{
  "data": {
    "a": {
      "slug": "gemini-4-hydrogen",
      "name": "Gemini 4 Hydrogen",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "inference",
      "summary": "Gemini 4 Hydrogen is Google's fast, lower-cost Gemini 4 model for everyday coding and agent work, on every tier of the Gemini API with a 1,048,576-token limit shared between input and output.",
      "url": "https://www.anchorterminal.com/tools/gemini-4-hydrogen",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json",
      "dns": "gemini-4-hydrogen.grade.anchorterminal.com",
      "license": "Closed model, used through the Gemini API and Google's apps under Google's terms",
      "transports": [],
      "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
      "packages": [],
      "auth": "api-key",
      "authNotes": "An `x-goog-api-key` from AI Studio. Google's announcement puts Hydrogen on all tiers of AI Studio and the Gemini API, so a free-tier key with no billing works, per that post and the Gemini API listing's reading of the free tier. Paid Google AI Pro and Ultra subscribers can use it in Antigravity. On Google Cloud it's `gemini-4-hydrogen` on the Agent Platform, with Cloud credentials.",
      "pricing": "usage",
      "pricingNotes": "Google's announcement gives $1.50 per million input tokens and $7.50 output, flat across the whole 1M-token window, and names no introductory period, cached-input or batch price. Every processed token is billed, thinking included. Hydrogen's free-tier limits are on the Gemini API pricing page, now at aistudio.google.com, not yet read (checked 2026-11-13).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Paid use needs billing on a Cloud project, per the Gemini API listing (checked 2026-11-13).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-13"
      },
      "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/guides/gemini-4-hydrogen",
      "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "multimodal",
        "reasoning",
        "long-context",
        "tool-calling",
        "usage-priced",
        "free-tier",
        "closed-source",
        "llms-txt",
        "new"
      ],
      "lastRelease": "2026-11-12",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.9,
        "grade": "B",
        "agentReady": false,
        "rank": 546,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 23,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 90,
          "maintenance": 85,
          "payments": 40,
          "reliability": 45,
          "schema": 85,
          "security": 50,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-13"
        },
        "negative": 0,
        "verdict": "Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.",
        "bestFor": "Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.",
        "strengths": [
          "On the free tier of the Gemini API, unlike Carbon and Argon",
          "$1.50 input and $7.50 output per million tokens, flat across the 1M-token window",
          "1,048,576 tokens shared between input and output, with long decodes to the full budget",
          "Four thinking levels, function calling, structured output, code execution, grounding and computer use",
          "The same API, keys and SDKs as Argon and Carbon, plus an OpenAI-compatible surface, so switching is a model ID"
        ],
        "weaknesses": [
          "temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400",
          "No explicit context caching or prefilled model turns, and strict thought-signature rules on parallel calls",
          "A short-term release, with a minimum of 45 days' notice before retirement on Google Cloud",
          "Free-tier content is used to improve Google's products and may be read by people",
          "Benchmark figures are Google's own, and the model card says jailbreak resistance is still being improved"
        ],
        "agentNotes": [
          "Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key",
          "Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency",
          "Don't send temperature, top_p, top_k, penalties or candidate_count above 1",
          "Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400",
          "Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.9
          }
        ],
        "editorialScores": {
          "ergonomics": 90,
          "maintenance": 85,
          "payments": 40,
          "reliability": 45,
          "schema": 85,
          "security": 50,
          "transparency": 55
        },
        "provenanceScore": 89,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-13",
            "maintenance": "2026-11-13",
            "payments": "2026-11-13",
            "reliability": "2026-11-13",
            "schema": "2026-11-13",
            "security": "2026-11-13",
            "transparency": "2026-11-13"
          },
          "last": "2026-11-13",
          "oldest": "2026-11-13",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-4-hydrogen:generateContent\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"contents\":[{\"parts\":[{\"text\":\"hello\"}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/gemini-4-hydrogen"
      },
      "sameCompany": [
        "gemini-4-carbon",
        "vertex-ai",
        "embeddinggemma-2",
        "embeddinggemma-300m",
        "gemini-embedding",
        "vertex-ai-tuning",
        "cloud-run-gpus",
        "google-model-armor",
        "shieldgemma",
        "google-imagen",
        "gemini-omni-1-2-flash",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "google-cloud-tts",
        "gemini-live",
        "google-adk",
        "google-memory-bank",
        "google-secret-manager",
        "google-cloud-document-ai",
        "google-weather-api",
        "chrome-devtools-mcp",
        "puppeteer",
        "mcp-toolbox-databases",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-cloud-storage",
        "google-drive-api",
        "gemini-enterprise",
        "gemini-decision-1",
        "antigravity-cli",
        "gemini-cli",
        "harness2",
        "jules",
        "gemini-spark",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api",
        "google-people-api",
        "diffusiongemma-26b-a4b-it",
        "gemma-4-12b-it",
        "gemma-4-26b-a4b-it",
        "gemma-4-31b-it",
        "gemma-4-e2b-it",
        "gemma-4-e4b-it",
        "virustotal"
      ],
      "sameModel": [
        "gemini-api"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Gemini 4 Hydrogen input",
          "unit": "1m-tokens",
          "usd": 1.5,
          "note": "Flat across the 1M window"
        },
        {
          "item": "Gemini 4 Hydrogen output",
          "unit": "1m-tokens",
          "usd": 7.5,
          "note": "Thinking tokens included"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
        "endpointOnVendorDomain": true,
        "terms": "https://ai.google.dev/gemini-api/terms",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-11-13",
        "score": 89
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-4-hydrogen.json",
      "live": {
        "slug": "gemini-4-hydrogen",
        "probe": {
          "target": "https://generativelanguage.googleapis.com/v1beta",
          "method": "get",
          "lastAt": "2026-11-13T23:58:42.468588204Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 10,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 33,
          "p95ms24h": 85,
          "samples24h": 32,
          "samples30d": 32,
          "days": [
            {
              "date": "2026-11-13",
              "probes": 32,
              "ok": 32
            }
          ],
          "since": "2026-11-13T20:58:02.850712558Z"
        },
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-11-13T23:54:32.148379631Z"
        },
        "updatedAt": "2026-11-13T23:58:42.468588204Z"
      },
      "streak": {
        "days": 1,
        "from": "2026-11-13",
        "sinceWatching": true,
        "best": 1
      }
    },
    "answer": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against MiniMax API's 56.5 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability.",
    "b": {
      "slug": "minimax-api",
      "name": "MiniMax API",
      "vendor": "MiniMax",
      "vendorUrl": "https://www.minimax.io",
      "kind": "model",
      "category": "inference",
      "summary": "MiniMax's API for its M-series text models, M3.1 Flash and M3, in the Anthropic Messages, OpenAI Chat Completions and OpenAI Responses formats, with 1M-token context and automatic prompt caching.",
      "url": "https://www.anchorterminal.com/tools/minimax-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/minimax-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/minimax-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/minimax-api.json",
      "dns": "minimax-api.grade.anchorterminal.com",
      "repo": "https://github.com/MiniMax-AI/MiniMax-M3",
      "license": "Proprietary API under MiniMax's platform terms. MiniMax-M3 and MiniMax-M3.1-Flash weights are on Hugging Face under the MiniMax community licence",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.minimax.io",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Bearer key from platform.minimax.io, charged to a prepaid balance. M Plan subscribers get a separate Subscription Key that draws on the plan's usage windows, and the two kinds of key can't be swapped. Mainland China accounts use api.minimaxi.com with a separate key. MiniMax says it may disable a key that leaks publicly.",
      "pricing": "usage",
      "pricingNotes": "Prepaid balance, pay as you go. MiniMax-M3.1-Flash is $0.15 per million input tokens, $0.60 per million output tokens and $0.015 per million cache-read tokens at any input length. MiniMax-M3 is $0.30 in and $1.20 out up to 512K input tokens and $0.60 and $2.40 above, with cache reads at $0.06 and $0.12, and a Priority tier at 1.5 times that M3.1 Flash doesn't take. Caching is automatic. The web_search server tool (beta) is $0.01 a request. M Plan subscriptions for coding tools are Go $22, Explore $55 and Build $132 a month, and annual billing pays for 10 months (https://platform.minimax.io/docs/pricing/overview, https://platform.minimax.io/docs/m-plan/monthly-offer, checked 19 October 2026).",
      "priceSummary": "from $0.15 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, llms.txt or pricing page. Prepaid balance top-up or an M Plan subscription (checked 2026-10-19).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 493,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://platform.minimax.io/docs/guides/text-generation",
      "rateLimitsUrl": "https://platform.minimax.io/docs/guides/rate-limits",
      "llmsTxt": "https://platform.minimax.io/docs/llms.txt",
      "openapi": "https://platform.minimax.io/docs/api-reference/text/api/openapi-chat-anthropic.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "open-weights",
        "prepaid",
        "openapi",
        "llms-txt"
      ],
      "lastRelease": "2026-10-19",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.5,
        "grade": "C",
        "agentReady": false,
        "rank": 914,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 32,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 59,
          "maintenance": 45,
          "payments": 30,
          "reliability": 75,
          "schema": 82,
          "security": 30,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-04"
        },
        "negative": 0,
        "verdict": "M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 212 LLM error incidents from 6 August to 3 November 2026, one over an hour.",
        "bestFor": "Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.",
        "strengths": [
          "M3.1 Flash at $0.15 in, $0.60 out and $0.015 for cache reads per million tokens, flat at any input length",
          "Anthropic Messages, OpenAI Chat Completions and OpenAI Responses formats, each with an OpenAPI 3.1 file",
          "1M-token context and up to 524,288 output tokens on M3.1 Flash and M3",
          "Automatic prompt caching and a token-count endpoint",
          "MiniMax-M3 and, since 23 October 2026, MiniMax-M3.1-Flash weights on Hugging Face under the MiniMax community licence"
        ],
        "weaknesses": [
          "The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found",
          "No free tier, SLA, batch API, JSON Schema output mode or security.txt",
          "212 'Elevated errors' incidents on the LLM component from 6 August to 3 November 2026, one of 65 minutes and the rest under an hour",
          "M2.5 and M2.7 retire on 18 November 2026, 30 days after new users lost them, and plan requests to them already go to M3.1 Flash",
          "The model list calls M2.5 and M2.7 retired while the notice on the same page gives 18 November 2026"
        ],
        "agentNotes": [
          "Use the Anthropic-format base URL `https://api.minimax.io/anthropic` for tool calls. The OpenAI-format schema has no `tool_choice` or `response_format`",
          "Set `output_config.effort` (or `reasoning_effort`) below `max` for routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking against `max_tokens`",
          "Don't rely on `stop_sequences` or `top_k`. The Anthropic-format endpoint ignores them",
          "Back off on 429, 529 and the retry-later codes (1002, 2064) yourself. No Retry-After header is documented",
          "Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.8,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.5
          }
        ],
        "editorialScores": {
          "ergonomics": 59,
          "maintenance": 45,
          "payments": 30,
          "reliability": 75,
          "schema": 82,
          "security": 30,
          "transparency": 47
        },
        "provenanceScore": 82,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://api.minimax.io/anthropic/v1/messages \\\n  -H \"Authorization: Bearer $MINIMAX_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"MiniMax-M3.1-Flash\",\"output_config\":{\"effort\":\"low\"},\"max_tokens\":4096,\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/minimax-api"
      },
      "sameCompany": [
        "minimax-video",
        "minimax-stt",
        "minimax-speech",
        "minimax-voice-cloning",
        "minimax-code",
        "minimax-m2-5",
        "minimax-m2-7",
        "minimax-m3-1-flash"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "web_search server tool (beta)",
          "unit": "1k-requests",
          "usd": 10
        },
        {
          "item": "M Plan Go",
          "unit": "month",
          "usd": 22,
          "note": "M3.1 Flash, image and audio, no video. Annual billing pays for 10 months"
        },
        {
          "item": "M Plan Explore",
          "unit": "month",
          "usd": 55,
          "note": "3 times Go's usage, adds H3 video"
        },
        {
          "item": "M Plan Build",
          "unit": "month",
          "usd": 132,
          "note": "7.5 times Go's usage, adds H3 video"
        }
      ],
      "provenance": {
        "legalEntity": "Nanonoble Pte. Ltd.",
        "domain": "minimax.io",
        "domainRegistered": "2021-03-27",
        "endpointOnVendorDomain": true,
        "terms": "https://platform.minimax.io/protocol/terms-of-service",
        "privacy": "https://platform.minimax.io/protocol/privacy-policy",
        "statusPage": "https://status.minimax.io",
        "changelog": "https://platform.minimax.io/docs/release-notes/models",
        "securityTxt": "none",
        "checked": "2026-11-04",
        "notes": [
          "Nanonoble Pte. Ltd., 152 Beach Road, #14-02 Gateway East, Singapore, is named in the terms (effective 30 March 2026) and the privacy policy (updated 30 March 2026), read on 19 October and again on 4 November 2026 from the document text the pages carry for the browser. The policy reader recorded both pages as unreadable on 8 October, and that reading is kept.",
          "RDAP for minimax.io gives a registration date of 2021-03-27 and a transfer on 2025-01-31, as recorded on the MiniMax Video API listing.",
          "platform.minimax.io answers 404 for /.well-known/security.txt (4 November 2026). api.minimax.io answered 404 and www.minimax.io redirected it to the home page on 19 October.",
          "The API release notes page has no entry after 28 October 2025. Model releases are dated on a separate page, whose newest entry on 4 November 2026 is 19 October 2026."
        ],
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/minimax-api.json",
      "live": {
        "slug": "minimax-api",
        "probe": {
          "target": "https://api.minimax.io",
          "method": "get",
          "lastAt": "2026-11-13T23:58:50.307381324Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 111,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 174,
          "p95ms24h": 379,
          "samples24h": 239,
          "samples30d": 6219,
          "days": [
            {
              "date": "2026-10-19",
              "probes": 93,
              "ok": 93
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-29",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-30",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-31",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-11-01",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 241,
              "ok": 241
            },
            {
              "date": "2026-11-07",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-08",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-09",
              "probes": 243,
              "ok": 243
            },
            {
              "date": "2026-11-10",
              "probes": 244,
              "ok": 244
            },
            {
              "date": "2026-11-11",
              "probes": 244,
              "ok": 244
            },
            {
              "date": "2026-11-12",
              "probes": 245,
              "ok": 245
            },
            {
              "date": "2026-11-13",
              "probes": 238,
              "ok": 238
            }
          ],
          "since": "2026-10-19T00:00:00Z"
        },
        "vendorStatus": {
          "page": "https://status.minimax.io",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-13T23:54:46.202794579Z"
        },
        "githubStars": 503,
        "securityTxt": {
          "url": "https://minimax.io/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-13T16:15:09.438694394Z"
        },
        "llmsTxt": {
          "url": "https://platform.minimax.io/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:54:59.886965781Z"
        },
        "domain": {
          "domain": "minimax.io",
          "checkedAt": "2026-11-08T14:54:44.54388672Z"
        },
        "pages": [
          {
            "url": "https://platform.minimax.io/docs/faq/models",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-13T18:27:16.565248246Z",
            "changedAt": "2026-11-13T18:27:16.565248246Z",
            "fingerprint": "fd58d46b6f05"
          },
          {
            "url": "https://platform.minimax.io/docs/release-notes/models",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-13T18:27:22.987187732Z",
            "changedAt": "2026-11-13T18:27:22.987187732Z",
            "fingerprint": "29157bc84b9c"
          },
          {
            "url": "https://platform.minimax.io/docs/pricing/overview",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-11-13T18:27:19.129933024Z",
            "changedAt": "2026-11-13T18:27:19.129933024Z",
            "fingerprint": "18f07896f1f2"
          },
          {
            "url": "https://platform.minimax.io/protocol/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-13T18:27:24.802045712Z",
            "changedAt": "2026-10-31T06:18:23.585835081Z",
            "fingerprint": "1ae59257a3a9"
          },
          {
            "url": "https://platform.minimax.io/protocol/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-13T18:27:26.816676579Z",
            "changedAt": "2026-10-31T06:18:25.544630345Z",
            "fingerprint": "f98c6c8b7950"
          }
        ],
        "github": {
          "repo": "minimax-ai/minimax-m3",
          "checkedAt": "2026-11-09T10:02:02.118636196Z",
          "stars": 500,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-26T07:05:04Z",
          "openIssues": 29,
          "openPRs": 0,
          "issuesOpened90d": 8,
          "issuesClosed90d": 0,
          "prsMerged90d": 1,
          "replies": {
            "sampled": 25,
            "unanswered": 23,
            "medianDays": 8.8
          }
        },
        "updatedAt": "2026-11-13T23:58:50.307381324Z"
      },
      "streak": {
        "days": 26,
        "from": "2026-10-19",
        "sinceWatching": true,
        "next": {
          "kind": "shutdown",
          "date": "2026-11-18",
          "what": "MiniMax-M2.5, M2.5-highspeed, M2.7 and M2.7-highspeed retire, replacement MiniMax-M3.1-Flash",
          "source": "https://platform.minimax.io/docs/faq/models"
        },
        "best": 26
      }
    },
    "edges": [
      {
        "by": 40,
        "category": "maintenance",
        "leads": "gemini-4-hydrogen",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85.",
          "b": "Model reading. MiniMax-M3.1-Flash shipped on 19 October 2026, dated on the model release page, which has no newer entry on 4 November (16 days, 30). No stated notice policy. The M2.5 and M2.7 families closed to new users on 19 October and retire on 18 November, 30 days later, and from 19 October M Plan and Token Plan requests to them are served by M3.1 Flash under the old names. We couldn't find when that notice was first posted, and the page carries the same notice on 4 November (3 of 12). Churn is high. M2.5 (February 2026) and M2.7 (March 2026) retire within nine months of release, M2.1 and M2 are already retired, and the model list still calls M2.5 and M2.7 retired on 4 November while the notice on the same page gives 18 November (2 of 8). A dated release page, support email addresses on the contact and model pages, a Discord server and GitHub issues on the model repositories. We didn't test whether they answer (10 of 15). No official SDK (0 of 15, 0 of 10). Total 45."
        },
        "scores": {
          "a": 85,
          "b": 45
        }
      },
      {
        "by": 31,
        "category": "ergonomics",
        "leads": "gemini-4-hydrogen",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90.",
          "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use on all three formats, with `tool_choice` on the Anthropic format only (17 of 20). No JSON Schema output mode documented on any format (0 of 15). Caching is automatic, with cache reads at a tenth of the input price on M3.1 Flash and a token-count endpoint for sizing a request (15). 1,000,000-token context and up to 524,288 output tokens (15). No batch API found (0). No official SDK. The docs point to the Anthropic and OpenAI SDKs and the AI SDK (0). Typed error bodies with a request id on the Anthropic format and a code table, though `stop_sequences` is ignored without an error (12 of 15). M3.1 Flash can't turn thinking off and defaults to the deepest `effort`, which costs output tokens unless the caller lowers it. Total 59."
        },
        "scores": {
          "a": 90,
          "b": 59
        }
      },
      {
        "by": 30,
        "category": "reliability",
        "leads": "minimax-api",
        "name": "Reliability",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45.",
          "b": "Atlassian Statuspage at status.minimax.io with Large Language Models, Text-to-Speech and Video Generation components (20). Its history pages, re-read on 4 November, now cover the whole 90 days from 6 August. They list 212 incidents on the LLM component, every one titled 'Elevated errors on Large Language Models (LLM)' and labelled major, and none states a full outage. The longest ran 65 minutes (01:15 to 02:20 UTC on 20 October, 'We are currently investigating this issue' and then resolved), and the rest closed within the hour. This run reads elevated errors with no fuller scope as partial, so minor only, frequent as they are (20). The rate-limits page publishes 200 requests and 10,000,000 tokens a minute for M3.1 Flash and M3 (15). The Anthropic-format OpenAPI file documents 429 for rate limits and 529 as an overload that can be retried, and the error-code page says to retry later on 1002, 2064 and other codes, with no Retry-After header or backoff schedule found (10). No SLA found (0). M3.1 Flash and M3 are generally available (10). Total 75."
        },
        "scores": {
          "a": 45,
          "b": 75
        }
      },
      {
        "by": 20,
        "category": "security",
        "leads": "gemini-4-hydrogen",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50.",
          "b": "Model reading (credential, training, retention, operator visibility, programme). One bearer key per account on the pay-as-you-go side and a separate Subscription Key for M Plan, with no scopes found. MiniMax says it may disable keys that leak publicly (20 of 30). The terms, effective 30 March 2026 and unchanged on 4 November, say MiniMax may use input and generated content to provide, maintain, develop and improve its services, and no opt-out was found. The privacy policy says only that personal data isn't used for training to profile or target consumers (0 of 20). Data is kept as long as necessary for its purpose, with no period stated and no zero-retention route (5 of 15). A usage page and balance alerts, no audit log found (5 of 15). No security.txt on platform.minimax.io (404 again on 4 November) or api.minimax.io (per the 19 October check), and no bug bounty or certification found (0 of 20). Total 30."
        },
        "scores": {
          "a": 50,
          "b": 30
        }
      },
      {
        "by": 10,
        "category": "payments",
        "leads": "gemini-4-hydrogen",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). Prices published in Google's announcement without a login, $1.50 input and $7.50 output per million tokens, flat across the window; the Gemini API pricing page, now at aistudio.google.com, is still to be read for Hydrogen's row (20). A free tier with no card: Google's announcement puts Hydrogen on all tiers of the Gemini API, and the free tier needs no billing account per the gemini-api listing; its limits for Hydrogen are on that pricing page (20). A Google account and AI Studio for a key (0). 0 + 20 + 20 + 0 = 40.",
          "b": "No x402, MPP or L402 (0). Per-token prices for M3.1 Flash and M3 are published without a login, unchanged on 4 November (20). No free tier found for the text models (0). A person signs up in a browser and tops up a balance or buys an M Plan before the first call (0). Total 20. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30."
        },
        "scores": {
          "a": 40,
          "b": 30
        }
      },
      {
        "by": 7,
        "category": "transparency",
        "leads": "gemini-4-hydrogen",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.",
          "b": "Closed service with clear terms under Singapore law and SIAC arbitration. MiniMax-M3's weights, and since 23 October 2026 MiniMax-M3.1-Flash's, are on Hugging Face under the MiniMax community licence, which isn't an OSI licence and doesn't change the hosted service (15). The terms and privacy policy, both still dated 30 March 2026 on 4 November, agree on the contracting entity, that inputs and outputs are processed and may be used to improve services, and that data sits in a United States data centre, but give no retention period and no DPA was read (10 of 30). A dated retirement notice for M2.5 and M2.7 and a retired-models table, undercut by the table contradicting the notice and API release notes a year stale (12 of 20). Data location stated as the United States and an EU representative named, with third parties named only by category (10 of 20). MiniMax publishes an EU AI Act training-data summary for M3. Total 47."
        },
        "scores": {
          "a": 72,
          "b": 65
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Google",
        "b": "MiniMax",
        "name": "Vendor"
      },
      {
        "a": "https://generativelanguage.googleapis.com/v1beta",
        "b": "https://api.minimax.io",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Closed model, used through the Gemini API and Google's apps under Google's terms",
        "b": "Proprietary API under MiniMax's platform terms. MiniMax-M3 and MiniMax-M3.1-Flash weights are on Hugging Face under the MiniMax community licence",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-12",
        "b": "2026-10-19",
        "name": "Last release"
      },
      {
        "a": "2026-04-28",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "493 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against MiniMax API's 56.5 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability.",
        "question": "Which is better for AI agents, Gemini 4 Hydrogen or MiniMax API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Gemini 4 Hydrogen and MiniMax API need an API key?"
      },
      {
        "answer": "Yes. Gemini 4 Hydrogen has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and MiniMax API at https://api.minimax.io.",
        "question": "Can an agent call Gemini 4 Hydrogen and MiniMax API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 90 against 59",
          "Security \u0026 auth, 50 against 30",
          "Payments \u0026 pricing, 40 against 30",
          "Maintenance \u0026 community, 85 against 45",
          "Transparency \u0026 trust, 72 against 65"
        ],
        "also": null,
        "goodFor": "Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.",
        "slug": "gemini-4-hydrogen",
        "watchFor": "temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400"
      },
      {
        "aheadOn": [
          "Reliability, 75 against 45"
        ],
        "also": null,
        "goodFor": "Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.",
        "slug": "minimax-api",
        "watchFor": "The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found"
      }
    ],
    "history": {
      "gemini-4-hydrogen": null,
      "minimax-api": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.2,
          "from": 55.3,
          "fromGrade": "C",
          "to": 56.5,
          "toGrade": "C"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-28",
          "delta": 0.1,
          "from": 55.2,
          "fromGrade": "C",
          "to": 55.3,
          "toGrade": "C"
        }
      ]
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.json",
        "title": "Amazon Bedrock vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-minimax-api.json",
        "title": "Amazon Bedrock vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.json",
        "title": "Claude API vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api.json",
        "title": "Claude API vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.json",
        "title": "Antseed vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-minimax-api.json",
        "title": "Antseed vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-hydrogen.json",
        "title": "Azure OpenAI in Foundry Models vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-minimax-api.json",
        "title": "Azure OpenAI in Foundry Models vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen.json",
        "title": "BlockRun.AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-minimax-api.json",
        "title": "BlockRun.AI vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen.json",
        "title": "Cerebras Inference vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-minimax-api.json",
        "title": "Cerebras Inference vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-hydrogen.json",
        "title": "Claude Fable 5.2 vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-minimax-api.json",
        "title": "Claude Fable 5.2 vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-hydrogen.json",
        "title": "Claude Mythos 5.2 vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api.json",
        "title": "Claude Mythos 5.2 vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-hydrogen.json",
        "title": "Cloudflare AI Gateway vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-minimax-api.json",
        "title": "Cloudflare AI Gateway vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen.json",
        "title": "Cloudflare Workers AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api.json",
        "title": "Cloudflare Workers AI vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-hydrogen.json",
        "title": "Cohere Chat API (Command models) vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-minimax-api.json",
        "title": "Cohere Chat API (Command models) vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-minimax-api"
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      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-hydrogen.json",
        "title": "DeepInfra vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-minimax-api.json",
        "title": "DeepInfra vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-hydrogen.json",
        "title": "DeepSeek API vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-minimax-api.json",
        "title": "DeepSeek API vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen.json",
        "title": "Eden AI vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen"
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      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-minimax-api.json",
        "title": "Eden AI vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.json",
        "title": "Glimpse vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-minimax-api.json",
        "title": "Glimpse vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-hydrogen.json",
        "title": "Fireworks AI Inference vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-minimax-api.json",
        "title": "Fireworks AI Inference vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen.json",
        "title": "Gemini 4 Carbon vs Gemini 4 Hydrogen",
        "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-minimax-api.json",
        "title": "Gemini 4 Carbon vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-gemini-api.json",
        "title": "Gemini 4 Hydrogen vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-gemini-api"
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      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-groq.json",
        "title": "Gemini 4 Hydrogen vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers.json",
        "title": "Gemini 4 Hydrogen vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4.json",
        "title": "Gemini 4 Hydrogen vs Tencent Hy4",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3.json",
        "title": "Gemini 4 Hydrogen vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3"
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      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api.json",
        "title": "Gemini 4 Hydrogen vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-mistral-api.json",
        "title": "Gemini 4 Hydrogen vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-ember.json",
        "title": "Gemini 4 Hydrogen vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-ember"
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      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open.json",
        "title": "Gemini 4 Hydrogen vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl.json",
        "title": "Gemini 4 Hydrogen vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai.json",
        "title": "Gemini 4 Hydrogen vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api.json",
        "title": "Gemini 4 Hydrogen vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter.json",
        "title": "Gemini 4 Hydrogen vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference.json",
        "title": "Gemini 4 Hydrogen vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router.json",
        "title": "Gemini 4 Hydrogen vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam.json",
        "title": "Gemini 4 Hydrogen vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus.json",
        "title": "Gemini 4 Hydrogen vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova.json",
        "title": "Gemini 4 Hydrogen vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow.json",
        "title": "Gemini 4 Hydrogen vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart.json",
        "title": "Gemini 4 Hydrogen vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api.json",
        "title": "Gemini 4 Hydrogen vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash.json",
        "title": "Gemini 4 Hydrogen vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub.json",
        "title": "Gemini 4 Hydrogen vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-together-inference.json",
        "title": "Gemini 4 Hydrogen vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vercel-ai-gateway.json",
        "title": "Gemini 4 Hydrogen vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vertex-ai.json",
        "title": "Gemini 4 Hydrogen vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-xai-api.json",
        "title": "Gemini 4 Hydrogen vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-minimax-api.json",
        "title": "Gemini Developer API vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-minimax-api.json",
        "title": "GroqCloud vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/groq-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-minimax-api.json",
        "title": "Hugging Face Inference Providers vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-minimax-api.json",
        "title": "Tencent Hy4 vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-minimax-api.json",
        "title": "Jais 3 vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-minimax-api.json",
        "title": "Meta Model API vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-mistral-api.json",
        "title": "MiniMax API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember.json",
        "title": "MiniMax API vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-spark-open.json",
        "title": "MiniMax API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-nemotron-3-5-super-vl.json",
        "title": "MiniMax API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-novita-ai.json",
        "title": "MiniMax API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-openai-api.json",
        "title": "MiniMax API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-openrouter.json",
        "title": "MiniMax API vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-prism-inference.json",
        "title": "MiniMax API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router.json",
        "title": "MiniMax API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-reflection-beam.json",
        "title": "MiniMax API vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-reflection-beam"
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      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-routerplus.json",
        "title": "MiniMax API vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-sambanova.json",
        "title": "MiniMax API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-siliconflow.json",
        "title": "MiniMax API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-simplismart.json",
        "title": "MiniMax API vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-stepfun-api.json",
        "title": "MiniMax API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash.json",
        "title": "MiniMax API vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-tencent-tokenhub.json",
        "title": "MiniMax API vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-together-inference.json",
        "title": "MiniMax API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-vercel-ai-gateway.json",
        "title": "MiniMax API vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai.json",
        "title": "MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-xai-api.json",
        "title": "MiniMax API vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-xai-api"
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    ],
    "panel": null,
    "scores": [
      {
        "by": 30,
        "edge": "minimax-api",
        "gemini-4-hydrogen": 45,
        "key": "reliability",
        "minimax-api": 75,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 85,
        "key": "schema",
        "minimax-api": 82,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 31,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 90,
        "key": "ergonomics",
        "minimax-api": 59,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 20,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 50,
        "key": "security",
        "minimax-api": 30,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 10,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 40,
        "key": "payments",
        "minimax-api": 30,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 40,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 85,
        "key": "maintenance",
        "minimax-api": 45,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 7,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 72,
        "key": "transparency",
        "minimax-api": 65,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against MiniMax API's 56.5 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "gemini-4-hydrogen": "Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.",
      "minimax-api": "M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 212 LLM error incidents from 6 August to 3 November 2026, one over an hour."
    }
  },
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  "links": {
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    "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api.json",
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  },
  "markdown": "Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against MiniMax API's 56.5 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability. Both do llm inference.\n\n- Gemini 4 Hydrogen: grade B, 64.9/100, rank #546 of 1524. Markdown https://www.anchorterminal.com/tools/gemini-4-hydrogen.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json\n- MiniMax API: grade C, 56.5/100, rank #914 of 1524. Markdown https://www.anchorterminal.com/tools/minimax-api.md · JSON https://www.anchorterminal.com/api/v1/tools/minimax-api.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 1044 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Gemini 4 Hydrogen (B)\n\nGood for: Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.\n\nAhead on:\n- Agent ergonomics, 90 against 59\n- Security \u0026 auth, 50 against 30\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 85 against 45\n- Transparency \u0026 trust, 72 against 65\n\nWatch for: temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400\n\n### MiniMax API (C)\n\nGood for: Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.\n\nAhead on:\n- Reliability, 75 against 45\n\nWatch for: The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Gemini 4 Hydrogen +40\n\n- Gemini 4 Hydrogen (85): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85.\n- MiniMax API (45): Model reading. MiniMax-M3.1-Flash shipped on 19 October 2026, dated on the model release page, which has no newer entry on 4 November (16 days, 30). No stated notice policy. The M2.5 and M2.7 families closed to new users on 19 October and retire on 18 November, 30 days later, and from 19 October M Plan and Token Plan requests to them are served by M3.1 Flash under the old names. We couldn't find when that notice was first posted, and the page carries the same notice on 4 November (3 of 12). Churn is high. M2.5 (February 2026) and M2.7 (March 2026) retire within nine months of release, M2.1 and M2 are already retired, and the model list still calls M2.5 and M2.7 retired on 4 November while the notice on the same page gives 18 November (2 of 8). A dated release page, support email addresses on the contact and model pages, a Discord server and GitHub issues on the model repositories. We didn't test whether they answer (10 of 15). No official SDK (0 of 15, 0 of 10). Total 45.\n\n### Agent ergonomics: Gemini 4 Hydrogen +31\n\n- Gemini 4 Hydrogen (90): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90.\n- MiniMax API (59): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use on all three formats, with `tool_choice` on the Anthropic format only (17 of 20). No JSON Schema output mode documented on any format (0 of 15). Caching is automatic, with cache reads at a tenth of the input price on M3.1 Flash and a token-count endpoint for sizing a request (15). 1,000,000-token context and up to 524,288 output tokens (15). No batch API found (0). No official SDK. The docs point to the Anthropic and OpenAI SDKs and the AI SDK (0). Typed error bodies with a request id on the Anthropic format and a code table, though `stop_sequences` is ignored without an error (12 of 15). M3.1 Flash can't turn thinking off and defaults to the deepest `effort`, which costs output tokens unless the caller lowers it. Total 59.\n\n### Reliability: MiniMax API +30\n\n- Gemini 4 Hydrogen (45): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45.\n- MiniMax API (75): Atlassian Statuspage at status.minimax.io with Large Language Models, Text-to-Speech and Video Generation components (20). Its history pages, re-read on 4 November, now cover the whole 90 days from 6 August. They list 212 incidents on the LLM component, every one titled 'Elevated errors on Large Language Models (LLM)' and labelled major, and none states a full outage. The longest ran 65 minutes (01:15 to 02:20 UTC on 20 October, 'We are currently investigating this issue' and then resolved), and the rest closed within the hour. This run reads elevated errors with no fuller scope as partial, so minor only, frequent as they are (20). The rate-limits page publishes 200 requests and 10,000,000 tokens a minute for M3.1 Flash and M3 (15). The Anthropic-format OpenAPI file documents 429 for rate limits and 529 as an overload that can be retried, and the error-code page says to retry later on 1002, 2064 and other codes, with no Retry-After header or backoff schedule found (10). No SLA found (0). M3.1 Flash and M3 are generally available (10). Total 75.\n\n### Security \u0026 auth: Gemini 4 Hydrogen +20\n\n- Gemini 4 Hydrogen (50): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50.\n- MiniMax API (30): Model reading (credential, training, retention, operator visibility, programme). One bearer key per account on the pay-as-you-go side and a separate Subscription Key for M Plan, with no scopes found. MiniMax says it may disable keys that leak publicly (20 of 30). The terms, effective 30 March 2026 and unchanged on 4 November, say MiniMax may use input and generated content to provide, maintain, develop and improve its services, and no opt-out was found. The privacy policy says only that personal data isn't used for training to profile or target consumers (0 of 20). Data is kept as long as necessary for its purpose, with no period stated and no zero-retention route (5 of 15). A usage page and balance alerts, no audit log found (5 of 15). No security.txt on platform.minimax.io (404 again on 4 November) or api.minimax.io (per the 19 October check), and no bug bounty or certification found (0 of 20). Total 30.\n\n### Payments \u0026 pricing: Gemini 4 Hydrogen +10\n\n- Gemini 4 Hydrogen (40): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). Prices published in Google's announcement without a login, $1.50 input and $7.50 output per million tokens, flat across the window; the Gemini API pricing page, now at aistudio.google.com, is still to be read for Hydrogen's row (20). A free tier with no card: Google's announcement puts Hydrogen on all tiers of the Gemini API, and the free tier needs no billing account per the gemini-api listing; its limits for Hydrogen are on that pricing page (20). A Google account and AI Studio for a key (0). 0 + 20 + 20 + 0 = 40.\n- MiniMax API (30): No x402, MPP or L402 (0). Per-token prices for M3.1 Flash and M3 are published without a login, unchanged on 4 November (20). No free tier found for the text models (0). A person signs up in a browser and tops up a balance or buys an M Plan before the first call (0). Total 20. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30.\n\n### Transparency \u0026 trust: Gemini 4 Hydrogen +7\n\n- Gemini 4 Hydrogen (72): Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.\n- MiniMax API (65): Closed service with clear terms under Singapore law and SIAC arbitration. MiniMax-M3's weights, and since 23 October 2026 MiniMax-M3.1-Flash's, are on Hugging Face under the MiniMax community licence, which isn't an OSI licence and doesn't change the hosted service (15). The terms and privacy policy, both still dated 30 March 2026 on 4 November, agree on the contracting entity, that inputs and outputs are processed and may be used to improve services, and that data sits in a United States data centre, but give no retention period and no DPA was read (10 of 30). A dated retirement notice for M2.5 and M2.7 and a retired-models table, undercut by the table contradicting the notice and API release notes a year stale (12 of 20). Data location stated as the United States and an EU representative named, with third parties named only by category (10 of 20). MiniMax publishes an EU AI Act training-data summary for M3. Total 47.\n\n## Score by category\n\n| Category | Weight | Gemini 4 Hydrogen | MiniMax API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 75 | MiniMax API +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 82 | Gemini 4 Hydrogen +3 |\n| Agent ergonomics | 13% (16.2 this run) | 90 | 59 | Gemini 4 Hydrogen +31 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 30 | Gemini 4 Hydrogen +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | Gemini 4 Hydrogen +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 45 | Gemini 4 Hydrogen +40 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 65 | Gemini 4 Hydrogen +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.9 · B** | **56.5 · C** | |\n\n## Facts side by side\n\n| Fact | Gemini 4 Hydrogen | MiniMax API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | MiniMax |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.minimax.io` |\n| Transports |  | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model, used through the Gemini API and Google's apps under Google's terms | Proprietary API under MiniMax's platform terms. MiniMax-M3 and MiniMax-M3.1-Flash weights are on Hugging Face under the MiniMax community licence |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-12 | 2026-10-19 |\n| Terms last updated | 2026-04-28 | couldn't be read |\n| Privacy policy last updated | 2026-10-01 | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | none | 493 stars |\n| Agent reviews | none | 2.8/5 (4) |\n\n## How the scores have moved\n\n### Gemini 4 Hydrogen\n\nNo score change since it was listed.\n\n### MiniMax API\n\n- +1.2 on 13 November 2026: checklist\n- +0.1 on 28 October 2026: checklist\n\n## Verdicts\n\n**Gemini 4 Hydrogen.** Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.\n\n**MiniMax API.** M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 212 LLM error incidents from 6 August to 3 November 2026, one over an hour.\n\n## Before you call either\n\n### Gemini 4 Hydrogen\n\n1. Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key\n2. Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency\n3. Don't send temperature, top_p, top_k, penalties or candidate_count above 1\n4. Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400\n5. Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier\n\n### MiniMax API\n\n1. Use the Anthropic-format base URL `https://api.minimax.io/anthropic` for tool calls. The OpenAI-format schema has no `tool_choice` or `response_format`\n2. Set `output_config.effort` (or `reasoning_effort`) below `max` for routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking against `max_tokens`\n3. Don't rely on `stop_sequences` or `top_k`. The Anthropic-format endpoint ignores them\n4. Back off on 429, 529 and the retry-later codes (1002, 2064) yourself. No Retry-After header is documented\n5. Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key\n\n## Questions\n\n### Which is better for AI agents, Gemini 4 Hydrogen or MiniMax API?\n\nGemini 4 Hydrogen scores 64.9 (B) on agent readiness against MiniMax API's 56.5 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability.\n\n### Do Gemini 4 Hydrogen and MiniMax API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gemini 4 Hydrogen and MiniMax API without installing anything?\n\nYes. Gemini 4 Hydrogen has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and MiniMax API at https://api.minimax.io.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-4-hydrogen\", \"b\": \"minimax-api\"}`. From a terminal: `anchor compare gemini-4-hydrogen minimax-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json and https://www.anchorterminal.com/api/v1/tools/minimax-api.json\n\n## Other comparisons with Gemini 4 Hydrogen or MiniMax API\n\n- [Amazon Bedrock vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.md)\n- [Amazon Bedrock vs MiniMax API](https://www.anchorterminal.com/compare/amazon-bedrock-vs-minimax-api.md)\n- [Claude API vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.md)\n- [Claude API vs MiniMax API](https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api.md)\n- [Antseed vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.md)\n- [Antseed vs MiniMax API](https://www.anchorterminal.com/compare/antseed-vs-minimax-api.md)\n- [Azure OpenAI in Foundry Models vs Gemini 4 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