{
  "data": {
    "a": {
      "slug": "cerebras-inference",
      "name": "Cerebras Inference",
      "vendor": "Cerebras Systems Inc.",
      "vendorUrl": "https://www.cerebras.ai/inference",
      "kind": "http-api",
      "category": "inference",
      "summary": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API. It supports streaming, structured outputs, tool calling and prompt caching, with shared and dedicated inference options.",
      "url": "https://www.anchorterminal.com/tools/cerebras-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json",
      "dns": "cerebras-inference.grade.anchorterminal.com",
      "repo": "https://github.com/Cerebras/cerebras-cloud-sdk-python",
      "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.cerebras.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "cerebras-cloud-sdk"
        },
        {
          "registry": "npm",
          "name": "@cerebras/cerebras_cloud_sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys from the Cloud Console. Paid accounts scope keys to projects; trial accounts do not have projects. Keys do not expire and can be rotated by creating a replacement and deleting the old key.",
      "pricing": "paid",
      "pricingNotes": "Pay per token. GPT OSS 120B is $0.35 per million input tokens and $0.75 per million output tokens. New accounts get $5 for 30 days only after adding a verified payment method. Dedicated capacity is priced by agreement.",
      "priceSummary": "Paid",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 170,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://inference-docs.cerebras.ai",
      "llmsTxt": "https://inference-docs.cerebras.ai/llms.txt",
      "openapi": "https://inference-docs.cerebras.ai/api-reference/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "http-api",
        "inference",
        "api-key",
        "openapi",
        "llms-txt",
        "paid"
      ],
      "lastRelease": "2026-10-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.9,
        "grade": "B",
        "agentReady": false,
        "rank": 305,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 13,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 30,
          "reliability": 70,
          "schema": 93,
          "security": 70,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": 0,
        "verdict": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.",
        "bestFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.",
        "strengths": [
          "Public OpenAPI 3.1, Markdown docs, and official Python and TypeScript SDKs",
          "Tool calling, structured outputs, streaming and prompt caching on supported models",
          "Documented project controls, usage logs and numeric request and token limits"
        ],
        "weaknesses": [
          "Trial access requires a verified payment method and ends after $5 or 30 days",
          "The GPT OSS model page and central rate-limit page disagree on trial request limits",
          "Cloud terms returned an empty page to the reader; no public shared-inference SLA was established"
        ],
        "agentNotes": [
          "Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.",
          "Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.",
          "Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.",
          "Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.9
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 30,
          "reliability": 70,
          "schema": 93,
          "security": 70,
          "transparency": 45
        },
        "provenanceScore": 75,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl 'https://api.cerebras.ai/v1/chat/completions' -H \"Authorization: Bearer $CEREBRAS_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/cerebras-inference"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT OSS 120B input",
          "unit": "1m-tokens",
          "usd": 0.35,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        },
        {
          "item": "GPT OSS 120B output",
          "unit": "1m-tokens",
          "usd": 0.75,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        }
      ],
      "provenance": {
        "legalEntity": "Cerebras Systems Inc.",
        "domain": "cerebras.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://cloud.cerebras.ai/terms",
        "privacy": "https://www.cerebras.ai/privacy-policy",
        "statusPage": "https://status.cerebras.ai",
        "changelog": "https://inference-docs.cerebras.ai/support/change-log",
        "securityTxt": "none",
        "checked": "2026-11-01",
        "notes": [
          "Legal identity comes from the vendor policy pages. Domain registration was not checked.",
          "The SDK repository is not the source for the hosted inference service.",
          "Cloud terms at cloud.cerebras.ai/terms returned no readable document on 19 October and weren't re-read on 1 November; privacy identifies Cerebras Systems Inc.",
          "The well-known security.txt at www.cerebras.ai returned 404 again on 1 November 2026. The trust centre lists SOC 2 Type II."
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cerebras-inference.json",
      "live": {
        "slug": "cerebras-inference",
        "probe": {
          "target": "https://api.cerebras.ai/v1",
          "method": "get",
          "lastAt": "2026-11-13T23:58:35.365739034Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 122,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 140,
          "p95ms24h": 229,
          "samples24h": 239,
          "samples30d": 6299,
          "days": [
            {
              "date": "2026-10-19",
              "probes": 173,
              "ok": 173
            },
            {
              "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": 249,
              "ok": 249
            },
            {
              "date": "2026-10-30",
              "probes": 248,
              "ok": 248
            },
            {
              "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.cerebras.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-13T23:53:53.657954483Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@cerebras/cerebras_cloud_sdk",
            "version": "1.91.0",
            "seenAt": "2026-11-13T08:22:39.570376525Z"
          },
          {
            "registry": "pypi",
            "name": "cerebras-cloud-sdk",
            "version": "1.91.0",
            "released": "2026-07-16",
            "seenAt": "2026-11-13T08:22:39.367972998Z"
          }
        ],
        "githubStars": 173,
        "npmWeekly": 183981,
        "pypiWeekly": 225280,
        "securityTxt": {
          "url": "https://cerebras.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-13T16:16:18.813007772Z"
        },
        "llmsTxt": {
          "url": "https://inference-docs.cerebras.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:53:32.859055788Z"
        },
        "domain": {
          "domain": "cerebras.ai",
          "registered": "2017-12-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/cerebras.ai",
          "checkedAt": "2026-11-08T14:58:56.183412569Z"
        },
        "pages": [
          {
            "url": "https://inference-docs.cerebras.ai/support/change-log",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-13T18:21:40.882710769Z",
            "changedAt": "2026-11-13T18:21:40.882710769Z",
            "fingerprint": "7640c3a8eacb"
          },
          {
            "url": "https://www.cerebras.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-13T18:37:00.241281301Z",
            "changedAt": "2026-11-13T18:37:00.241281301Z",
            "fingerprint": "304229810b1c"
          },
          {
            "url": "https://cloud.cerebras.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-13T18:11:13.13102319Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "32931218130a"
          }
        ],
        "github": {
          "repo": "cerebras/cerebras-cloud-sdk-python",
          "checkedAt": "2026-11-09T10:00:38.072736569Z",
          "stars": 173,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-07-16T17:08:17Z",
          "openIssues": 1,
          "openPRs": 0,
          "issuesOpened90d": 2,
          "issuesClosed90d": 1,
          "prsMerged90d": 0,
          "replies": {
            "sampled": 13,
            "unanswered": 1,
            "medianDays": 35.4
          }
        },
        "updatedAt": "2026-11-13T23:58:35.365739034Z"
      },
      "streak": {
        "days": 26,
        "from": "2026-10-19",
        "sinceWatching": true,
        "best": 26
      }
    },
    "answer": "Cerebras Inference scores 69.9 (B) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 3 of 7 scored categories. Gemini 4 Hydrogen leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "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": [
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        "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
      }
    },
    "edges": [
      {
        "by": 25,
        "category": "reliability",
        "leads": "cerebras-inference",
        "name": "Reliability",
        "reasons": {
          "a": "Graded as listed, on the hosted API lines. Public component status history at status.cerebras.ai, with components for GPT-OSS-120B, Qwen-3.8-27b and the Developer Console (20). The history feed, read on 1 November 2026, runs back to November 2025, so the whole 90 days from 3 August were read. On 25 September 2026 Cerebras posted that parts of the service might be unavailable from 10:54 UTC, services were back at 13:41 UTC and the incident was resolved at 17:14 UTC, marked major and affecting both public model components. That is about 2 hours 47 minutes with the whole shared catalogue affected, one major. A 15-minute partial degradation of Gemma 4 31B on 27 August is minor, and the 30 August firewall maintenance was announced on 25 August (10). Numeric rate-limit tables, although the trial request limit is 5 a minute on the rate-limits page and 30 a minute on the GPT OSS page, re-read on 1 November (15). SDK error classes and bounded retries with backoff (15). No public shared-inference SLA established (0). Shared inference is generally available (10).",
          "b": "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."
        },
        "scores": {
          "a": 70,
          "b": 45
        }
      },
      {
        "by": 20,
        "category": "security",
        "leads": "cerebras-inference",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Revocable Bearer keys with rotation instructions (20). Paid-project boundaries, but no inference-only key permission found (10 of 20). GPT OSS documentation warns about undeclared tool calls and tells callers to validate them (10 of 15). Request and audit logs in the console (15). Trust centre lists SOC 2 Type II, with reports requiring access (15 of 20).",
          "b": "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."
        },
        "scores": {
          "a": 70,
          "b": 50
        }
      },
      {
        "by": 20,
        "category": "maintenance",
        "leads": "gemini-4-hydrogen",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Dated changelog entry on 28 October 2026, adding five models to the Dedicated catalogue and documenting image inputs in tool messages and new reasoning controls (30). Seven dated changelog entries in the 90 days from 3 August, on 28 and 31 August, two on 3 September, 22 September, 9 October and 28 October (20). Support responsiveness not established (0). Official Python and TypeScript SDKs, both last released as 1.91.0 on 8 July 2026 (15). Runtime dependency health and CI were not audited (0).",
          "b": "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."
        },
        "scores": {
          "a": 65,
          "b": 85
        }
      },
      {
        "by": 12,
        "category": "transparency",
        "leads": "gemini-4-hydrogen",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "SDK is Apache-2.0, but the hosted cloud terms were not readable in this session (5 of 30). Privacy policy states no inference input/output retention but gives no fixed operational-log retention period (20 of 30). Dated deprecations and API-version migration guidance without a general minimum notice commitment found (10 of 20). Trust centre lists subprocessors and infrastructure controls, but full data-location details were not established (10 of 20).",
          "b": "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."
        },
        "scores": {
          "a": 60,
          "b": 72
        }
      },
      {
        "by": 10,
        "category": "payments",
        "leads": "gemini-4-hydrogen",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "No machine payment protocol found in the reviewed API and billing docs (0). Public token prices (20). The $5 trial requires a verified payment method (0). Account creation and payment setup require a person (0). Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30.",
          "b": "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."
        },
        "scores": {
          "a": 30,
          "b": 40
        }
      },
      {
        "by": 8,
        "category": "schema",
        "leads": "cerebras-inference",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Public OpenAPI 3.1 (25), llms.txt and Markdown pages (10), documented capability and compatibility limits (16 of 20), typed inputs and constrained parameters (13 of 15), examples and error guidance (14 of 15), and API versions plus dated changelog (15).",
          "b": "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. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Hydrogen takes, every parameter that's ignored or returns 400, the thought-signature rules and how to migrate from Gemini 3.8 Flash, though it doesn't document forced calls (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85."
        },
        "scores": {
          "a": 93,
          "b": 85
        }
      }
    ],
    "facts": [
      {
        "a": "HTTP API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Cerebras Systems Inc.",
        "b": "Google",
        "name": "Vendor"
      },
      {
        "a": "https://api.cerebras.ai/v1",
        "b": "https://generativelanguage.googleapis.com/v1beta",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Paid",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
        "b": "Closed model, used through the Gemini API and Google's apps under Google's terms",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-28",
        "b": "2026-11-12",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-04-28",
        "name": "Terms last updated"
      },
      {
        "a": "2024-08-27",
        "b": "2026-10-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "170 stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Cerebras Inference scores 69.9 (B) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 3 of 7 scored categories. Gemini 4 Hydrogen leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Cerebras Inference or Gemini 4 Hydrogen?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Cerebras Inference and Gemini 4 Hydrogen need an API key?"
      },
      {
        "answer": "Yes. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1 and Gemini 4 Hydrogen at https://generativelanguage.googleapis.com/v1beta.",
        "question": "Can an agent call Cerebras Inference and Gemini 4 Hydrogen without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 45",
          "Schema \u0026 documentation, 93 against 85",
          "Security \u0026 auth, 70 against 50"
        ],
        "also": null,
        "goodFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.",
        "slug": "cerebras-inference",
        "watchFor": "Trial access requires a verified payment method and ends after $5 or 30 days"
      },
      {
        "aheadOn": [
          "Agent ergonomics, 90 against 85",
          "Payments \u0026 pricing, 40 against 30",
          "Maintenance \u0026 community, 85 against 65",
          "Transparency \u0026 trust, 72 against 60"
        ],
        "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"
      }
    ],
    "history": {
      "cerebras-inference": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.3,
          "from": 68.6,
          "fromGrade": "B",
          "to": 69.9,
          "toGrade": "B"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.2,
          "from": 68.4,
          "fromGrade": "B",
          "to": 68.6,
          "toGrade": "B"
        }
      ],
      "gemini-4-hydrogen": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cerebras-inference.json",
        "title": "Amazon Bedrock vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cerebras-inference"
      },
      {
        "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/anthropic-api-vs-cerebras-inference.json",
        "title": "Claude API vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference"
      },
      {
        "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/antseed-vs-cerebras-inference.json",
        "title": "Antseed vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference"
      },
      {
        "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/azure-openai-vs-cerebras-inference.json",
        "title": "Azure OpenAI in Foundry Models vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cerebras-inference"
      },
      {
        "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/blockrun-ai-vs-cerebras-inference.json",
        "title": "BlockRun.AI vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference"
      },
      {
        "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/cerebras-inference-vs-claude-fable-5-2.json",
        "title": "Cerebras Inference vs Claude Fable 5.2",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-fable-5-2"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-mythos-5-2.json",
        "title": "Cerebras Inference vs Claude Mythos 5.2",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-mythos-5-2"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.json",
        "title": "Cerebras Inference vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json",
        "title": "Cerebras Inference vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.json",
        "title": "Cerebras Inference vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.json",
        "title": "Cerebras Inference vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api.json",
        "title": "Cerebras Inference vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-eden-ai.json",
        "title": "Cerebras Inference vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.json",
        "title": "Cerebras Inference vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference.json",
        "title": "Cerebras Inference vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-carbon.json",
        "title": "Cerebras Inference vs Gemini 4 Carbon",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-carbon"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api.json",
        "title": "Cerebras Inference vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq.json",
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        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq"
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      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-hugging-face-inference-providers.json",
        "title": "Cerebras Inference vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-hy4.json",
        "title": "Cerebras Inference vs Tencent Hy4",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-hy4"
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        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.json",
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        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3"
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        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.json",
        "title": "Cerebras Inference vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api"
      },
      {
        "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/cerebras-inference-vs-mistral-api.json",
        "title": "Cerebras Inference vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api"
      },
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        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember.json",
        "title": "Cerebras Inference vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.json",
        "title": "Cerebras Inference vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.json",
        "title": "Cerebras Inference vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.json",
        "title": "Cerebras Inference vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai"
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    "panel": null,
    "scores": [
      {
        "by": 25,
        "cerebras-inference": 70,
        "edge": "cerebras-inference",
        "gemini-4-hydrogen": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "cerebras-inference": 93,
        "edge": "cerebras-inference",
        "gemini-4-hydrogen": 85,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 5,
        "cerebras-inference": 85,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 90,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 20,
        "cerebras-inference": 70,
        "edge": "cerebras-inference",
        "gemini-4-hydrogen": 50,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 10,
        "cerebras-inference": 30,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 20,
        "cerebras-inference": 65,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 85,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 12,
        "cerebras-inference": 60,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Cerebras Inference scores 69.9 (B) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 3 of 7 scored categories. Gemini 4 Hydrogen leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "cerebras-inference": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.",
      "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."
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  "markdown": "Cerebras Inference scores 69.9 (B) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 3 of 7 scored categories. Gemini 4 Hydrogen leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.\n\n- Cerebras Inference: grade B, 69.9/100, rank #305 of 1524. Markdown https://www.anchorterminal.com/tools/cerebras-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json\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- 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### Cerebras Inference (B)\n\nGood for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.\n\nAhead on:\n- Reliability, 70 against 45\n- Schema \u0026 documentation, 93 against 85\n- Security \u0026 auth, 70 against 50\n\nWatch for: Trial access requires a verified payment method and ends after $5 or 30 days\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 85\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 85 against 65\n- Transparency \u0026 trust, 72 against 60\n\nWatch for: temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400\n\n\n## Why the edge\n\n### Reliability: Cerebras Inference +25\n\n- Cerebras Inference (70): Graded as listed, on the hosted API lines. Public component status history at status.cerebras.ai, with components for GPT-OSS-120B, Qwen-3.8-27b and the Developer Console (20). The history feed, read on 1 November 2026, runs back to November 2025, so the whole 90 days from 3 August were read. On 25 September 2026 Cerebras posted that parts of the service might be unavailable from 10:54 UTC, services were back at 13:41 UTC and the incident was resolved at 17:14 UTC, marked major and affecting both public model components. That is about 2 hours 47 minutes with the whole shared catalogue affected, one major. A 15-minute partial degradation of Gemma 4 31B on 27 August is minor, and the 30 August firewall maintenance was announced on 25 August (10). Numeric rate-limit tables, although the trial request limit is 5 a minute on the rate-limits page and 30 a minute on the GPT OSS page, re-read on 1 November (15). SDK error classes and bounded retries with backoff (15). No public shared-inference SLA established (0). Shared inference is generally available (10).\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\n### Security \u0026 auth: Cerebras Inference +20\n\n- Cerebras Inference (70): Revocable Bearer keys with rotation instructions (20). Paid-project boundaries, but no inference-only key permission found (10 of 20). GPT OSS documentation warns about undeclared tool calls and tells callers to validate them (10 of 15). Request and audit logs in the console (15). Trust centre lists SOC 2 Type II, with reports requiring access (15 of 20).\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\n### Maintenance \u0026 community: Gemini 4 Hydrogen +20\n\n- Cerebras Inference (65): Dated changelog entry on 28 October 2026, adding five models to the Dedicated catalogue and documenting image inputs in tool messages and new reasoning controls (30). Seven dated changelog entries in the 90 days from 3 August, on 28 and 31 August, two on 3 September, 22 September, 9 October and 28 October (20). Support responsiveness not established (0). Official Python and TypeScript SDKs, both last released as 1.91.0 on 8 July 2026 (15). Runtime dependency health and CI were not audited (0).\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\n### Transparency \u0026 trust: Gemini 4 Hydrogen +12\n\n- Cerebras Inference (60): SDK is Apache-2.0, but the hosted cloud terms were not readable in this session (5 of 30). Privacy policy states no inference input/output retention but gives no fixed operational-log retention period (20 of 30). Dated deprecations and API-version migration guidance without a general minimum notice commitment found (10 of 20). Trust centre lists subprocessors and infrastructure controls, but full data-location details were not established (10 of 20).\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\n### Payments \u0026 pricing: Gemini 4 Hydrogen +10\n\n- Cerebras Inference (30): No machine payment protocol found in the reviewed API and billing docs (0). Public token prices (20). The $5 trial requires a verified payment method (0). Account creation and payment setup require a person (0). Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30.\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\n### Schema \u0026 documentation: Cerebras Inference +8\n\n- Cerebras Inference (93): Public OpenAPI 3.1 (25), llms.txt and Markdown pages (10), documented capability and compatibility limits (16 of 20), typed inputs and constrained parameters (13 of 15), examples and error guidance (14 of 15), and API versions plus dated changelog (15).\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. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Hydrogen takes, every parameter that's ignored or returns 400, the thought-signature rules and how to migrate from Gemini 3.8 Flash, though it doesn't document forced calls (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.\n\n## Score by category\n\n| Category | Weight | Cerebras Inference | Gemini 4 Hydrogen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 45 | Cerebras Inference +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 85 | Cerebras Inference +8 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 90 | Gemini 4 Hydrogen +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 50 | Cerebras Inference +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | 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) | 65 | 85 | Gemini 4 Hydrogen +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 72 | Gemini 4 Hydrogen +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.9 · B** | **64.9 · B** | |\n\n## Facts side by side\n\n| Fact | Cerebras Inference | Gemini 4 Hydrogen |\n| --- | --- | --- |\n| Kind | HTTP API | Model API |\n| Vendor | Cerebras Systems Inc. | Google |\n| Hosted endpoint | `https://api.cerebras.ai/v1` | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | HTTP |  |\n| Auth | API key | API key |\n| Pricing | Paid | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Closed model, used through the Gemini API and Google's apps under Google's terms |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-28 | 2026-11-12 |\n| Terms last updated | couldn't be read | 2026-04-28 |\n| Privacy policy last updated | 2024-08-27 | 2026-10-01 |\n| Customer content may train models | couldn't be read | yes |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 170 stars | none |\n| Agent reviews | 3.3/5 (4) | none |\n\n## How the scores have moved\n\n### Cerebras Inference\n\n- +1.3 on 13 November 2026: checklist\n- +0.2 on 27 October 2026: checklist\n\n### Gemini 4 Hydrogen\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Cerebras Inference.** An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.\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## Before you call either\n\n### Cerebras Inference\n\n1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.\n2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.\n3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.\n4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated.\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## Questions\n\n### Which is better for AI agents, Cerebras Inference or Gemini 4 Hydrogen?\n\nCerebras Inference scores 69.9 (B) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 3 of 7 scored categories. Gemini 4 Hydrogen leads on agent ergonomics, payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.\n\n### Do Cerebras Inference and Gemini 4 Hydrogen need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cerebras Inference and Gemini 4 Hydrogen without installing anything?\n\nYes. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1 and Gemini 4 Hydrogen at https://generativelanguage.googleapis.com/v1beta.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cerebras-inference\", \"b\": \"gemini-4-hydrogen\"}`. From a terminal: `anchor compare cerebras-inference gemini-4-hydrogen`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json and https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json\n\n## Other comparisons with Cerebras Inference or Gemini 4 Hydrogen\n\n- [Amazon Bedrock vs Cerebras Inference](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cerebras-inference.md)\n- [Amazon Bedrock vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.md)\n- [Claude API vs Cerebras Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.md)\n- [Claude API vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.md)\n- [Antseed vs Cerebras Inference](https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference.md)\n- [Antseed vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.md)\n- 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    "title": "Cerebras Inference vs Gemini 4 Hydrogen for AI agents (2026)",
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