{
  "data": {
    "a": {
      "slug": "blockrun-ai",
      "name": "BlockRun.AI",
      "vendor": "BlockRun, Inc.",
      "vendorUrl": "https://blockrun.ai",
      "kind": "mcp",
      "category": "inference",
      "summary": "Model and API gateway with an OpenAI-compatible interface, MCP support and per-request stablecoin payments through x402.",
      "url": "https://www.anchorterminal.com/tools/blockrun-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json",
      "dns": "blockrun-ai.grade.anchorterminal.com",
      "repo": "https://github.com/BlockRunAI/blockrun-llm",
      "license": "MIT",
      "transports": [
        "stdio"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "blockrun-llm"
        },
        {
          "registry": "npm",
          "name": "@blockrun/llm"
        },
        {
          "registry": "npm",
          "name": "@blockrun/mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Either an API key backed by prepaid card credit (user.blockrun.ai) or a non-custodial wallet signing x402 USDC payments (Base mainnet at https://blockrun.ai/api, Solana at https://sol.blockrun.ai/api, testnets available).",
      "pricing": "usage",
      "pricingNotes": "Per-token LLM pricing by model, billed at zero platform margin since 2026-08-08, plus a flat $0.001 network fee per wallet call on Base (the account rail and the Solana gateway charge no fee). Pay-per-call GPT-6 quotes scale the output share with reasoning effort since 2026-10-10. Web search $0.08 flat per call since 2026-09-29; images, video and data endpoints priced per call; seven free models per the site's menu on 1 November. Decisions is free with an API key on api.blockrun.ai and isn't sold over x402. Failed calls (400, 402, 429, 5xx) aren't charged. x402 in USDC on Base, Solana or Arc (https://blockrun.ai/docs/resources/changelog; https://blockrun.ai/docs/api-reference/errors; https://github.com/BlockRunAI/blockrun-mcp).",
      "priceSummary": "Pay per use",
      "where": "local",
      "x402": {
        "level": "yes",
        "evidence": "Core business model: x402 v2 micropayments in USDC (ERC-20 on Base mainnet, SPL on Solana) per request; the '~$0.002/call' figure could NOT be verified for LLM inference, which is per-token; $0.002 appears only for trading-market/stock data endpoints (https://github.com/BlockRunAI/blockrun-llm; https://github.com/BlockRunAI/awesome-blockrun)",
        "endpoints": [
          {
            "url": "https://blockrun.ai/api/v1/chat/completions",
            "priceUsd": null,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 19,
      "popularity": {
        "githubStars": 5,
        "npmWeekly": null,
        "pypiWeekly": 679,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://github.com/BlockRunAI/awesome-blockrun",
      "llmsTxt": "https://blockrun.ai/llms.txt",
      "openapi": "https://blockrun.ai/api/openapi",
      "registryName": "io.github.BlockRunAI/blockrun-mcp",
      "capabilities": [
        "inference.llm",
        "web.search",
        "market.crypto"
      ],
      "tags": [
        "hosted",
        "x402",
        "inference",
        "openai-compatible"
      ],
      "lastRelease": "2026-10-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 78.9,
        "grade": "A",
        "agentReady": true,
        "rank": 41,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 7,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 88,
          "maintenance": 85,
          "payments": 100,
          "reliability": 65,
          "schema": 90,
          "security": 61,
          "transparency": 73
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": 0,
        "verdict": "x402 v2 on its own gateway lets an agent create a wallet and pay per call in USDC on Base, Solana or Arc with no sign-up, and every MCP tool carries a safety annotation. Since 21 October 2026 prompts sent through the Base and Arc gateways are stored with no fixed expiry, and the status page keeps no incident history.",
        "bestFor": "Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.",
        "strengths": [
          "x402 v2 on its own gateway, USDC on Base, Solana and Arc, with no account needed",
          "Every one of the 19 MCP tools carries readOnlyHint or destructiveHint, trades need `confirm:true`, and a read-only Polymarket tool is separate",
          "`--profile` cuts the tool definitions from 14,416 tokens to as few as 2,155",
          "400, 402, 429 and 5xx responses aren't charged, and payment settles only after a successful upstream response",
          "40 registry releases between 3 August and 28 October 2026, with a detailed changelog"
        ],
        "weaknesses": [
          "Since 21 October 2026 prompts and completions sent through the Base, Arc and API gateways are stored with no fixed expiry",
          "The status page shows live checks only and keeps no incident history, and the terms commit to no uptime",
          "Models are removed on the day, with no notice period, and the terms let providers withdraw a model at any time",
          "No subprocessor list, data locations or prompt-injection guidance",
          "The wallet key controls the whole balance and sits in a local file or environment variable"
        ],
        "agentNotes": [
          "Fund a dedicated wallet with a small USDC balance. The balance is the spending cap",
          "Use the Solana gateway when prompts must not be stored. Base and Arc keep request content with no fixed expiry",
          "Start the server with `--profile` for the job (chat, research, media or trading) to cut the tool definitions",
          "Set `BLOCKRUN_CONFIRM_SPEND=on` to approve each paid call. It's off by default",
          "Call `blockrun_models` before hard-coding a model name, since models are removed without notice"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "A",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 78.9
          }
        ],
        "editorialScores": {
          "ergonomics": 88,
          "maintenance": 85,
          "payments": 100,
          "reliability": 65,
          "schema": 90,
          "security": 61,
          "transparency": 63
        },
        "provenanceScore": 82,
        "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": "2026-11-01",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "claudeCode": "claude mcp add blockrun -- npx -y @blockrun/mcp",
        "config": {
          "mcpServers": {
            "blockrun": {
              "args": [
                "-y",
                "@blockrun/mcp"
              ],
              "command": "npx",
              "env": {
                "BLOCKRUN_WALLET_KEY": "${BLOCKRUN_WALLET_KEY}"
              }
            }
          }
        },
        "x402": "curl -s -i https://blockrun.ai/api/v1/chat/completions -H 'content-type: application/json' -d '{\"model\":\"\u003cmodel\u003e\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}'\n# 402 Payment Required -\u003e PAYMENT-REQUIRED header -\u003e retry with PAYMENT-SIGNATURE"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/blockrun-ai"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "BlockRun, Inc.",
        "domain": "blockrun.ai",
        "domainRegistered": "2025-10-06",
        "domainNote": "The terms and privacy policy, both updated 2026-10-21, name BlockRun, Inc., a Delaware corporation, as contracting party and data controller. No founders or street address are published. The domain was registered on 2025-10-06. The status page is self-hosted and keeps no incident history. security.txt, read on 1 November 2026, has an email contact, a policy link and an Expires date of 2027-11-01.",
        "endpointOnVendorDomain": null,
        "terms": "https://blockrun.ai/terms",
        "privacy": "https://blockrun.ai/privacy",
        "statusPage": "https://blockrun.ai/status",
        "changelog": "https://blockrun.ai/docs/resources/changelog",
        "securityTxt": "valid",
        "checked": "2026-11-01",
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/blockrun-ai.json",
      "live": {
        "slug": "blockrun-ai",
        "vendorStatus": {
          "page": "https://blockrun.ai/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-11-13T23:53:51.345249038Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "BlockRunAI/blockrun-llm",
            "version": "v1.22.0",
            "released": "2026-11-12",
            "seenAt": "2026-11-13T08:20:29.338994735Z"
          },
          {
            "registry": "mcp-registry",
            "name": "io.github.BlockRunAI/blockrun-mcp",
            "version": "0.55.10",
            "seenAt": "2026-11-13T20:30:05.021626978Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/llm",
            "version": "4.1.0",
            "seenAt": "2026-11-13T08:20:27.12676796Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/mcp",
            "version": "0.55.10",
            "seenAt": "2026-11-13T08:20:27.577929058Z"
          },
          {
            "registry": "pypi",
            "name": "blockrun-llm",
            "version": "1.22.0",
            "released": "2026-11-12",
            "seenAt": "2026-11-13T08:20:27.005777469Z"
          }
        ],
        "githubStars": 5,
        "npmWeekly": 2743,
        "pypiWeekly": 985,
        "securityTxt": {
          "url": "https://blockrun.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-11-13T16:15:52.999Z",
          "checkedAt": "2026-11-13T16:15:52.851634856Z"
        },
        "llmsTxt": {
          "url": "https://blockrun.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:53:28.678667527Z"
        },
        "domain": {
          "domain": "blockrun.ai",
          "registered": "2025-10-06",
          "source": "https://rdap.identitydigital.services/rdap/domain/blockrun.ai",
          "checkedAt": "2026-11-08T14:54:48.49082521Z"
        },
        "pages": [
          {
            "url": "https://blockrun.ai/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-01T13:11:21.906696649Z",
            "changedAt": "2026-09-30T13:09:43.712367412Z",
            "fingerprint": "658ca7fbc8ce"
          },
          {
            "url": "https://blockrun.ai/docs/resources/changelog",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-13T18:10:16.286727456Z",
            "changedAt": "2026-11-12T17:30:14.814719522Z",
            "fingerprint": "76ac30ea812c"
          },
          {
            "url": "https://blockrun.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-13T18:10:19.052932204Z",
            "changedAt": "2026-11-12T17:30:17.302877744Z",
            "fingerprint": "3cecf2709a8f"
          },
          {
            "url": "https://blockrun.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-13T18:10:20.529371166Z",
            "changedAt": "2026-11-12T17:30:19.073574803Z",
            "fingerprint": "6e5510716a8a"
          }
        ],
        "github": {
          "repo": "blockrunai/blockrun-llm",
          "checkedAt": "2026-11-09T10:11:42.888791337Z",
          "stars": 5,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-11-09T04:36:48Z",
          "openIssues": 1,
          "openPRs": 0,
          "issuesOpened90d": 3,
          "issuesClosed90d": 2,
          "prsMerged90d": 51,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 48,
            "failure": 2,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-11-08T15:01:32Z"
          },
          "replies": {
            "sampled": 6,
            "unanswered": 0,
            "medianDays": 0.4
          }
        },
        "updatedAt": "2026-11-13T23:53:51.345249038Z"
      }
    },
    "answer": "BlockRun.AI scores 78.9 (A) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 5 of 7 scored categories.",
    "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": [
        "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
      }
    },
    "edges": [
      {
        "by": 60,
        "category": "payments",
        "leads": "blockrun-ai",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "x402 v2 on its own gateway, USDC on Base and Solana, and since MCP 0.55.0 (28 October) on Circle's Arc through arc.blockrun.ai (40). Per-token prices per model published without a login, plus a flat $0.001 fee per wallet call on Base (20). Seven free models per the status page's menu, no card or sign-up, and a wallet costs nothing to create (20). An agent can create its own wallet and pay per request with no human sign-up (20). 40 + 20 + 20 + 20 = 100. Re-scored on 13 November 2026 for the new payments rubric: the protocol's 40 of 40 is 10 of 10, and the other lines' 60 is 90 at 30 each, so 100 is 100.",
          "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": 100,
          "b": 40
        }
      },
      {
        "by": 20,
        "category": "reliability",
        "leads": "blockrun-ai",
        "name": "Reliability",
        "reasons": {
          "a": "Read with the local-software lines, as the listing's kind is `mcp` and the owner runs the server over stdio, though every paid call lands on BlockRun's gateway (the reading assymetrix-mcp and copilot-studio-mcp get). The 1 October check read it as a router. Installs from the official npm package `@blockrun/mcp` with Node 20.19 or later stated in `engines` (20). The CI workflow runs typecheck, build and tests on Node 20.19 and 22 on every push and pull request, with a required gate job. Run results weren't readable, as GitHub's pages answered 403 (20 of 25). Open issues couldn't be read. The changelog names numbered reports fixed in releases, such as #176 and #177 in 0.54.3 and 0.54.4 (10 of 25). Semver numbering with breaking changes marked BREAKING in CHANGELOG.md and shipped as minor bumps, as its own entries say (15). Version 0.55.0, pre-1.0 (0). 20 + 20 + 10 + 15 + 0 = 65. For the gateway behind it, blockrun.ai/status still shows live checks of the Base and Solana gateways and says \"None recorded on this page yet\" under incident history, the terms still say \"We do not commit to any particular uptime\", and free models are limited to 30 requests a minute and 300 an hour per IP with 429s carrying Retry-After.",
          "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": 65,
          "b": 45
        }
      },
      {
        "by": 11,
        "category": "security",
        "leads": "blockrun-ai",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "MCP and API reading. The credential is a wallet private key, auto-created at `~/.blockrun/.session` or passed in an environment variable and optionally mirrored to the OS keychain, and it controls the whole balance. `blockrun_wallet` can delegate a capped budget to a child agent, and an API-key route backed by account credit exists (20 of 30, as on 1 October). `blockrun_polymarket_read` gives read-only positions and previews apart from the trading tool, trades need `confirm:true` with a $25 default order cap, `--profile` drops whole groups of tools, and `BLOCKRUN_CONFIRM_SPEND=on` pauses every paid call for approval, though it's off by default (16 of 20). Search, Exa, market and RPC tools return third-party content, and no prompt-injection guidance was found in the README or docs read (5, as knock and suprsend). Every payment settles on-chain and the wallet tool reports balances and spending (10 of 15). security.txt is valid on 1 November, with an email contact, a policy link and an Expires date of 1 November 2027, and SECURITY.md takes private GitHub reports with a 72-hour acknowledgement and a 7-day plan for fund-affecting issues. No bounty or certification found (10). 20 + 16 + 5 + 10 + 10 = 61.",
          "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": 61,
          "b": 50
        }
      },
      {
        "by": 5,
        "category": "schema",
        "leads": "blockrun-ai",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "MCP reading. All 19 tools take zod input schemas, which the MCP SDK turns into JSON Schema, per the 1 October read of the source (25, was 10 for the gateway's OpenAPI document, which robots.txt still keeps our reader out of under /api/). llms.txt served at blockrun.ai/llms.txt (10). The tool descriptions state purpose and order of use, such as 'discover markets ... with blockrun_markets first' and 'Run action:\"setup\" FIRST', per the 1 October check (15 of 20). Enums and numeric bounds, but seven fields across six tools take a free-form `z.any()` JSON body, per the 1 October check (10 of 15). The docs have an error reference with codes per status and recovery steps, and the README has examples for each client (15). A dated gateway changelog, last entry 25 October 2026, and a CHANGELOG.md in the MCP repository through 0.55.0 (15). 25 + 10 + 15 + 10 + 15 + 15 = 90.",
          "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": 90,
          "b": 85
        }
      }
    ],
    "facts": [
      {
        "a": "MCP server",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "BlockRun, Inc.",
        "b": "Google",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://generativelanguage.googleapis.com/v1beta",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "Closed model, used through the Gemini API and Google's apps under Google's terms",
        "name": "Licence"
      },
      {
        "a": "19",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "io.github.BlockRunAI/blockrun-mcp",
        "b": "not listed",
        "name": "MCP registry"
      },
      {
        "a": "2026-10-28",
        "b": "2026-11-12",
        "name": "Last release"
      },
      {
        "a": "2026-09-02",
        "b": "2026-04-28",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-02",
        "b": "2026-10-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "5 stars, 679 PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "BlockRun.AI scores 78.9 (A) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, BlockRun.AI or Gemini 4 Hydrogen?"
      },
      {
        "answer": "BlockRun.AI takes an API key or an OAuth sign-in. Gemini 4 Hydrogen needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.",
        "question": "Do BlockRun.AI and Gemini 4 Hydrogen need an API key?"
      },
      {
        "answer": "BlockRun.AI runs on your own machine, with no hosted endpoint listed. Gemini 4 Hydrogen has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta.",
        "question": "Can an agent call BlockRun.AI and Gemini 4 Hydrogen without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 45",
          "Schema \u0026 documentation, 90 against 85",
          "Security \u0026 auth, 61 against 50",
          "Payments \u0026 pricing, 100 against 40"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "An agent can pay per call over x402, with no account",
          "Runs on your own machine"
        ],
        "goodFor": "Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.",
        "slug": "blockrun-ai",
        "watchFor": "Since 21 October 2026 prompts and completions sent through the Base, Arc and API gateways are stored with no fixed expiry"
      },
      {
        "aheadOn": null,
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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": {
      "blockrun-ai": [
        {
          "causes": [
            "terms",
            "correction"
          ],
          "date": "2026-11-01",
          "delta": 6.4,
          "from": 72.5,
          "fromGrade": "BB",
          "to": 78.9,
          "toGrade": "A"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-28",
          "delta": 0.1,
          "from": 72.4,
          "fromGrade": "BB",
          "to": 72.5,
          "toGrade": "BB"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-08",
          "delta": -0.1,
          "from": 72.5,
          "fromGrade": "BB",
          "to": 72.4,
          "toGrade": "BB"
        }
      ],
      "gemini-4-hydrogen": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-blockrun-ai.json",
        "title": "Amazon Bedrock vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-blockrun-ai"
      },
      {
        "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-blockrun-ai.json",
        "title": "Claude API vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai"
      },
      {
        "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-blockrun-ai.json",
        "title": "Antseed vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai"
      },
      {
        "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-blockrun-ai.json",
        "title": "Azure OpenAI in Foundry Models vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-blockrun-ai"
      },
      {
        "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-claude-fable-5-2.json",
        "title": "BlockRun.AI vs Claude Fable 5.2",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-fable-5-2"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2.json",
        "title": "BlockRun.AI vs Claude Mythos 5.2",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway.json",
        "title": "BlockRun.AI vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.json",
        "title": "BlockRun.AI vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.json",
        "title": "BlockRun.AI vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.json",
        "title": "BlockRun.AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.json",
        "title": "BlockRun.AI vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai.json",
        "title": "BlockRun.AI vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.json",
        "title": "BlockRun.AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference.json",
        "title": "BlockRun.AI vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon.json",
        "title": "BlockRun.AI vs Gemini 4 Carbon",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.json",
        "title": "BlockRun.AI vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.json",
        "title": "BlockRun.AI vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-hugging-face-inference-providers.json",
        "title": "BlockRun.AI vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-hy4.json",
        "title": "BlockRun.AI vs Tencent Hy4",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-hy4"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.json",
        "title": "BlockRun.AI vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.json",
        "title": "BlockRun.AI vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api"
      },
      {
        "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/blockrun-ai-vs-mistral-api.json",
        "title": "BlockRun.AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember.json",
        "title": "BlockRun.AI vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.json",
        "title": "BlockRun.AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.json",
        "title": "BlockRun.AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.json",
        "title": "BlockRun.AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.json",
        "title": "BlockRun.AI vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.json",
        "title": "BlockRun.AI vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json",
        "title": "BlockRun.AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router.json",
        "title": "BlockRun.AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.json",
        "title": "BlockRun.AI vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus.json",
        "title": "BlockRun.AI vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.json",
        "title": "BlockRun.AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.json",
        "title": "BlockRun.AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart.json",
        "title": "BlockRun.AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen"
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        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen"
      },
      {
        "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"
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      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3"
      },
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api"
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        "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",
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      },
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai"
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        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference"
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        "title": "Gemini 4 Hydrogen vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router"
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        "json": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart"
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub"
      },
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        "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"
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    ],
    "panel": null,
    "scores": [
      {
        "blockrun-ai": 65,
        "by": 20,
        "edge": "blockrun-ai",
        "gemini-4-hydrogen": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "blockrun-ai": 90,
        "by": 5,
        "edge": "blockrun-ai",
        "gemini-4-hydrogen": 85,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "blockrun-ai": 88,
        "by": 2,
        "edge": "gemini-4-hydrogen",
        "gemini-4-hydrogen": 90,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "blockrun-ai": 61,
        "by": 11,
        "edge": "blockrun-ai",
        "gemini-4-hydrogen": 50,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "blockrun-ai": 100,
        "by": 60,
        "edge": "blockrun-ai",
        "gemini-4-hydrogen": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "blockrun-ai": 85,
        "by": 0,
        "edge": "",
        "gemini-4-hydrogen": 85,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "blockrun-ai": 73,
        "by": 1,
        "edge": "blockrun-ai",
        "gemini-4-hydrogen": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "BlockRun.AI scores 78.9 (A) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 5 of 7 scored categories. Both do llm inference. BlockRun.AI accepts x402. Gemini 4 Hydrogen doesn't.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "blockrun-ai": "x402 v2 on its own gateway lets an agent create a wallet and pay per call in USDC on Base, Solana or Arc with no sign-up, and every MCP tool carries a safety annotation. Since 21 October 2026 prompts sent through the Base and Arc gateways are stored with no fixed expiry, and the status page keeps no incident history.",
      "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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  "links": {
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  "markdown": "BlockRun.AI scores 78.9 (A) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 5 of 7 scored categories. Both do llm inference. BlockRun.AI accepts x402. Gemini 4 Hydrogen doesn't.\n\n- BlockRun.AI: grade A, 78.9/100, rank #41 of 1524. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.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### BlockRun.AI (A)\n\nGood for: Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.\n\nAhead on:\n- Reliability, 65 against 45\n- Schema \u0026 documentation, 90 against 85\n- Security \u0026 auth, 61 against 50\n- Payments \u0026 pricing, 100 against 40\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- An agent can pay per call over x402, with no account\n- Runs on your own machine\n\nWatch for: Since 21 October 2026 prompts and completions sent through the Base, Arc and API gateways are stored with no fixed expiry\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\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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### Payments \u0026 pricing: BlockRun.AI +60\n\n- BlockRun.AI (100): x402 v2 on its own gateway, USDC on Base and Solana, and since MCP 0.55.0 (28 October) on Circle's Arc through arc.blockrun.ai (40). Per-token prices per model published without a login, plus a flat $0.001 fee per wallet call on Base (20). Seven free models per the status page's menu, no card or sign-up, and a wallet costs nothing to create (20). An agent can create its own wallet and pay per request with no human sign-up (20). 40 + 20 + 20 + 20 = 100. Re-scored on 13 November 2026 for the new payments rubric: the protocol's 40 of 40 is 10 of 10, and the other lines' 60 is 90 at 30 each, so 100 is 100.\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### Reliability: BlockRun.AI +20\n\n- BlockRun.AI (65): Read with the local-software lines, as the listing's kind is `mcp` and the owner runs the server over stdio, though every paid call lands on BlockRun's gateway (the reading assymetrix-mcp and copilot-studio-mcp get). The 1 October check read it as a router. Installs from the official npm package `@blockrun/mcp` with Node 20.19 or later stated in `engines` (20). The CI workflow runs typecheck, build and tests on Node 20.19 and 22 on every push and pull request, with a required gate job. Run results weren't readable, as GitHub's pages answered 403 (20 of 25). Open issues couldn't be read. The changelog names numbered reports fixed in releases, such as #176 and #177 in 0.54.3 and 0.54.4 (10 of 25). Semver numbering with breaking changes marked BREAKING in CHANGELOG.md and shipped as minor bumps, as its own entries say (15). Version 0.55.0, pre-1.0 (0). 20 + 20 + 10 + 15 + 0 = 65. For the gateway behind it, blockrun.ai/status still shows live checks of the Base and Solana gateways and says \"None recorded on this page yet\" under incident history, the terms still say \"We do not commit to any particular uptime\", and free models are limited to 30 requests a minute and 300 an hour per IP with 429s carrying Retry-After.\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: BlockRun.AI +11\n\n- BlockRun.AI (61): MCP and API reading. The credential is a wallet private key, auto-created at `~/.blockrun/.session` or passed in an environment variable and optionally mirrored to the OS keychain, and it controls the whole balance. `blockrun_wallet` can delegate a capped budget to a child agent, and an API-key route backed by account credit exists (20 of 30, as on 1 October). `blockrun_polymarket_read` gives read-only positions and previews apart from the trading tool, trades need `confirm:true` with a $25 default order cap, `--profile` drops whole groups of tools, and `BLOCKRUN_CONFIRM_SPEND=on` pauses every paid call for approval, though it's off by default (16 of 20). Search, Exa, market and RPC tools return third-party content, and no prompt-injection guidance was found in the README or docs read (5, as knock and suprsend). Every payment settles on-chain and the wallet tool reports balances and spending (10 of 15). security.txt is valid on 1 November, with an email contact, a policy link and an Expires date of 1 November 2027, and SECURITY.md takes private GitHub reports with a 72-hour acknowledgement and a 7-day plan for fund-affecting issues. No bounty or certification found (10). 20 + 16 + 5 + 10 + 10 = 61.\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### Schema \u0026 documentation: BlockRun.AI +5\n\n- BlockRun.AI (90): MCP reading. All 19 tools take zod input schemas, which the MCP SDK turns into JSON Schema, per the 1 October read of the source (25, was 10 for the gateway's OpenAPI document, which robots.txt still keeps our reader out of under /api/). llms.txt served at blockrun.ai/llms.txt (10). The tool descriptions state purpose and order of use, such as 'discover markets ... with blockrun_markets first' and 'Run action:\"setup\" FIRST', per the 1 October check (15 of 20). Enums and numeric bounds, but seven fields across six tools take a free-form `z.any()` JSON body, per the 1 October check (10 of 15). The docs have an error reference with codes per status and recovery steps, and the README has examples for each client (15). A dated gateway changelog, last entry 25 October 2026, and a CHANGELOG.md in the MCP repository through 0.55.0 (15). 25 + 10 + 15 + 10 + 15 + 15 = 90.\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 | BlockRun.AI | Gemini 4 Hydrogen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 45 | BlockRun.AI +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 85 | BlockRun.AI +5 |\n| Agent ergonomics | 13% (16.2 this run) | 88 | 90 | Gemini 4 Hydrogen +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 61 | 50 | BlockRun.AI +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 100 | 40 | BlockRun.AI +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 85 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 73 | 72 | BlockRun.AI +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **78.9 · A** | **64.9 · B** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Gemini 4 Hydrogen |\n| --- | --- | --- |\n| Kind | MCP server | Model API |\n| Vendor | BlockRun, Inc. | Google |\n| Hosted endpoint | no (local only) | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | stdio |  |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | yes | no |\n| Licence | MIT | Closed model, used through the Gemini API and Google's apps under Google's terms |\n| Tools exposed | 19 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.BlockRunAI/blockrun-mcp` | not listed |\n| Last release | 2026-10-28 | 2026-11-12 |\n| Terms last updated | 2026-09-02 | 2026-04-28 |\n| Privacy policy last updated | 2026-09-02 | 2026-10-01 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 5 stars, 679 PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## How the scores have moved\n\n### BlockRun.AI\n\n- +6.4 on 1 November 2026 (BB to A): terms, correction\n- +0.1 on 28 October 2026: checklist\n- -0.1 on 8 October 2026: checklist\n\n### Gemini 4 Hydrogen\n\nNo score change since it was listed.\n\n## Verdicts\n\n**BlockRun.AI.** x402 v2 on its own gateway lets an agent create a wallet and pay per call in USDC on Base, Solana or Arc with no sign-up, and every MCP tool carries a safety annotation. Since 21 October 2026 prompts sent through the Base and Arc gateways are stored with no fixed expiry, and the status page keeps no incident history.\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### BlockRun.AI\n\n1. Fund a dedicated wallet with a small USDC balance. The balance is the spending cap\n2. Use the Solana gateway when prompts must not be stored. Base and Arc keep request content with no fixed expiry\n3. Start the server with `--profile` for the job (chat, research, media or trading) to cut the tool definitions\n4. Set `BLOCKRUN_CONFIRM_SPEND=on` to approve each paid call. It's off by default\n5. Call `blockrun_models` before hard-coding a model name, since models are removed without notice\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, BlockRun.AI or Gemini 4 Hydrogen?\n\nBlockRun.AI scores 78.9 (A) on agent readiness against Gemini 4 Hydrogen's 64.9 (B), and leads in 5 of 7 scored categories.\n\n### Do BlockRun.AI and Gemini 4 Hydrogen need an API key?\n\nBlockRun.AI takes an API key or an OAuth sign-in. Gemini 4 Hydrogen needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.\n\n### Can an agent call BlockRun.AI and Gemini 4 Hydrogen without installing anything?\n\nBlockRun.AI runs on your own machine, with no hosted endpoint listed. Gemini 4 Hydrogen has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen.json, and with the fewest tokens: https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-hydrogen.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"blockrun-ai\", \"b\": \"gemini-4-hydrogen\"}`. From a terminal: `anchor compare blockrun-ai gemini-4-hydrogen`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json and https://www.anchorterminal.com/api/v1/tools/gemini-4-hydrogen.json\n\n## Other comparisons with BlockRun.AI or Gemini 4 Hydrogen\n\n- [Amazon Bedrock vs BlockRun.AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-blockrun-ai.md)\n- [Amazon Bedrock vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-hydrogen.md)\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-hydrogen.md)\n- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)\n- [Antseed vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/antseed-vs-gemini-4-hydrogen.md)\n- [Azure OpenAI in Foundry Models vs BlockRun.AI](https://www.anchorterminal.com/compare/azure-openai-vs-blockrun-ai.md)\n- [Azure OpenAI in Foundry Models vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-hydrogen.md)\n- [BlockRun.AI vs Cerebras Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.md)\n- [BlockRun.AI vs Claude Fable 5.2](https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-fable-5-2.md)\n- [BlockRun.AI vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2.md)\n- [BlockRun.AI vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway.md)\n- [BlockRun.AI vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.md)\n- [BlockRun.AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.md)\n- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.md)\n- [BlockRun.AI vs DeepSeek API](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.md)\n- [BlockRun.AI vs Eden AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-eden-ai.md)\n- [BlockRun.AI vs Glimpse](https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.md)\n- [BlockRun.AI vs Fireworks AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference.md)\n- [BlockRun.AI vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon.md)\n- [BlockRun.AI vs Gemini Developer API](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.md)\n- [BlockRun.AI vs GroqCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.md)\n- [BlockRun.AI vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/blockrun-ai-vs-hugging-face-inference-providers.md)\n- [BlockRun.AI vs Tencent Hy4](https://www.anchorterminal.com/compare/blockrun-ai-vs-hy4.md)\n- [BlockRun.AI vs Jais 3](https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [BlockRun.AI vs MiniMax API](https://www.anchorterminal.com/compare/blockrun-ai-vs-minimax-api.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md)\n- [BlockRun.AI vs Muse Ember](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember.md)\n- [BlockRun.AI vs Muse Spark Open](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.md)\n- [BlockRun.AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.md)\n- [BlockRun.AI vs Novita AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.md)\n- [BlockRun.AI vs OpenAI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.md)\n- [BlockRun.AI vs OpenRouter](https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [BlockRun.AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router.md)\n- [BlockRun.AI vs Beam 1.0](https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.md)\n- [BlockRun.AI vs RouterPlus](https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus.md)\n- [BlockRun.AI vs SambaCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.md)\n- [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md)\n- [BlockRun.AI vs Simplismart](https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart.md)\n- [BlockRun.AI vs StepFun API](https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.md)\n- [BlockRun.AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/blockrun-ai-vs-swe-2-flash.md)\n- [BlockRun.AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/blockrun-ai-vs-tencent-tokenhub.md)\n- [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md)\n- [BlockRun.AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.md)\n- [BlockRun.AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/blockrun-ai-vs-vertex-ai.md)\n- [BlockRun.AI vs xAI API (Grok)](https://www.anchorterminal.com/compare/blockrun-ai-vs-xai-api.md)\n- [Cerebras Inference vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-hydrogen.md)\n- [Claude Fable 5.2 vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-hydrogen.md)\n- [Claude Mythos 5.2 vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-hydrogen.md)\n- [Cloudflare AI Gateway vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-hydrogen.md)\n- [Cloudflare Workers AI vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-hydrogen.md)\n- [Cohere Chat API (Command models) vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-hydrogen.md)\n- [DeepInfra vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-hydrogen.md)\n- [DeepSeek API vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-hydrogen.md)\n- [Eden AI vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-hydrogen.md)\n- [Glimpse vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-hydrogen.md)\n- [Fireworks AI Inference vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-hydrogen.md)\n- [Gemini 4 Carbon vs Gemini 4 Hydrogen](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-4-hydrogen.md)\n- [Gemini 4 Hydrogen vs Gemini Developer API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-gemini-api.md)\n- [Gemini 4 Hydrogen vs GroqCloud](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-groq.md)\n- [Gemini 4 Hydrogen vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hugging-face-inference-providers.md)\n- [Gemini 4 Hydrogen vs Tencent Hy4](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4.md)\n- [Gemini 4 Hydrogen vs Jais 3](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-jais-3.md)\n- [Gemini 4 Hydrogen vs Meta Model API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-meta-model-api.md)\n- [Gemini 4 Hydrogen vs MiniMax API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-minimax-api.md)\n- [Gemini 4 Hydrogen vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-mistral-api.md)\n- [Gemini 4 Hydrogen vs Muse Ember](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-ember.md)\n- [Gemini 4 Hydrogen vs Muse Spark Open](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-muse-spark-open.md)\n- [Gemini 4 Hydrogen vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-nemotron-3-5-super-vl.md)\n- [Gemini 4 Hydrogen vs Novita AI](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-novita-ai.md)\n- [Gemini 4 Hydrogen vs OpenAI API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openai-api.md)\n- [Gemini 4 Hydrogen vs OpenRouter](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-openrouter.md)\n- [Gemini 4 Hydrogen vs Prism Inference](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-prism-inference.md)\n- [Gemini 4 Hydrogen vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-ramp-router.md)\n- [Gemini 4 Hydrogen vs Beam 1.0](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-reflection-beam.md)\n- [Gemini 4 Hydrogen vs RouterPlus](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-routerplus.md)\n- [Gemini 4 Hydrogen vs SambaCloud](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-sambanova.md)\n- [Gemini 4 Hydrogen vs SiliconFlow](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-siliconflow.md)\n- [Gemini 4 Hydrogen vs Simplismart](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-simplismart.md)\n- [Gemini 4 Hydrogen vs StepFun API](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-stepfun-api.md)\n- [Gemini 4 Hydrogen vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash.md)\n- [Gemini 4 Hydrogen vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-tencent-tokenhub.md)\n- [Gemini 4 Hydrogen vs Together AI Inference](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-together-inference.md)\n- [Gemini 4 Hydrogen vs Vercel AI Gateway](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vercel-ai-gateway.md)\n- [Gemini 4 Hydrogen vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-vertex-ai.md)\n- [Gemini 4 Hydrogen vs xAI API (Grok)](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-xai-api.md)\n",
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