{
  "data": {
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      "name": "Gemini Developer API",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "inference",
      "summary": "Google's API for Gemini models, including content generation and agent interactions.",
      "url": "https://www.anchorterminal.com/tools/gemini-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-api.json",
      "repo": "https://github.com/googleapis/python-genai",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
      "packages": [
        {
          "registry": "pypi",
          "name": "google-genai"
        },
        {
          "registry": "npm",
          "name": "@google/genai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`x-goog-api-key` header with a key from AI Studio. A Google account is needed to make one.",
      "pricing": "freemium",
      "pricingNotes": "Free tier on 3.8 Flash and Flash-Lite, not on 3.1 Pro preview, and free-tier content is used to improve Google products. 3.1 Pro preview costs $2/$12 per million tokens, $4/$18 over 200K. 3.8 Flash is $0.75/$3.75 until 2026-12-31, then $1.50/$7.50. Cached input 0.1x. Search grounding 5,000 free a month, then $14 per 1,000. Batch half price (https://ai.google.dev/gemini-api/docs/pricing).",
      "priceSummary": "from $0.25 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. The free tier needs a Google account and paid use needs billing on a Cloud project.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 3992,
        "npmWeekly": null,
        "pypiWeekly": null,
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      },
      "docsUrl": "https://ai.google.dev/gemini-api/docs",
      "rateLimitsUrl": "https://ai.google.dev/gemini-api/docs/rate-limits",
      "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "free-tier",
        "no-card",
        "llms-txt"
      ],
      "lastRelease": "2026-09-22",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 65.5,
        "grade": "B",
        "agentReady": false,
        "rank": 287,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 90,
          "maintenance": 83,
          "payments": 40,
          "reliability": 40,
          "schema": 85,
          "security": 60,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-05"
        },
        "negative": 0,
        "verdict": "Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.",
        "bestFor": "Cheap, long-context Flash calls for prototypes, public data and agents that need to start without a card.",
        "strengths": [
          "Free tier on 3.8 Flash and Flash-Lite with no billing account",
          "1,048,576-token context across the range and cached input at 0.1x",
          "Backoff guidance with jitter, and the Python SDK retries transient errors four times",
          "Keys can be restricted to the Gemini API and by IP or origin, and unrestricted keys are rejected from 28 May 2026",
          "A keyless Discovery document types the v1beta GenerateContent surface, and function calling can be forced to named tools"
        ],
        "weaknesses": [
          "Free-tier prompts and responses improve Google products and may be read by human reviewers",
          "Per-model rate limits are only visible inside AI Studio",
          "No SLA and no zero-retention route found for the Developer API",
          "The only Pro model, `gemini-3.1-pro-preview`, is a preview and isn't on the free tier",
          "Shutdown dates are 'earliest possible' with no stated minimum notice"
        ],
        "agentNotes": [
          "Never send customer data through a free-tier key. Link billing first",
          "Don't request Gemini 4 Argon here. It has no Developer API model ID as of 5 October 2026",
          "Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403",
          "Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21",
          "Validate structured output yourself. The docs don't promise schema-constrained decoding"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 65.5
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        ],
        "editorialScores": {
          "ergonomics": 90,
          "maintenance": 83,
          "payments": 40,
          "reliability": 40,
          "schema": 85,
          "security": 60,
          "transparency": 55
        },
        "provenanceScore": 89
      },
      "connect": {
        "install": "pip install google-genai   # or: npm i @google/genai",
        "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash: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-api"
      },
      "sameCompany": [
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "gemini-live",
        "google-adk",
        "google-secret-manager",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-drive-api",
        "gemini-cli",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Search grounding over 5,000 a month",
          "unit": "1k-requests",
          "usd": 14
        }
      ],
      "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": "2026-10-05",
        "score": 89
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-api.json",
      "live": {
        "slug": "gemini-api",
        "probe": {
          "target": "https://generativelanguage.googleapis.com/v1beta",
          "method": "get",
          "lastAt": "2026-10-09T10:42:43.982042968Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 85,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 38,
          "p95ms24h": 95,
          "samples24h": 260,
          "samples30d": 3254,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
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            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
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            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
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            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
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            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
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            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
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            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 114,
              "ok": 114
            }
          ]
        },
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:57:57.75427238Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "googleapis/python-genai",
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            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:12:39.230038656Z"
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            "seenAt": "2026-10-08T16:12:35.192407083Z"
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        "githubStars": 4009,
        "npmWeekly": 29486957,
        "pypiWeekly": 34128301,
        "securityTxt": {
          "url": "https://google.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-04-01T00:00:00z",
          "checkedAt": "2026-10-08T15:38:39.75078566Z"
        },
        "llmsTxt": {
          "url": "https://ai.google.dev/gemini-api/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:27.291085506Z"
        },
        "domain": {
          "domain": "google.com",
          "registered": "1997-09-15",
          "source": "https://rdap.verisign.com/com/v1/domain/google.com",
          "checkedAt": "2026-10-04T13:05:50.737985829Z"
        },
        "pages": [
          {
            "url": "https://ai.google.dev/gemini-api/docs/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:04.076605082Z",
            "changedAt": "2026-10-07T18:02:27.908940742Z",
            "fingerprint": "0b2f147e9ed5"
          },
          {
            "url": "https://ai.google.dev/gemini-api/docs/deprecations",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:07.069647937Z",
            "changedAt": "2026-10-07T18:02:30.562210049Z",
            "fingerprint": "ee339c6798a7"
          },
          {
            "url": "https://ai.google.dev/gemini-api/docs/pricing",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:11.133625846Z",
            "changedAt": "2026-10-07T18:02:32.494012189Z",
            "fingerprint": "ffd22c41e00f"
          },
          {
            "url": "https://ai.google.dev/gemini-api/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:11.515313815Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "95a70f72fb73"
          }
        ],
        "models": {
          "gemini-3.1-flash-lite": {
            "openrouterId": "google/gemini-3.1-flash-lite",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "audio",
              "file",
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 65536,
            "checkedAt": "2026-10-08T22:59:28.345696683Z"
          },
          "gemini-3.1-pro-preview": {
            "openrouterId": "google/gemini-3.1-pro-preview",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "audio",
              "file",
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 65536,
            "checkedAt": "2026-10-08T22:59:28.345696683Z"
          },
          "gemini-3.5-flash-lite": {
            "openrouterId": "google/gemini-3.5-flash-lite",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "audio",
              "file",
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 65536,
            "checkedAt": "2026-10-08T22:59:28.345696683Z"
          },
          "gemini-3.8-flash": {
            "openrouterId": "google/gemini-3.8-flash",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "audio",
              "file",
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 65536,
            "checkedAt": "2026-10-08T22:59:28.345696683Z"
          }
        },
        "updatedAt": "2026-10-09T10:42:43.982042968Z"
      }
    },
    "answer": "SambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "slug": "sambanova",
      "name": "SambaCloud",
      "vendor": "SambaNova Systems, Inc.",
      "vendorUrl": "https://sambanova.ai",
      "kind": "model",
      "category": "inference",
      "summary": "SambaCloud is SambaNova's hosted inference API for open-weight models running on its own RDU processors. It answers OpenAI-style chat, completions and Responses calls and Anthropic-style Messages calls, with Python and TypeScript SDKs.",
      "url": "https://www.anchorterminal.com/tools/sambanova",
      "markdownUrl": "https://www.anchorterminal.com/tools/sambanova.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sambanova.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sambanova.json",
      "repo": "https://github.com/sambanova/sambanova-python",
      "license": "Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.sambanova.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "sambanova"
        },
        {
          "registry": "npm",
          "name": "sambanova"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the SambaCloud console at https://cloud.sambanova.ai/apis after a browser sign-up. The Messages routes also take the same key in `x-api-key`. Up to 25 keys per user, shown once, with no scopes.",
      "pricing": "freemium",
      "pricingNotes": "Free tier with no payment method, at 20 requests a minute, 20 requests a day and 200,000 tokens a day per model. Linking a card moves the account to the Developer tier, billed per token through Stripe, from $0.22 in and $0.59 out per 1M tokens on gpt-oss-120b (https://cloud.sambanova.ai/plans/pricing, checked 2026-10-08).",
      "priceSummary": "from $0.22 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI document or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 2,
        "npmWeekly": 76,
        "pypiWeekly": 6129,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.sambanova.ai/docs/en/get-started/overview",
      "rateLimitsUrl": "https://docs.sambanova.ai/docs/en/models/rate-limits",
      "llmsTxt": "https://docs.sambanova.ai/docs/llms.txt",
      "openapi": "https://raw.githubusercontent.com/sambanova/sambanova-inference-api-spec/refs/heads/main/openapi.documented.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "inference.fast"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "free-tier",
        "no-card",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "python",
        "typescript",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-09-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.4,
        "grade": "B",
        "agentReady": false,
        "rank": 269,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 7,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 67,
          "maintenance": 77,
          "payments": 40,
          "reliability": 85,
          "schema": 81,
          "security": 58,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The models and rate-limit pages list `MiniMax-M2.7` as a production model, and the July 2026 release notes say `Mistral-Large-3-675B-Instruct-2512` was promoted to production. Neither is on the pricing page or in `/v1/models`, and the deprecations page records neither. Two points, since a keyed call was not made to confirm the ids fail (https://docs.sambanova.ai/docs/en/models/sambacloud-models, https://api.sambanova.ai/v1/models)."
        ],
        "verdict": "Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.",
        "bestFor": "Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.",
        "strengths": [
          "Public OpenAPI 3.1.1 document for all 10 operations, plus `llms.txt` and a Markdown copy of every docs page",
          "`GET /v1/models` answers without a key and returns context length, output cap and per-token prices for each model",
          "Free tier with no payment method at 20 requests a minute, 20 requests a day and 200,000 tokens a day per model",
          "One key works with the OpenAI client, the Anthropic client (`/v1/messages`, `x-api-key`) and SambaNova's own SDKs",
          "Status page with a component per model and no incident posted since 25 June 2026"
        ],
        "weaknesses": [
          "Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026",
          "The docs list `MiniMax-M2.7` as a production model, while the pricing page and `/v1/models` did not list it on 8 October 2026",
          "`strict: true` on a JSON schema is accepted and has no effect, and the July 2026 notes record failing structured output on DeepSeek-V3.2",
          "Keys carry no scopes or project limits, and no key rotation guidance was found in the reviewed documentation",
          "The privacy policy is dated 27 May 2023, and no DPA, retention period or sub-processor list was found on the legal page"
        ],
        "agentNotes": [
          "Call `GET https://api.sambanova.ai/v1/models` at start-up and use only ids it returns. The docs name models the endpoint no longer lists",
          "Read `x-ratelimit-remaining-requests` and `x-ratelimit-remaining-requests-day` on every response. The free tier allows 20 requests a day per model",
          "Treat 429 `queue_full` and 503 `maintenance` as retryable after a delay, and 410 `model_deprecated` as a signal to change model",
          "Validate JSON output yourself. Schema enforcement is best effort and `strict: true` changes nothing",
          "Check `max_completion_tokens` per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.4
          }
        ],
        "editorialScores": {
          "ergonomics": 67,
          "maintenance": 77,
          "payments": 40,
          "reliability": 85,
          "schema": 81,
          "security": 58,
          "transparency": 44
        },
        "provenanceScore": 81
      },
      "connect": {
        "install": "pip install sambanova   # or: npm install sambanova",
        "http": "curl https://api.sambanova.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $SAMBANOVA_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"gpt-oss-120b\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/sambanova"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "SambaNova Systems, Inc.",
        "domain": "sambanova.ai",
        "domainRegistered": "2017-12-18",
        "endpointOnVendorDomain": true,
        "terms": "https://sambanova.ai/cloud-end-user-license-agreement",
        "privacy": "https://sambanova.ai/privacy-policy",
        "statusPage": "https://status.sambanova.ai",
        "changelog": "https://docs.sambanova.ai/docs/en/release-notes/sambacloud",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The SambaCloud Terms of Service name SambaNova Systems, Inc., a Delaware corporation at 2460 N. First St, Suite #100, San Jose, CA 95131, and define the Service as the SambaCloud platform. The page carries no date. The legal index says it was last updated on 5 February 2026.",
          "The privacy policy is the company's only one. Its last revision is dated 27 May 2023, it covers the website, communications and related services, and it does not name SambaCloud or API inputs.",
          "No DPA, SLA, acceptable use policy or sub-processor list is linked from https://sambanova.ai/legal-agreements.",
          "https://sambanova.ai/.well-known/security.txt returns 404.",
          "RDAP for sambanova.ai gives a registration date of 2017-12-18.",
          "The API answers at api.sambanova.ai and the console at cloud.sambanova.ai."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/sambanova.json",
      "live": {
        "slug": "sambanova",
        "probe": {
          "target": "https://api.sambanova.ai/v1",
          "method": "get",
          "lastAt": "2026-10-09T10:42:55.457778667Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 480,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 400,
          "p95ms24h": 1118,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.sambanova.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T10:42:02.719899043Z"
        },
        "updatedAt": "2026-10-09T10:42:55.457778667Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Google",
        "b": "SambaNova Systems, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://generativelanguage.googleapis.com/v1beta",
        "b": "https://api.sambanova.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (SDKs)",
        "b": "Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-22",
        "b": "2026-09-17",
        "name": "Last release"
      },
      {
        "a": "2026-04-28",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "2023-05-27",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "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": "4k stars",
        "b": "2 stars, 76 npm/wk, 6.1k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "SambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Gemini Developer API or SambaCloud?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Gemini Developer API and SambaCloud need an API key?"
      },
      {
        "answer": "Yes. Gemini Developer API has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and SambaCloud at https://api.sambanova.ai/v1.",
        "question": "Can an agent call Gemini Developer API and SambaCloud without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 90 against 67",
          "Maintenance \u0026 community, 83 against 77",
          "Transparency \u0026 trust, 72 against 63"
        ],
        "also": null,
        "goodFor": "Cheap, long-context Flash calls for prototypes, public data and agents that need to start without a card.",
        "slug": "gemini-api",
        "watchFor": "Free-tier prompts and responses improve Google products and may be read by human reviewers"
      },
      {
        "aheadOn": [
          "Reliability, 85 against 40"
        ],
        "also": null,
        "goodFor": "Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.",
        "slug": "sambanova",
        "watchFor": "Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026"
      }
    ],
    "job": {
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      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.json",
        "title": "Claude API vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova.json",
        "title": "Claude API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-gemini-api.json",
        "title": "Antseed vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-sambanova.json",
        "title": "Antseed vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-sambanova"
      },
      {
        "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-sambanova.json",
        "title": "BlockRun.AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.json",
        "title": "DeepInfra vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.json",
        "title": "DeepInfra vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-api.json",
        "title": "DeepSeek API vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova.json",
        "title": "DeepSeek API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-groq.json",
        "title": "Gemini Developer API vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.json",
        "title": "Gemini Developer API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-openai-api.json",
        "title": "Gemini Developer API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.json",
        "title": "Gemini Developer API vs OpenRouter",
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      },
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        "title": "Gemini Developer API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-sambanova.json",
        "title": "GroqCloud vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/groq-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-sambanova.json",
        "title": "OpenAI API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-sambanova"
      },
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        "json": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova.json",
        "title": "OpenRouter vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json",
        "title": "Prism Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova"
      }
    ],
    "scores": [
      {
        "by": 45,
        "edge": "sambanova",
        "gemini-api": 40,
        "key": "reliability",
        "name": "Reliability",
        "sambanova": 85,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "edge": "gemini-api",
        "gemini-api": 85,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "sambanova": 81,
        "weight": 13
      },
      {
        "by": 23,
        "edge": "gemini-api",
        "gemini-api": 90,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "sambanova": 67,
        "weight": 13
      },
      {
        "by": 2,
        "edge": "gemini-api",
        "gemini-api": 60,
        "key": "security",
        "name": "Security \u0026 auth",
        "sambanova": 58,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "gemini-api": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "sambanova": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "edge": "gemini-api",
        "gemini-api": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "sambanova": 77,
        "weight": 7
      },
      {
        "by": 9,
        "edge": "gemini-api",
        "gemini-api": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "sambanova": 63,
        "weight": 7
      }
    ],
    "summary": "SambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.",
    "verdicts": {
      "gemini-api": "Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.",
      "sambanova": "Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7."
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    "html": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova",
    "json": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.md",
    "slim": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.min.md"
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  "markdown": "SambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference.\n\n- Gemini Developer API: grade B, 65.5/100, rank #287 of 842. Markdown https://www.anchorterminal.com/tools/gemini-api.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-api.json\n- SambaCloud: grade B, 66.4/100, rank #269 of 842. Markdown https://www.anchorterminal.com/tools/sambanova.md · JSON https://www.anchorterminal.com/api/v1/tools/sambanova.json\n\n## Which one, for what\n\n### Gemini Developer API (B)\n\nGood for: Cheap, long-context Flash calls for prototypes, public data and agents that need to start without a card.\n\nAhead on:\n- Agent ergonomics, 90 against 67\n- Maintenance \u0026 community, 83 against 77\n- Transparency \u0026 trust, 72 against 63\n\nWatch for: Free-tier prompts and responses improve Google products and may be read by human reviewers\n\n### SambaCloud (B)\n\nGood for: Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.\n\nAhead on:\n- Reliability, 85 against 40\n\nWatch for: Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026\n\n\n## Score by category\n\n| Category | Weight | Gemini Developer API | SambaCloud | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 85 | SambaCloud +45 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 81 | Gemini Developer API +4 |\n| Agent ergonomics | 13% (16.2 this run) | 90 | 67 | Gemini Developer API +23 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 58 | Gemini Developer API +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 77 | Gemini Developer API +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 63 | Gemini Developer API +9 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **65.5 · B** | **66.4 · B** | |\n\n## Facts side by side\n\n| Fact | Gemini Developer API | SambaCloud |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | SambaNova Systems, Inc. |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.sambanova.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-09-17 |\n| Terms last updated | 2026-04-28 | no date given |\n| Privacy policy last updated | 2026-10-01 | 2023-05-27 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | 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 | 4k stars | 2 stars, 76 npm/wk, 6.1k PyPI/wk |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**Gemini Developer API.** Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.\n\n**SambaCloud.** Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.\n\n## Before you call either\n\n### Gemini Developer API\n\n1. Never send customer data through a free-tier key. Link billing first\n2. Don't request Gemini 4 Argon here. It has no Developer API model ID as of 5 October 2026\n3. Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403\n4. Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21\n5. Validate structured output yourself. The docs don't promise schema-constrained decoding\n\n### SambaCloud\n\n1. Call `GET https://api.sambanova.ai/v1/models` at start-up and use only ids it returns. The docs name models the endpoint no longer lists\n2. Read `x-ratelimit-remaining-requests` and `x-ratelimit-remaining-requests-day` on every response. The free tier allows 20 requests a day per model\n3. Treat 429 `queue_full` and 503 `maintenance` as retryable after a delay, and 410 `model_deprecated` as a signal to change model\n4. Validate JSON output yourself. Schema enforcement is best effort and `strict: true` changes nothing\n5. Check `max_completion_tokens` per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072\n\n## Questions\n\n### Which is better for AI agents, Gemini Developer API or SambaCloud?\n\nSambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust.\n\n### Do Gemini Developer API and SambaCloud need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gemini Developer API and SambaCloud without installing anything?\n\nYes. Gemini Developer API has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and SambaCloud at https://api.sambanova.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-api\", \"b\": \"sambanova\"}`. From a terminal: `anchor compare gemini-api sambanova`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-api.json and https://www.anchorterminal.com/api/v1/tools/sambanova.json\n\n## Other comparisons with Gemini Developer API or SambaCloud\n\n- [Claude API vs Gemini Developer API](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.md)\n- [Claude API vs SambaCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova.md)\n- [Antseed vs Gemini Developer API](https://www.anchorterminal.com/compare/antseed-vs-gemini-api.md)\n- [Antseed vs SambaCloud](https://www.anchorterminal.com/compare/antseed-vs-sambanova.md)\n- [BlockRun.AI vs Gemini Developer API](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.md)\n- [BlockRun.AI vs SambaCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.md)\n- [DeepInfra vs Gemini Developer API](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.md)\n- [DeepInfra vs SambaCloud](https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.md)\n- [DeepSeek API vs Gemini Developer API](https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-api.md)\n- [DeepSeek API vs SambaCloud](https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova.md)\n- [Gemini Developer API vs GroqCloud](https://www.anchorterminal.com/compare/gemini-api-vs-groq.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [Gemini Developer API vs OpenAI API](https://www.anchorterminal.com/compare/gemini-api-vs-openai-api.md)\n- [Gemini Developer API vs OpenRouter](https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [GroqCloud vs SambaCloud](https://www.anchorterminal.com/compare/groq-vs-sambanova.md)\n- [Mistral AI API vs SambaCloud](https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.md)\n- [OpenAI API vs SambaCloud](https://www.anchorterminal.com/compare/openai-api-vs-sambanova.md)\n- [OpenRouter vs SambaCloud](https://www.anchorterminal.com/compare/openrouter-vs-sambanova.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n",
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    "description": "SambaCloud and Gemini Developer API score within a point of each other on agent readiness, 66.4 (B) and 65.5 (B). Gemini Developer API leads on agent ergonomics, maintenance \u0026 community and transparency \u0026 trust. Both do llm inference. Category scores, facts, verdicts and agent…",
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    "section": "tools",
    "title": "Gemini Developer API vs SambaCloud for AI agents, B 65.5 vs B 66.4",
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