{
  "data": {
    "a": {
      "slug": "gemini-api",
      "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,
        "asOf": "2026-09-26"
      },
      "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": 254,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 7,
        "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
          }
        ],
        "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",
        "google-adk",
        "google-secret-manager",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "google-drive-api",
        "gemini-cli",
        "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": "2026-10-08T19:52:51.569706403Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 30,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 46,
          "p95ms24h": 117,
          "samples24h": 272,
          "samples30d": 3097,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "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
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 225,
              "ok": 225
            }
          ]
        },
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-08T19:38:35.2260841Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "googleapis/python-genai",
            "version": "v2.29.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:12:39.230038656Z"
          },
          {
            "registry": "npm",
            "name": "@google/genai",
            "version": "2.28.0",
            "seenAt": "2026-10-08T16:12:35.192407083Z"
          },
          {
            "registry": "pypi",
            "name": "google-genai",
            "version": "2.29.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:12:34.990431419Z"
          }
        ],
        "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": "2026-10-07T22:59:28.227561634Z"
          },
          "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": "2026-10-07T22:59:28.227561634Z"
          },
          "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": "2026-10-07T22:59:28.227561634Z"
          },
          "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": "2026-10-07T22:59:28.227561634Z"
          }
        },
        "updatedAt": "2026-10-08T19:52:51.569706403Z"
      }
    },
    "answer": "Gemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth.",
    "b": {
      "slug": "prism-inference",
      "name": "Prism Inference",
      "vendor": "Prism Technologies Inc",
      "vendorUrl": "https://prisminference.com",
      "kind": "model",
      "category": "inference",
      "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.",
      "url": "https://www.anchorterminal.com/tools/prism-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json",
      "repo": "https://github.com/prismhq/hermes-prism-provider",
      "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.prisminference.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.",
      "priceSummary": "from $0.09 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.prisminference.com",
      "rateLimitsUrl": "https://docs.prisminference.com/rate-limits",
      "llmsTxt": "https://prisminference.com/llms.txt",
      "openapi": "https://docs.prisminference.com/openapi.yaml",
      "capabilities": [
        "inference.fast",
        "inference.open-weights",
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "fast",
        "usage-priced",
        "prepaid",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "zero-retention",
        "status-page",
        "new"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.1,
        "grade": "C",
        "agentReady": false,
        "rank": 412,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)."
        ],
        "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
        "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "strengths": [
          "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs",
          "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training",
          "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds",
          "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model",
          "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million"
        ],
        "weaknesses": [
          "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available",
          "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'",
          "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement",
          "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code",
          "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found"
        ],
        "agentNotes": [
          "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access",
          "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients",
          "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity",
          "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output",
          "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 60.1
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 43
        },
        "provenanceScore": 79
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1",
        "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n  -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b"
      },
      "letme": {
        "capability": "https://letme.dev/inference.fast",
        "tool": "https://letme.dev/prism-inference"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Prism Technologies Inc",
        "domain": "prisminference.com",
        "domainRegistered": "2026-09-09",
        "endpointOnVendorDomain": true,
        "terms": "https://prisminference.com/terms",
        "privacy": "https://prisminference.com/privacy",
        "statusPage": "https://status.prisminference.com",
        "changelog": "https://docs.prisminference.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.",
          "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.",
          "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.",
          "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.",
          "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product."
        ],
        "score": 79
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json",
      "live": {
        "slug": "prism-inference",
        "probe": {
          "target": "https://api.prisminference.com/v1",
          "method": "get",
          "lastAt": "2026-10-08T19:52:59.594880913Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 129,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 142,
          "p95ms24h": 447,
          "samples24h": 50,
          "samples30d": 50,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 50,
              "ok": 50
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prisminference.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T19:50:59.279280258Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prismhq/hermes-prism-provider",
            "version": "v1.0.2",
            "released": "2026-09-16",
            "seenAt": "2026-10-08T16:26:20.638377705Z"
          }
        ],
        "githubStars": 0,
        "securityTxt": {
          "url": "https://prisminference.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-08T15:38:58.310470594Z"
        },
        "pages": [
          {
            "url": "https://docs.prisminference.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:19:15.357311357Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "184a0fafdb8c"
          },
          {
            "url": "https://prisminference.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:20.103073255Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dffb5d16a3c8"
          },
          {
            "url": "https://prisminference.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:22.266572016Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "64ea7b8f1b7b"
          },
          {
            "url": "https://prisminference.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:24.296415884Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "27dd15c69f49"
          }
        ],
        "updatedAt": "2026-10-08T19:52:59.594880913Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Google",
        "b": "Prism Technologies Inc",
        "name": "Vendor"
      },
      {
        "a": "https://generativelanguage.googleapis.com/v1beta",
        "b": "https://api.prisminference.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (SDKs)",
        "b": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-22",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "2026-04-28",
        "b": "2026-09-09",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "2026-09-09",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "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": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "4k stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Gemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth.",
        "question": "Which is better for AI agents, Gemini Developer API or Prism Inference?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Gemini Developer API and Prism Inference need an API key?"
      },
      {
        "answer": "Yes. Gemini Developer API has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Prism Inference at https://api.prisminference.com/v1.",
        "question": "Can an agent call Gemini Developer API and Prism Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 90 against 68",
          "Payments \u0026 pricing, 40 against 30",
          "Maintenance \u0026 community, 83 against 49",
          "Transparency \u0026 trust, 72 against 61"
        ],
        "also": [
          "Free to start without a card"
        ],
        "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, 65 against 40",
          "Security \u0026 auth, 65 against 60"
        ],
        "also": null,
        "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "slug": "prism-inference",
        "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "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-prism-inference.json",
        "title": "Claude API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference"
      },
      {
        "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-prism-inference.json",
        "title": "Antseed vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference"
      },
      {
        "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-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/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-prism-inference.json",
        "title": "DeepSeek API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference"
      },
      {
        "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",
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.json",
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        "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json",
        "title": "GroqCloud vs Prism Inference",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json",
        "title": "Mistral AI API vs Prism Inference",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json",
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        "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json",
        "title": "OpenRouter vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference"
      }
    ],
    "scores": [
      {
        "by": 25,
        "edge": "prism-inference",
        "gemini-api": 40,
        "key": "reliability",
        "name": "Reliability",
        "prism-inference": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "edge": "gemini-api",
        "gemini-api": 85,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "prism-inference": 82,
        "weight": 13
      },
      {
        "by": 22,
        "edge": "gemini-api",
        "gemini-api": 90,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "prism-inference": 68,
        "weight": 13
      },
      {
        "by": 5,
        "edge": "prism-inference",
        "gemini-api": 60,
        "key": "security",
        "name": "Security \u0026 auth",
        "prism-inference": 65,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "gemini-api",
        "gemini-api": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "prism-inference": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 34,
        "edge": "gemini-api",
        "gemini-api": 83,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "prism-inference": 49,
        "weight": 7
      },
      {
        "by": 11,
        "edge": "gemini-api",
        "gemini-api": 72,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "prism-inference": 61,
        "weight": 7
      }
    ],
    "summary": "Gemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth. 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.",
      "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found."
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  "markdown": "Gemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth. Both do llm inference.\n\n- Gemini Developer API: grade B, 65.5/100, rank #254 of 722. Markdown https://www.anchorterminal.com/tools/gemini-api.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-api.json\n- Prism Inference: grade C, 60.1/100, rank #412 of 722. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.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 68\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 83 against 49\n- Transparency \u0026 trust, 72 against 61\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Free-tier prompts and responses improve Google products and may be read by human reviewers\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 40\n- Security \u0026 auth, 65 against 60\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n\n## Score by category\n\n| Category | Weight | Gemini Developer API | Prism Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 65 | Prism Inference +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 82 | Gemini Developer API +3 |\n| Agent ergonomics | 13% (16.2 this run) | 90 | 68 | Gemini Developer API +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 65 | Prism Inference +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | Gemini Developer API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 49 | Gemini Developer API +34 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 61 | Gemini Developer API +11 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **65.5 · B** | **60.1 · C** | |\n\n## Facts side by side\n\n| Fact | Gemini Developer API | Prism Inference |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Google | Prism Technologies Inc |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://api.prisminference.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-10-06 |\n| Terms last updated | 2026-04-28 | 2026-09-09 |\n| Privacy policy last updated | 2026-10-01 | 2026-09-09 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | not found in the text |\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 | yes |\n| Popularity | 4k stars | none |\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**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\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### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n## Questions\n\n### Which is better for AI agents, Gemini Developer API or Prism Inference?\n\nGemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth.\n\n### Do Gemini Developer API and Prism Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gemini Developer API and Prism Inference without installing anything?\n\nYes. Gemini Developer API has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and Prism Inference at https://api.prisminference.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-api\", \"b\": \"prism-inference\"}`. From a terminal: `anchor compare gemini-api prism-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-api.json and https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n\n## Other comparisons with Gemini Developer API or Prism Inference\n\n- [Claude API vs Gemini Developer API](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.md)\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Antseed vs Gemini Developer API](https://www.anchorterminal.com/compare/antseed-vs-gemini-api.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [BlockRun.AI vs Gemini Developer API](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [DeepSeek API vs Gemini Developer API](https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-api.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.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- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n",
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      {
        "name": "Gemini Developer API vs Prism Inference",
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    "description": "Gemini Developer API scores 65.5 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and security \u0026 auth. Both do llm inference. Category scores, facts, verdicts and agent notes side by side.",
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      "Prism Inference C 60.1",
      "scores"
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    "h1": "Gemini Developer API vs Prism Inference",
    "image": "https://www.anchorterminal.com/assets/og/compare-gemini-api-vs-prism-inference.png",
    "path": "/compare/gemini-api-vs-prism-inference",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Gemini Developer API vs Prism Inference for AI agents",
    "toc": null,
    "updated": "2026-10-08",
    "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference"
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  "version": 1
}