{
  "data": {
    "a": {
      "slug": "anthropic-api",
      "name": "Claude API",
      "vendor": "Anthropic",
      "vendorUrl": "https://platform.claude.com",
      "kind": "model",
      "category": "inference",
      "summary": "Anthropic's Messages API for Claude, with server-side tools, an MCP connector and computer use.",
      "url": "https://www.anchorterminal.com/tools/anthropic-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/anthropic-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/anthropic-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/anthropic-api.json",
      "dns": "anthropic-api.grade.anchorterminal.com",
      "repo": "https://github.com/anthropics/anthropic-sdk-python",
      "license": "Apache 2.0 (SDKs from the 21 October 2026 major versions; earlier versions MIT)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.anthropic.com/v1/messages",
      "packages": [
        {
          "registry": "pypi",
          "name": "anthropic"
        },
        {
          "registry": "npm",
          "name": "@anthropic-ai/sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` header, with the legacy `x-api-key` header still accepted, plus `anthropic-version`. Personal and service-account keys are created in the Console for one workspace or several.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits. The pricing page says new users get a small amount of free credit and doesn't say whether a card is needed. Batch is half price. Cache writes cost 1.25x input for 5 minutes or 2x for an hour, reads 0.1x (0.05x on Opus 5.5 and Sonnet 5.5, 0.025x on Fable 5.1 and Mythos 5.1). Haiku 5.5 is priced by prompt length, $0.10/$0.50 per million up to 100,000 prompt tokens and $0.50/$2.50 above. US-only inference costs 1.1x. Fast mode on Opus 5.5 costs $8/$40 per million ($10/$50 on Opus 5 and 4.8, still in research preview; fast mode on Opus 4.8 is removed on 30 November 2026). Web search $10 per 1,000, web fetch billed as tokens only, code execution free alongside them or $0.05 per container hour after 1,550 free hours a month (https://platform.claude.com/docs/en/about-claude/pricing).",
      "priceSummary": "from $0.10 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs a Console account with a card on file.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 3900,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://platform.claude.com/docs",
      "rateLimitsUrl": "https://platform.claude.com/docs/en/api/rate-limits",
      "llmsTxt": "https://platform.claude.com/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "card-required",
        "llms-txt"
      ],
      "lastRelease": "2026-10-30",
      "graded": true,
      "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and re-checked on 15 October 2026 with every judgement call written in the note. Since that date the panel reviews it too, at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.",
      "anchor": {
        "graded": true,
        "score": 77.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 34,
        "ranked": true,
        "rankOf": 1486,
        "categoryRank": 6,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 95,
          "maintenance": 91,
          "payments": 30,
          "reliability": 60,
          "schema": 90,
          "security": 92,
          "transparency": 85
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": 0,
        "verdict": "Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. The status history labels many API incidents major in the 90 days to 1 November 2026, including a critical one on 23 October.",
        "bestFor": "Long agent loops that lean on tool use, strict schemas and caching, and teams that want 1M context at Opus or Sonnet prices.",
        "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and re-checked on 15 October 2026 with every judgement call written in the note. Since that date the panel reviews it too, at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.",
        "strengths": [
          "Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model",
          "1M-token context on Opus 5.5, Sonnet 5.5 and Fable 5.1, with cache reads at $0.20 per million on Opus 5.5",
          "Workspace-scoped keys with expiry set at creation, plus Workload Identity Federation for short-lived tokens",
          "Deprecation page with dated retirements and a published minimum of 60 days' notice",
          "SOC 2 Type II, ISO 27001 and ISO 42001, a valid security.txt and a HackerOne programme"
        ],
        "weaknesses": [
          "Many API incidents labelled major in the 90 days to 1 November 2026, among them a critical one on 23 October and five more from 24 to 27 October",
          "Keys are created only in the browser Console, and there's no machine payment",
          "`tool_choice` any or tool returns 400 on Opus 5.5, Sonnet 5.5 and Fable 5.1, and thinking can't be disabled on Opus 5.5 or Fable 5.1",
          "Retention reads 'not retained by default' in the docs and 'deleted within 30 days' in the privacy centre",
          "No SLA on sale. Priority Tier's 99.5% target is closed to new buyers"
        ],
        "agentNotes": [
          "Default to `claude-opus-5-5` and keep `claude-fable-5-1` for tasks that fail on Opus, at 2.5 times the price",
          "Don't send `tool_choice` any or tool to Opus 5.5, Sonnet 5.5 or Fable 5.1. Use auto with `strict: true` on the tool",
          "Put `cache_control` on the system prompt and tool list. Reads cost 0.05x input on Opus 5.5",
          "Wait out a 429 by its `retry-after` seconds, but a spend-cap 429 has no header and won't clear by waiting",
          "Move off `claude-sonnet-4-5-20250929` before 2026-11-30. Retired ids fail, they don't redirect",
          "Moving from `claude-haiku-4-5-20251001` to `claude-haiku-5-5`, drop temperature, top_p, top_k, prefill and `budget_tokens`, which return 400",
          "Pin your SDK major or `anthropic-version` deliberately. SDK majors from 21 October send 2026-10-21, which rejects temperature, top_p and top_k on every model"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 77.3
          }
        ],
        "editorialScores": {
          "ergonomics": 95,
          "maintenance": 91,
          "payments": 30,
          "reliability": 60,
          "schema": 90,
          "security": 92,
          "transparency": 75
        },
        "provenanceScore": 95,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-10-08",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install anthropic   # or: npm i @anthropic-ai/sdk",
        "http": "curl https://api.anthropic.com/v1/messages \\\n  -H \"x-api-key: $ANTHROPIC_API_KEY\" -H \"anthropic-version: 2023-06-01\" \\\n  -H \"content-type: application/json\" \\\n  -d '{\"model\":\"claude-opus-5-5\",\"max_tokens\":512,\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/anthropic-api"
      },
      "sameCompany": [
        "claude-agent-sdk",
        "claude-code"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Web search tool",
          "unit": "1k-requests",
          "usd": 10
        }
      ],
      "provenance": {
        "legalEntity": "Anthropic, PBC",
        "domain": "anthropic.com",
        "domainRegistered": "2001-10-02",
        "domainNote": "The API is on anthropic.com. anthropic.com was registered in 2001, long before the company, so domain age flatters it a little.",
        "endpointOnVendorDomain": true,
        "terms": "https://www.anthropic.com/legal/commercial-terms",
        "privacy": "https://www.anthropic.com/legal/privacy",
        "statusPage": "https://status.claude.com",
        "changelog": "https://platform.claude.com/docs/en/release-notes/overview",
        "securityTxt": "valid",
        "checked": "2026-11-01",
        "score": 95
      },
      "requirements": {
        "setupChecked": true,
        "complianceChecked": true,
        "card": "unknown",
        "freeTier": true,
        "minutes": 5,
        "credential": "api-key",
        "hosting": [
          "US",
          "global"
        ],
        "euResidency": "no",
        "trainsOnData": "no",
        "zeroRetention": "enterprise",
        "certifications": [
          "HIPAA (BAA available)"
        ],
        "selfHost": "no"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/anthropic-api.json",
      "live": {
        "slug": "anthropic-api",
        "probe": {
          "target": "https://api.anthropic.com/v1/messages",
          "method": "get",
          "lastAt": "2026-11-07T18:20:10.465015097Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 126,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 29,
          "p95ms24h": 111,
          "samples24h": 239,
          "samples30d": 7910,
          "days": [
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              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
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              "ok": 268
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            {
              "date": "2026-10-09",
              "probes": 250,
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            {
              "date": "2026-10-10",
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        "vendorStatus": {
          "page": "https://status.claude.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-07T18:20:32.746098278Z"
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        "pypiWeekly": 50083571,
        "securityTxt": {
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          "checkedAt": "2026-11-07T16:01:41.833331013Z"
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          "url": "https://platform.claude.com/llms.txt",
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          "checkedAt": "2026-11-07T15:31:33.576745074Z"
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        "domain": {
          "domain": "anthropic.com",
          "registered": "2001-10-02",
          "source": "https://rdap.verisign.com/com/v1/domain/anthropic.com",
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          "pushedAt": "2026-10-23T23:18:21Z",
          "openIssues": 72,
          "openPRs": 161,
          "issuesOpened90d": 68,
          "issuesClosed90d": 142,
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    "answer": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude API's 77.3 (BB), and leads in 3 of 7 scored categories. Claude API leads on payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "slug": "azure-openai",
      "name": "Azure OpenAI in Foundry Models",
      "vendor": "Microsoft",
      "vendorUrl": "https://azure.microsoft.com",
      "kind": "model",
      "category": "inference",
      "summary": "Microsoft Azure's hosted API for OpenAI's GPT models and other Foundry Models sold by Azure, such as DeepSeek, Llama, Mistral and Grok, called through an OpenAI-compatible v1 endpoint on each customer's Azure resource.",
      "url": "https://www.anchorterminal.com/tools/azure-openai",
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      "dns": "azure-openai.grade.anchorterminal.com",
      "repo": "https://github.com/Azure/azure-rest-api-specs",
      "license": "Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://\u003cresource\u003e.openai.azure.com/openai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "@azure/openai"
        }
      ],
      "auth": "mixed",
      "authNotes": "`api-key` header with one of the resource's two regenerable keys, or a Microsoft Entra ID bearer token (scope https://ai.azure.com/.default) with the Cognitive Services OpenAI User role. Key authentication can be disabled per resource (`disableLocalAuth`). Each model must be deployed in the resource before it can be called, by deployment name.",
      "pricing": "usage",
      "pricingNotes": "Pay per token on an Azure subscription. Global Standard GPT-6 and GPT-6.1 prices match OpenAI's list (GPT-6.1 Sol $2/$10, GPT-6.1 Terra $1/$5 per million tokens), Data Zone costs 10% more, long-context requests cost 2x input and 1.5x output, cached input 0.1x, cache writes 1.25x, Flex half price and priority processing 2x (GPT-6 Sol). Batch is 50% off Global Standard. Provisioned throughput is billed per PTU hour. Prices from the Azure Retail Prices API, because the pricing page fills its table with JavaScript (checked 2026-11-06).",
      "priceSummary": "from $0.10 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Foundry docs, the v1 OpenAPI spec or the pricing page. Access needs an Azure subscription with a payment method (checked 2026-11-06).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 454039,
        "pypiWeekly": null,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://learn.microsoft.com/en-us/azure/foundry/openai/",
      "rateLimitsUrl": "https://learn.microsoft.com/en-us/azure/foundry/openai/quotas-limits",
      "openapi": "https://github.com/Azure/azure-rest-api-specs/blob/main/specification/ai/data-plane/OpenAI.v1/azure-v1-v1-generated.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "card-required",
        "openapi",
        "openai-compatible",
        "closed-source",
        "enterprise",
        "eu",
        "python",
        "typescript",
        "status-page",
        "bug-bounty"
      ],
      "lastRelease": "2026-10-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 80,
        "grade": "A",
        "agentReady": true,
        "rank": 14,
        "ranked": true,
        "rankOf": 1486,
        "categoryRank": 4,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 98,
          "maintenance": 86,
          "payments": 20,
          "reliability": 80,
          "schema": 87,
          "security": 95,
          "transparency": 83
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "An OpenAI-compatible v1 API with a public OpenAPI spec, Entra ID roles in place of shared keys and FedRAMP High scope, with GPT-6 and GPT-6.1 at OpenAI's list prices on Global Standard. Access needs an Azure subscription with a card and a deployment per model, and a 29 September 2026 incident caused about six hours of failures in Sweden Central.",
        "bestFor": "Teams on Azure that need OpenAI models with Entra ID, private networking, EU or US data zones or FedRAMP scope, and one resource that also serves DeepSeek, Llama, Mistral and Grok models.",
        "strengths": [
          "Public OpenAPI 3.2 spec for the v1 API, 71 paths covering Responses, Chat Completions, batches, files and vector stores",
          "Microsoft Entra ID tokens with Azure roles, and key authentication can be switched off per resource",
          "GA models carry a retirement date 18 months after launch, set at release and readable through the Models API",
          "Data Zone deployments keep processing inside the EU or US, and Azure OpenAI is in FedRAMP High scope",
          "GPT-6 Astra, Sol and Luna at $10/$50, $2/$10 and $0.10/$0.50 per million tokens on Global Standard"
        ],
        "weaknesses": [
          "Intermittent failures and 5xx errors in Sweden Central for about six hours on 29 September 2026",
          "An Azure subscription with a card, a resource and a model deployment come before the first call",
          "No llms.txt, and no Azure OpenAI what's new page was found; the Foundry one still covered August on 6 November",
          "No retention period stated for prompts kept for human abuse review, and Responses data is kept 30 days by default",
          "The retirement schedule lists two `gpt-realtime-mini` versions twice with different retirement dates, and no GPT-6 retirement dates yet"
        ],
        "agentNotes": [
          "Point the OpenAI SDK at https://\u003cresource\u003e.openai.azure.com/openai/v1/ and pass the deployment name as `model`, not the model id",
          "Prefer Entra ID with the Cognitive Services OpenAI User role over the resource key, which opens the whole data plane",
          "On 429 wait for `retry-after-ms`, then back off with jitter. The OpenAI SDK retries twice by default",
          "Set `store: false` on Responses calls you don't need kept. Stored responses persist 30 days by default",
          "Keep remote MCP approvals on for servers you don't control. They're required by default"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "A",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 80
          }
        ],
        "editorialScores": {
          "ergonomics": 98,
          "maintenance": 86,
          "payments": 20,
          "reliability": 80,
          "schema": 87,
          "security": 95,
          "transparency": 77
        },
        "provenanceScore": 88,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-06",
            "maintenance": "2026-11-06",
            "payments": "2026-11-06",
            "reliability": "2026-11-06",
            "schema": "2026-11-06",
            "security": "2026-11-06",
            "transparency": "2026-11-06"
          },
          "last": "2026-11-06",
          "oldest": "2026-11-06",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install openai azure-identity   # or: npm i openai @azure/identity",
        "http": "curl \"https://$AZURE_OPENAI_RESOURCE.openai.azure.com/openai/v1/responses\" \\\n  -H \"api-key: $AZURE_OPENAI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"\u003cyour-deployment-name\u003e\",\"input\":\"hello\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/azure-openai"
      },
      "sameCompany": [
        "azure-foundry-fine-tuning",
        "azure-ai-content-safety",
        "azure-speech-to-text",
        "azure-text-to-speech",
        "microsoft-agent-framework",
        "microsoft-execution-containers",
        "microsoft-entra-agent-id",
        "azure-key-vault",
        "bing-grounding",
        "azure-document-intelligence",
        "azure-devops-mcp",
        "microsoft-learn-mcp",
        "tokeneconomizer",
        "playwright-mcp",
        "azure-mcp",
        "azure-maps",
        "azure-translator",
        "microsoft-graph-calendar",
        "azure-blob-storage",
        "onedrive-sharepoint",
        "microsoft-teams",
        "dynamics-365-sales",
        "copilot-studio-mcp",
        "power-automate",
        "foundry-local",
        "microsoft-decision-1",
        "microsoft-advertising-api",
        "microsoft-excel-graph",
        "outlook-mail-graph",
        "microsoft-graph-people",
        "mage-vl-cowork"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT-6.1 Sol input, Global Standard",
          "unit": "1m-tokens",
          "usd": 2,
          "note": "short context, Retail Prices API meter effective 2026-10-01"
        },
        {
          "item": "GPT-6.1 Sol output, Global Standard",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "short context"
        },
        {
          "item": "GPT-6.1 Terra input, Global Standard",
          "unit": "1m-tokens",
          "usd": 1,
          "note": "short context"
        },
        {
          "item": "GPT-6.1 Terra output, Global Standard",
          "unit": "1m-tokens",
          "usd": 5,
          "note": "short context"
        },
        {
          "item": "GPT-6 Astra input, Global Standard",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "short context"
        },
        {
          "item": "GPT-6 Astra output, Global Standard",
          "unit": "1m-tokens",
          "usd": 50,
          "note": "short context"
        }
      ],
      "provenance": {
        "legalEntity": "Microsoft Corporation",
        "domain": "microsoft.com",
        "domainRegistered": "1991-05-02",
        "domainNote": "Endpoints are on openai.azure.com and cognitiveservices.azure.com. microsoft.com publishes a security.txt, but it passed its Expires date on 2026-09-23 and was still expired on 2026-11-06.",
        "endpointOnVendorDomain": true,
        "terms": "https://www.microsoft.com/licensing/terms/product/ForOnlineServices/all",
        "privacy": "https://privacy.microsoft.com/en-us/privacystatement",
        "statusPage": "https://azure.status.microsoft/en-us/status",
        "changelog": "https://learn.microsoft.com/en-us/azure/foundry/whats-new-foundry",
        "securityTxt": "expired",
        "checked": "2026-11-06",
        "score": 88
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/azure-openai.json",
      "live": {
        "slug": "azure-openai",
        "probe": {
          "target": "https://\u003cresource\u003e.openai.azure.com/openai/v1",
          "method": "get",
          "lastAt": "2026-11-07T18:20:12.145420458Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "DNS lookup failed",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 200,
          "samples30d": 200,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 0
            },
            {
              "date": "2026-11-07",
              "probes": 187,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-11-06T22:45:05.888142257Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "DNS lookup failed"
            }
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        "versions": [
          {
            "registry": "npm",
            "name": "@azure/openai",
            "version": "2.0.0",
            "seenAt": "2026-11-06T23:09:28.988578937Z"
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            "registry": "npm",
            "name": "openai",
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            "seenAt": "2026-11-06T23:09:28.954764315Z"
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            "registry": "pypi",
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            "released": "2026-11-05",
            "seenAt": "2026-11-06T23:09:28.844701934Z"
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        "githubStars": 3113,
        "npmWeekly": 56543040,
        "pypiWeekly": 91156146,
        "securityTxt": {
          "url": "https://microsoft.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-27T16:00:00.000Z",
          "checkedAt": "2026-11-07T16:02:01.196666056Z"
        },
        "pages": [
          {
            "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:13:01.613678733Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "51438ff38076"
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        ],
        "updatedAt": "2026-11-07T18:20:12.145420458Z"
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    },
    "edges": [
      {
        "by": 20,
        "category": "reliability",
        "leads": "azure-openai",
        "name": "Reliability",
        "reasons": {
          "a": "Status page at status.claude.com with component history (20). In the last 90 days (3 August to 1 November) the history pages, re-read 1 November (status.claude.com's robots.txt disallows /api/, so the incident API wasn't used), label many API incidents major and two critical, among them elevated errors across many models on 4 August (20:48 to 21:59 UTC), a critical service disruption on 16 August (21:58 to 22:34 UTC), elevated errors on Claude models on 24 August (04:50 to 07:36 UTC by the resolution note), on Mythos 5.1, Fable 5.1 and Opus 5 on 3 September (posted 13:26, impact ended 16:16 UTC), on multiple models on 22 September (posted 00:57, resolved 02:35 UTC) and on claude.ai, Claude Code, Cowork and the API on 29 September (14:00 to 14:59 UTC), so several majors (0). Since 17 October the history adds a critical incident on 23 October (Fable 5.1, Sonnet 5.5, Haiku 5.5 and fast mode on Opus 5.5, 23:28 to 23:59 UTC), and majors on Opus 5.5 on 24 October (00:31 to 00:37 UTC), Fable 5 and 5.1 on 24 October (05:16 to 05:53 UTC), Sonnet 5.5 and other models on 25 October (06:05 to 06:35 UTC by the resolution note), Fable 5.1 on 25 October (08:17 to 08:49 UTC) and Sonnet 5.5 twice on 27 October (09:14 to 09:56 and 15:09 to 15:50 UTC). The 21 and 29 July incidents left the window. Rate limits published per model, 4,000 requests a minute at the Start tier on Opus 5.5, Sonnet 5.5, Haiku 5.5 and Fable 5.x and 1,000 on older models, re-read 1 November (15). 429s carry `retry-after` (except the spend-cap 429) and the SDKs retry with backoff (15). No SLA on sale. Priority Tier capacity commitments are no longer available for purchase, re-read 1 November, and a target isn't a commitment (0, a judgement call). Messages API is GA (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by agents running on Claude, by the same checklist as every other listing.",
          "b": "Azure status page with post-incident reviews, listing Azure OpenAI Service, Foundry Models and Foundry Agent Service as components (20). One incident in the 90 days to 6 November 2026 names Azure OpenAI, and no review after it does, intermittent request failures, higher latency and HTTP 5xx errors in Sweden Central from 10:03 to 15:58 UTC on 29 September 2026 (tracking 7QL5-Z50), counted as one major outage as in the Foundry fine-tuning dossier. The 23 July West US review and the 30 September gateway incident don't name it (10). Quota tiers from Free to Tier 6 with TPM and RPM per model and deployment type, 1,000 RPM and 1,000,000 TPM for each GPT-6 model on Global Standard at Tier 1 (15). 429 responses carry `retry-after-ms`, every response carries `x-ratelimit-*` headers, and the quota guide gives exponential backoff with jitter and SDK retry settings (15). The models page says models sold by Azure are covered by Azure service-level agreements and links the Online Services SLA. The consolidated SLA document wouldn't download on 6 October and wasn't retried on 6 November, so the clause rests on Microsoft's docs, read the same way as the 5 October Azure Speech check (10). The v1 API is GA and the GPT-6 models carry no preview label (10)."
        },
        "scores": {
          "a": 60,
          "b": 80
        }
      },
      {
        "by": 10,
        "category": "payments",
        "leads": "anthropic-api",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "No machine payment protocol, and none named on the pricing page, re-read 1 November (0). Per-token prices published without a login (20). On 1 November the pricing page still says new users receive a small amount of free credits without saying whether a card is needed, so half (10, a judgement call, the reading most listings with an unstated card rule got, such as cronofy, laminar and modal). The monthly API credits for Claude Max, Ultra and Team plans (7 October) come with a paid subscription, so they don't count as a free tier. Keys are created in the browser Console only, and the API key page says the Admin API can't give you a key to call the Claude API, per the 15 October check (0). 0 + 20 + 10 + 0 = 30.",
          "b": "No x402, MPP or L402 (0). Per-1M-token prices are public in the Azure Retail Prices API without a login, while the pricing page fills its table with JavaScript and showed GPT-6 prices as pending on 6 October (20). The quota tiers include a Free tier, but an Azure subscription needs a payment method (0). A person signs up for Azure in a browser and creates a resource and a deployment before the first call (0)."
        },
        "scores": {
          "a": 30,
          "b": 20
        }
      },
      {
        "by": 5,
        "category": "maintenance",
        "leads": "anthropic-api",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading. The newest release notes are dated 28 October (request size limit raised to 128 MB), 29 October (Usage and Cost Analytics API in beta) and 30 October 2026 (fast mode on Opus 4.8 deprecated, removal on 30 November) (30). Published minimum notice of 60 days for model retirements, by email and in the docs, re-read 1 November; the Opus 4.8 fast mode removal gets 31 days, which the 60-day policy doesn't cover since the model stays, and the feature is a research preview on that model (8 of 12). One model shutdown date in the last 90 days, Opus 4.1 on 5 August, kept to its notice (8 of 8). Dated release notes several times a week and a support centre (15 of 15). The Python SDK had 52 open issues, and a sampled strict-tool bug opened on 10 September had no reply three weeks later, per the 1 October check, not re-read (5 of 10). Current official SDKs, Python `anthropic` 2.3.0 and TypeScript `sdk-v1.3.0`, both tagged 23 October, after new major versions (Python 2.0.0, TypeScript 1.0.0) on 21 October that send API version 2026-10-21 by default (15). Supported runtimes stated, Python 3.10 to 3.14 (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.",
          "b": "Model reading. GPT-6.1 Terra released on Azure on 26 October 2026 and a `gpt-chat-latest` preview of 7 October was added, after GPT-6.1 Sol on 29 September (30). GA models get a retirement date 18 months after launch, set at release and readable through the Models API, with at least 60 days' email and Service Health notice, and previews at least 30 days, so a GA retirement is known more than six months ahead (12 of 12). Many shutdown dates in the 90 days to 6 November, most of them previews or partner models, among them DeepSeek-R1 (13 August), MAI-Image-2 and 2e (15 August), model-router previews (30 August), MAI-Transcribe-1 (15 September), MAI-Image-2.5 previews (1 October), the 2025-03-20 audio models and sora-2 (15 October), a Cohere Command A Plus preview (16 October) and gpt-image-1 (23 October), each in the schedule with a replacement where one exists (4 of 8). The Foundry what's new page, still on August when read on 6 November, plus Microsoft Q\u0026A and paid support; no Azure OpenAI what's new was found (10 of 15). The SDKs are OpenAI's repositories, replies not sampled (5 of 10). Current official SDKs, `openai` 3.46.0 on PyPI (5 November) and 7.53.0 on npm, plus Microsoft's `@azure/openai` 2.0.0 companion (15). Supported runtimes stated, Python 3.9 or later and Node.js 20 or later, though `openai` 3.46.0 requires Python 3.10 (10)."
        },
        "scores": {
          "a": 91,
          "b": 86
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Anthropic",
        "b": "Microsoft",
        "name": "Vendor"
      },
      {
        "a": "https://api.anthropic.com/v1/messages",
        "b": "https://\u003cresource\u003e.openai.azure.com/openai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache 2.0 (SDKs from the 21 October 2026 major versions; earlier versions MIT)",
        "b": "Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-30",
        "b": "2026-10-26",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-09-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "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": "yes",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "3.9k stars",
        "b": "454k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude API's 77.3 (BB), and leads in 3 of 7 scored categories. Claude API leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Claude API or Azure OpenAI in Foundry Models?"
      },
      {
        "answer": "Claude API needs an API key. Azure OpenAI in Foundry Models takes an API key or an OAuth sign-in.",
        "question": "Do Claude API and Azure OpenAI in Foundry Models need an API key?"
      },
      {
        "answer": "Yes. Claude API has a hosted endpoint at https://api.anthropic.com/v1/messages and Azure OpenAI in Foundry Models at https://\u003cresource\u003e.openai.azure.com/openai/v1.",
        "question": "Can an agent call Claude API and Azure OpenAI in Foundry Models without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 91 against 86"
        ],
        "also": null,
        "goodFor": "Long agent loops that lean on tool use, strict schemas and caching, and teams that want 1M context at Opus or Sonnet prices.",
        "slug": "anthropic-api",
        "watchFor": "Many API incidents labelled major in the 90 days to 1 November 2026, among them a critical one on 23 October and five more from 24 to 27 October"
      },
      {
        "aheadOn": [
          "Reliability, 80 against 60"
        ],
        "also": null,
        "goodFor": "Teams on Azure that need OpenAI models with Entra ID, private networking, EU or US data zones or FedRAMP scope, and one resource that also serves DeepSeek, Llama, Mistral and Grok models.",
        "slug": "azure-openai",
        "watchFor": "Intermittent failures and 5xx errors in Sweden Central for about six hours on 29 September 2026"
      }
    ],
    "history": {
      "anthropic-api": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-08",
          "delta": -0.3,
          "from": 77.6,
          "fromGrade": "BB",
          "to": 77.3,
          "toGrade": "BB"
        }
      ],
      "azure-openai": null
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-anthropic-api.json",
        "title": "Amazon Bedrock vs Claude API",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-anthropic-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-azure-openai.json",
        "title": "Amazon Bedrock vs Azure OpenAI in Foundry Models",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-azure-openai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-antseed.json",
        "title": "Claude API vs Antseed",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-antseed"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.json",
        "title": "Claude API vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.json",
        "title": "Claude API vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-ai-gateway.json",
        "title": "Claude API vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.json",
        "title": "Claude API vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.json",
        "title": "Claude API vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.json",
        "title": "Claude API vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepseek-api.json",
        "title": "Claude API vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai.json",
        "title": "Claude API vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.json",
        "title": "Claude API vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-fireworks-inference.json",
        "title": "Claude API vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-fireworks-inference"
      },
      {
        "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-groq.json",
        "title": "Claude API vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-hugging-face-inference-providers.json",
        "title": "Claude API vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.json",
        "title": "Claude API vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.json",
        "title": "Claude API vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.json",
        "title": "Claude API vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api.json",
        "title": "Claude API vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.json",
        "title": "Claude API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.json",
        "title": "Claude API vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.json",
        "title": "Claude API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai.json",
        "title": "Claude API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api.json",
        "title": "Claude API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.json",
        "title": "Claude API vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter"
      },
      {
        "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/anthropic-api-vs-ramp-router.json",
        "title": "Claude API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.json",
        "title": "Claude API vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-routerplus.json",
        "title": "Claude API vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-routerplus"
      },
      {
        "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/anthropic-api-vs-siliconflow.json",
        "title": "Claude API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.json",
        "title": "Claude API vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.json",
        "title": "Claude API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash.json",
        "title": "Claude API vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub.json",
        "title": "Claude API vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.json",
        "title": "Claude API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway.json",
        "title": "Claude API vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.json",
        "title": "Claude API vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api.json",
        "title": "Claude API vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-azure-openai.json",
        "title": "Antseed vs Azure OpenAI in Foundry Models",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-azure-openai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-blockrun-ai.json",
        "title": "Azure OpenAI in Foundry Models vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-blockrun-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cerebras-inference.json",
        "title": "Azure OpenAI in Foundry Models vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cerebras-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-ai-gateway.json",
        "title": "Azure OpenAI in Foundry Models vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cohere-chat.json",
        "title": "Azure OpenAI in Foundry Models vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-deepinfra.json",
        "title": "Azure OpenAI in Foundry Models vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-deepseek-api.json",
        "title": "Azure OpenAI in Foundry Models vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Eden AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-elorian-glimpse.json",
        "title": "Azure OpenAI in Foundry Models vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-fireworks-inference.json",
        "title": "Azure OpenAI in Foundry Models vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-api.json",
        "title": "Azure OpenAI in Foundry Models vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-groq.json",
        "title": "Azure OpenAI in Foundry Models vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-hugging-face-inference-providers.json",
        "title": "Azure OpenAI in Foundry Models vs Hugging Face Inference Providers",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-hugging-face-inference-providers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-inkling-2-small.json",
        "title": "Azure OpenAI in Foundry Models vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-jais-3.json",
        "title": "Azure OpenAI in Foundry Models vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-meta-model-api.json",
        "title": "Azure OpenAI in Foundry Models vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-minimax-api.json",
        "title": "Azure OpenAI in Foundry Models vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-mistral-api.json",
        "title": "Azure OpenAI in Foundry Models vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-muse-spark-open.json",
        "title": "Azure OpenAI in Foundry Models vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-nemotron-3-5-super-vl.json",
        "title": "Azure OpenAI in Foundry Models vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-novita-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-openai-api.json",
        "title": "Azure OpenAI in Foundry Models vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-openrouter.json",
        "title": "Azure OpenAI in Foundry Models vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-prism-inference.json",
        "title": "Azure OpenAI in Foundry Models vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-ramp-router.json",
        "title": "Azure OpenAI in Foundry Models vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-reflection-beam.json",
        "title": "Azure OpenAI in Foundry Models vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-routerplus.json",
        "title": "Azure OpenAI in Foundry Models vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-sambanova.json",
        "title": "Azure OpenAI in Foundry Models vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-siliconflow.json",
        "title": "Azure OpenAI in Foundry Models vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-simplismart.json",
        "title": "Azure OpenAI in Foundry Models vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-stepfun-api.json",
        "title": "Azure OpenAI in Foundry Models vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-swe-2-flash.json",
        "title": "Azure OpenAI in Foundry Models vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-tencent-tokenhub.json",
        "title": "Azure OpenAI in Foundry Models vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-together-inference.json",
        "title": "Azure OpenAI in Foundry Models vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-vercel-ai-gateway.json",
        "title": "Azure OpenAI in Foundry Models vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai.json",
        "title": "Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/azure-openai-vs-xai-api.json",
        "title": "Azure OpenAI in Foundry Models vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-xai-api"
      }
    ],
    "panel": null,
    "scores": [
      {
        "anthropic-api": 60,
        "azure-openai": 80,
        "by": 20,
        "edge": "azure-openai",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "anthropic-api": 90,
        "azure-openai": 87,
        "by": 3,
        "edge": "anthropic-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "anthropic-api": 95,
        "azure-openai": 98,
        "by": 3,
        "edge": "azure-openai",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "anthropic-api": 92,
        "azure-openai": 95,
        "by": 3,
        "edge": "azure-openai",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "anthropic-api": 30,
        "azure-openai": 20,
        "by": 10,
        "edge": "anthropic-api",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "anthropic-api": 91,
        "azure-openai": 86,
        "by": 5,
        "edge": "anthropic-api",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "anthropic-api": 85,
        "azure-openai": 83,
        "by": 2,
        "edge": "anthropic-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude API's 77.3 (BB), and leads in 3 of 7 scored categories. Claude API leads on payments \u0026 pricing and maintenance \u0026 community. Both do llm inference.",
    "tasks": [
      {
        "a": "$7.52",
        "b": "$110",
        "cheaper": "anthropic-api",
        "task": "Research a product and write a sourced report",
        "what": "claude-fable-5-1 on Claude API, gpt-6-astra on Azure OpenAI in Foundry Models"
      },
      {
        "a": "$3.89",
        "b": "$25.07",
        "cheaper": "anthropic-api",
        "task": "Build a small four-page website",
        "what": "claude-fable-5-1 on Claude API, gpt-6-astra on Azure OpenAI in Foundry Models"
      },
      {
        "a": "$0.95",
        "b": "$5.41",
        "cheaper": "anthropic-api",
        "task": "Find and fix a bug in a large codebase",
        "what": "claude-fable-5-1 on Claude API, gpt-6-astra on Azure OpenAI in Foundry Models"
      }
    ],
    "tutorials": [],
    "verdicts": {
      "anthropic-api": "Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. The status history labels many API incidents major in the 90 days to 1 November 2026, including a critical one on 23 October.",
      "azure-openai": "An OpenAI-compatible v1 API with a public OpenAPI spec, Entra ID roles in place of shared keys and FedRAMP High scope, with GPT-6 and GPT-6.1 at OpenAI's list prices on Global Standard. Access needs an Azure subscription with a card and a deployment per model, and a 29 September 2026 incident caused about six hours of failures in Sweden Central."
    }
  },
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  "markdown": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude API's 77.3 (BB), and leads in 3 of 7 scored categories. Claude API leads on payments \u0026 pricing and maintenance \u0026 community. Both do llm inference.\n\n- Claude API: grade BB, 77.3/100, rank #34 of 1486. Markdown https://www.anchorterminal.com/tools/anthropic-api.md · JSON https://www.anchorterminal.com/api/v1/tools/anthropic-api.json\n- Azure OpenAI in Foundry Models: grade A, 80/100, rank #14 of 1486. Markdown https://www.anchorterminal.com/tools/azure-openai.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-openai.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 830 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Claude API (BB)\n\nGood for: Long agent loops that lean on tool use, strict schemas and caching, and teams that want 1M context at Opus or Sonnet prices.\n\nAhead on:\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 91 against 86\n\nWatch for: Many API incidents labelled major in the 90 days to 1 November 2026, among them a critical one on 23 October and five more from 24 to 27 October\n\n### Azure OpenAI in Foundry Models (A)\n\nGood for: Teams on Azure that need OpenAI models with Entra ID, private networking, EU or US data zones or FedRAMP scope, and one resource that also serves DeepSeek, Llama, Mistral and Grok models.\n\nAhead on:\n- Reliability, 80 against 60\n\nWatch for: Intermittent failures and 5xx errors in Sweden Central for about six hours on 29 September 2026\n\n\n## Why the edge\n\n### Reliability: Azure OpenAI in Foundry Models +20\n\n- Claude API (60): Status page at status.claude.com with component history (20). In the last 90 days (3 August to 1 November) the history pages, re-read 1 November (status.claude.com's robots.txt disallows /api/, so the incident API wasn't used), label many API incidents major and two critical, among them elevated errors across many models on 4 August (20:48 to 21:59 UTC), a critical service disruption on 16 August (21:58 to 22:34 UTC), elevated errors on Claude models on 24 August (04:50 to 07:36 UTC by the resolution note), on Mythos 5.1, Fable 5.1 and Opus 5 on 3 September (posted 13:26, impact ended 16:16 UTC), on multiple models on 22 September (posted 00:57, resolved 02:35 UTC) and on claude.ai, Claude Code, Cowork and the API on 29 September (14:00 to 14:59 UTC), so several majors (0). Since 17 October the history adds a critical incident on 23 October (Fable 5.1, Sonnet 5.5, Haiku 5.5 and fast mode on Opus 5.5, 23:28 to 23:59 UTC), and majors on Opus 5.5 on 24 October (00:31 to 00:37 UTC), Fable 5 and 5.1 on 24 October (05:16 to 05:53 UTC), Sonnet 5.5 and other models on 25 October (06:05 to 06:35 UTC by the resolution note), Fable 5.1 on 25 October (08:17 to 08:49 UTC) and Sonnet 5.5 twice on 27 October (09:14 to 09:56 and 15:09 to 15:50 UTC). The 21 and 29 July incidents left the window. Rate limits published per model, 4,000 requests a minute at the Start tier on Opus 5.5, Sonnet 5.5, Haiku 5.5 and Fable 5.x and 1,000 on older models, re-read 1 November (15). 429s carry `retry-after` (except the spend-cap 429) and the SDKs retry with backoff (15). No SLA on sale. Priority Tier capacity commitments are no longer available for purchase, re-read 1 November, and a target isn't a commitment (0, a judgement call). Messages API is GA (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by agents running on Claude, by the same checklist as every other listing.\n- Azure OpenAI in Foundry Models (80): Azure status page with post-incident reviews, listing Azure OpenAI Service, Foundry Models and Foundry Agent Service as components (20). One incident in the 90 days to 6 November 2026 names Azure OpenAI, and no review after it does, intermittent request failures, higher latency and HTTP 5xx errors in Sweden Central from 10:03 to 15:58 UTC on 29 September 2026 (tracking 7QL5-Z50), counted as one major outage as in the Foundry fine-tuning dossier. The 23 July West US review and the 30 September gateway incident don't name it (10). Quota tiers from Free to Tier 6 with TPM and RPM per model and deployment type, 1,000 RPM and 1,000,000 TPM for each GPT-6 model on Global Standard at Tier 1 (15). 429 responses carry `retry-after-ms`, every response carries `x-ratelimit-*` headers, and the quota guide gives exponential backoff with jitter and SDK retry settings (15). The models page says models sold by Azure are covered by Azure service-level agreements and links the Online Services SLA. The consolidated SLA document wouldn't download on 6 October and wasn't retried on 6 November, so the clause rests on Microsoft's docs, read the same way as the 5 October Azure Speech check (10). The v1 API is GA and the GPT-6 models carry no preview label (10).\n\n### Payments \u0026 pricing: Claude API +10\n\n- Claude API (30): No machine payment protocol, and none named on the pricing page, re-read 1 November (0). Per-token prices published without a login (20). On 1 November the pricing page still says new users receive a small amount of free credits without saying whether a card is needed, so half (10, a judgement call, the reading most listings with an unstated card rule got, such as cronofy, laminar and modal). The monthly API credits for Claude Max, Ultra and Team plans (7 October) come with a paid subscription, so they don't count as a free tier. Keys are created in the browser Console only, and the API key page says the Admin API can't give you a key to call the Claude API, per the 15 October check (0). 0 + 20 + 10 + 0 = 30.\n- Azure OpenAI in Foundry Models (20): No x402, MPP or L402 (0). Per-1M-token prices are public in the Azure Retail Prices API without a login, while the pricing page fills its table with JavaScript and showed GPT-6 prices as pending on 6 October (20). The quota tiers include a Free tier, but an Azure subscription needs a payment method (0). A person signs up for Azure in a browser and creates a resource and a deployment before the first call (0).\n\n### Maintenance \u0026 community: Claude API +5\n\n- Claude API (91): Model reading. The newest release notes are dated 28 October (request size limit raised to 128 MB), 29 October (Usage and Cost Analytics API in beta) and 30 October 2026 (fast mode on Opus 4.8 deprecated, removal on 30 November) (30). Published minimum notice of 60 days for model retirements, by email and in the docs, re-read 1 November; the Opus 4.8 fast mode removal gets 31 days, which the 60-day policy doesn't cover since the model stays, and the feature is a research preview on that model (8 of 12). One model shutdown date in the last 90 days, Opus 4.1 on 5 August, kept to its notice (8 of 8). Dated release notes several times a week and a support centre (15 of 15). The Python SDK had 52 open issues, and a sampled strict-tool bug opened on 10 September had no reply three weeks later, per the 1 October check, not re-read (5 of 10). Current official SDKs, Python `anthropic` 2.3.0 and TypeScript `sdk-v1.3.0`, both tagged 23 October, after new major versions (Python 2.0.0, TypeScript 1.0.0) on 21 October that send API version 2026-10-21 by default (15). Supported runtimes stated, Python 3.10 to 3.14 (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.\n- Azure OpenAI in Foundry Models (86): Model reading. GPT-6.1 Terra released on Azure on 26 October 2026 and a `gpt-chat-latest` preview of 7 October was added, after GPT-6.1 Sol on 29 September (30). GA models get a retirement date 18 months after launch, set at release and readable through the Models API, with at least 60 days' email and Service Health notice, and previews at least 30 days, so a GA retirement is known more than six months ahead (12 of 12). Many shutdown dates in the 90 days to 6 November, most of them previews or partner models, among them DeepSeek-R1 (13 August), MAI-Image-2 and 2e (15 August), model-router previews (30 August), MAI-Transcribe-1 (15 September), MAI-Image-2.5 previews (1 October), the 2025-03-20 audio models and sora-2 (15 October), a Cohere Command A Plus preview (16 October) and gpt-image-1 (23 October), each in the schedule with a replacement where one exists (4 of 8). The Foundry what's new page, still on August when read on 6 November, plus Microsoft Q\u0026A and paid support; no Azure OpenAI what's new was found (10 of 15). The SDKs are OpenAI's repositories, replies not sampled (5 of 10). Current official SDKs, `openai` 3.46.0 on PyPI (5 November) and 7.53.0 on npm, plus Microsoft's `@azure/openai` 2.0.0 companion (15). Supported runtimes stated, Python 3.9 or later and Node.js 20 or later, though `openai` 3.46.0 requires Python 3.10 (10).\n\n## Score by category\n\n| Category | Weight | Claude API | Azure OpenAI in Foundry Models | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 80 | Azure OpenAI in Foundry Models +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 87 | Claude API +3 |\n| Agent ergonomics | 13% (16.2 this run) | 95 | 98 | Azure OpenAI in Foundry Models +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 95 | Azure OpenAI in Foundry Models +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Claude API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 91 | 86 | Claude API +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 83 | Claude API +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **77.3 · BB** | **80 · A** | |\n\n## Facts side by side\n\n| Fact | Claude API | Azure OpenAI in Foundry Models |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Anthropic | Microsoft |\n| Hosted endpoint | `https://api.anthropic.com/v1/messages` | `https://\u003cresource\u003e.openai.azure.com/openai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Apache 2.0 (SDKs from the 21 October 2026 major versions; earlier versions MIT) | Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-30 | 2026-10-26 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | no date given | 2026-09-01 |\n| Customer content may train models | yes, with an opt-out | yes |\n| Terms restrict automated access | not found in the text | yes |\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 | yes | not found in the text |\n| Popularity | 3.9k stars | 454k npm/wk |\n| Agent reviews | 3.5/5 (4) | none |\n\n## What the same task costs\n\n| Task | Claude API | Azure OpenAI in Foundry Models |\n| --- | --- | --- |\n| Research a product and write a sourced report | $7.52 | $110 |\n| Build a small four-page website | $3.89 | $25.07 |\n| Find and fix a bug in a large codebase | $0.95 | $5.41 |\n\n## How the scores have moved\n\n### Claude API\n\n- -0.3 on 8 October 2026: checklist\n\n### Azure OpenAI in Foundry Models\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Claude API.** Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. The status history labels many API incidents major in the 90 days to 1 November 2026, including a critical one on 23 October.\n\n**Azure OpenAI in Foundry Models.** An OpenAI-compatible v1 API with a public OpenAPI spec, Entra ID roles in place of shared keys and FedRAMP High scope, with GPT-6 and GPT-6.1 at OpenAI's list prices on Global Standard. Access needs an Azure subscription with a card and a deployment per model, and a 29 September 2026 incident caused about six hours of failures in Sweden Central.\n\n## Before you call either\n\n### Claude API\n\n1. Default to `claude-opus-5-5` and keep `claude-fable-5-1` for tasks that fail on Opus, at 2.5 times the price\n2. Don't send `tool_choice` any or tool to Opus 5.5, Sonnet 5.5 or Fable 5.1. Use auto with `strict: true` on the tool\n3. Put `cache_control` on the system prompt and tool list. Reads cost 0.05x input on Opus 5.5\n4. Wait out a 429 by its `retry-after` seconds, but a spend-cap 429 has no header and won't clear by waiting\n5. Move off `claude-sonnet-4-5-20250929` before 2026-11-30. Retired ids fail, they don't redirect\n6. Moving from `claude-haiku-4-5-20251001` to `claude-haiku-5-5`, drop temperature, top_p, top_k, prefill and `budget_tokens`, which return 400\n7. Pin your SDK major or `anthropic-version` deliberately. SDK majors from 21 October send 2026-10-21, which rejects temperature, top_p and top_k on every model\n\n### Azure OpenAI in Foundry Models\n\n1. Point the OpenAI SDK at https://\u003cresource\u003e.openai.azure.com/openai/v1/ and pass the deployment name as `model`, not the model id\n2. Prefer Entra ID with the Cognitive Services OpenAI User role over the resource key, which opens the whole data plane\n3. On 429 wait for `retry-after-ms`, then back off with jitter. The OpenAI SDK retries twice by default\n4. Set `store: false` on Responses calls you don't need kept. Stored responses persist 30 days by default\n5. Keep remote MCP approvals on for servers you don't control. They're required by default\n\n## Questions\n\n### Which is better for AI agents, Claude API or Azure OpenAI in Foundry Models?\n\nAzure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude API's 77.3 (BB), and leads in 3 of 7 scored categories. Claude API leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Claude API and Azure OpenAI in Foundry Models need an API key?\n\nClaude API needs an API key. Azure OpenAI in Foundry Models takes an API key or an OAuth sign-in.\n\n### Can an agent call Claude API and Azure OpenAI in Foundry Models without installing anything?\n\nYes. Claude API has a hosted endpoint at https://api.anthropic.com/v1/messages and Azure OpenAI in Foundry Models at https://\u003cresource\u003e.openai.azure.com/openai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"anthropic-api\", \"b\": \"azure-openai\"}`. From a terminal: `anchor compare anthropic-api azure-openai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/anthropic-api.json and https://www.anchorterminal.com/api/v1/tools/azure-openai.json\n\n## Other comparisons with Claude API or Azure OpenAI in Foundry Models\n\n- [Amazon Bedrock vs Claude API](https://www.anchorterminal.com/compare/amazon-bedrock-vs-anthropic-api.md)\n- [Amazon Bedrock vs Azure OpenAI in Foundry Models](https://www.anchorterminal.com/compare/amazon-bedrock-vs-azure-openai.md)\n- [Claude API vs Antseed](https://www.anchorterminal.com/compare/anthropic-api-vs-antseed.md)\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Cerebras Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.md)\n- [Claude API vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-ai-gateway.md)\n- [Claude API vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.md)\n- [Claude API vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.md)\n- [Claude API vs DeepInfra](https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.md)\n- [Claude API vs DeepSeek API](https://www.anchorterminal.com/compare/anthropic-api-vs-deepseek-api.md)\n- [Claude API vs Eden AI](https://www.anchorterminal.com/compare/anthropic-api-vs-eden-ai.md)\n- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)\n- [Claude API vs Fireworks AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-fireworks-inference.md)\n- [Claude API vs Gemini Developer API](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.md)\n- [Claude API vs GroqCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-groq.md)\n- [Claude API vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/anthropic-api-vs-hugging-face-inference-providers.md)\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Claude API vs MiniMax API](https://www.anchorterminal.com/compare/anthropic-api-vs-minimax-api.md)\n- [Claude API vs Mistral AI API](https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.md)\n- [Claude API vs Muse Spark Open](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.md)\n- [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md)\n- [Claude API vs Novita AI](https://www.anchorterminal.com/compare/anthropic-api-vs-novita-ai.md)\n- [Claude API vs OpenAI API](https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api.md)\n- [Claude API vs OpenRouter](https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.md)\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Claude API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router.md)\n- [Claude API vs Beam 1.0](https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.md)\n- [Claude API vs RouterPlus](https://www.anchorterminal.com/compare/anthropic-api-vs-routerplus.md)\n- [Claude API vs SambaCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova.md)\n- [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md)\n- [Claude API vs Simplismart](https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.md)\n- [Claude API vs StepFun API](https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.md)\n- [Claude API vs SWE-2 Flash](https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash.md)\n- [Claude API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub.md)\n- [Claude API vs Together AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.md)\n- [Claude API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway.md)\n- [Claude API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.md)\n- [Claude API vs xAI API (Grok)](https://www.anchorterminal.com/compare/anthropic-api-vs-xai-api.md)\n- [Antseed vs Azure OpenAI in Foundry Models](https://www.anchorterminal.com/compare/antseed-vs-azure-openai.md)\n- [Azure OpenAI in Foundry Models vs BlockRun.AI](https://www.anchorterminal.com/compare/azure-openai-vs-blockrun-ai.md)\n- [Azure OpenAI in Foundry Models vs Cerebras Inference](https://www.anchorterminal.com/compare/azure-openai-vs-cerebras-inference.md)\n- [Azure OpenAI in Foundry Models vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-ai-gateway.md)\n- [Azure OpenAI in Foundry Models vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.md)\n- [Azure OpenAI in Foundry Models vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/azure-openai-vs-cohere-chat.md)\n- [Azure OpenAI in Foundry Models vs DeepInfra](https://www.anchorterminal.com/compare/azure-openai-vs-deepinfra.md)\n- [Azure OpenAI in Foundry Models vs DeepSeek API](https://www.anchorterminal.com/compare/azure-openai-vs-deepseek-api.md)\n- [Azure OpenAI in Foundry Models vs Eden AI](https://www.anchorterminal.com/compare/azure-openai-vs-eden-ai.md)\n- [Azure OpenAI in Foundry Models vs Glimpse](https://www.anchorterminal.com/compare/azure-openai-vs-elorian-glimpse.md)\n- [Azure OpenAI in Foundry Models vs Fireworks AI Inference](https://www.anchorterminal.com/compare/azure-openai-vs-fireworks-inference.md)\n- [Azure OpenAI in Foundry Models vs Gemini Developer API](https://www.anchorterminal.com/compare/azure-openai-vs-gemini-api.md)\n- [Azure OpenAI in Foundry Models vs GroqCloud](https://www.anchorterminal.com/compare/azure-openai-vs-groq.md)\n- [Azure OpenAI in Foundry Models vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/azure-openai-vs-hugging-face-inference-providers.md)\n- [Azure OpenAI in Foundry Models vs Inkling 2 Small](https://www.anchorterminal.com/compare/azure-openai-vs-inkling-2-small.md)\n- [Azure OpenAI in Foundry Models vs Jais 3](https://www.anchorterminal.com/compare/azure-openai-vs-jais-3.md)\n- [Azure OpenAI in Foundry Models vs Meta Model API](https://www.anchorterminal.com/compare/azure-openai-vs-meta-model-api.md)\n- [Azure OpenAI in Foundry Models vs MiniMax API](https://www.anchorterminal.com/compare/azure-openai-vs-minimax-api.md)\n- [Azure OpenAI in Foundry Models vs Mistral AI API](https://www.anchorterminal.com/compare/azure-openai-vs-mistral-api.md)\n- [Azure OpenAI in Foundry Models vs Muse Spark Open](https://www.anchorterminal.com/compare/azure-openai-vs-muse-spark-open.md)\n- [Azure OpenAI in Foundry Models vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/azure-openai-vs-nemotron-3-5-super-vl.md)\n- [Azure OpenAI in Foundry Models vs Novita AI](https://www.anchorterminal.com/compare/azure-openai-vs-novita-ai.md)\n- [Azure OpenAI in Foundry Models vs OpenAI API](https://www.anchorterminal.com/compare/azure-openai-vs-openai-api.md)\n- [Azure OpenAI in Foundry Models vs OpenRouter](https://www.anchorterminal.com/compare/azure-openai-vs-openrouter.md)\n- [Azure OpenAI in Foundry Models vs Prism Inference](https://www.anchorterminal.com/compare/azure-openai-vs-prism-inference.md)\n- [Azure OpenAI in Foundry Models vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/azure-openai-vs-ramp-router.md)\n- [Azure OpenAI in Foundry Models vs Beam 1.0](https://www.anchorterminal.com/compare/azure-openai-vs-reflection-beam.md)\n- [Azure OpenAI in Foundry Models vs RouterPlus](https://www.anchorterminal.com/compare/azure-openai-vs-routerplus.md)\n- [Azure OpenAI in Foundry Models vs SambaCloud](https://www.anchorterminal.com/compare/azure-openai-vs-sambanova.md)\n- [Azure OpenAI in Foundry Models vs SiliconFlow](https://www.anchorterminal.com/compare/azure-openai-vs-siliconflow.md)\n- [Azure OpenAI in Foundry Models vs Simplismart](https://www.anchorterminal.com/compare/azure-openai-vs-simplismart.md)\n- [Azure OpenAI in Foundry Models vs StepFun API](https://www.anchorterminal.com/compare/azure-openai-vs-stepfun-api.md)\n- [Azure OpenAI in Foundry Models vs SWE-2 Flash](https://www.anchorterminal.com/compare/azure-openai-vs-swe-2-flash.md)\n- [Azure OpenAI in Foundry Models vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/azure-openai-vs-tencent-tokenhub.md)\n- [Azure OpenAI in Foundry Models vs Together AI Inference](https://www.anchorterminal.com/compare/azure-openai-vs-together-inference.md)\n- [Azure OpenAI in Foundry Models vs Vercel AI Gateway](https://www.anchorterminal.com/compare/azure-openai-vs-vercel-ai-gateway.md)\n- [Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai.md)\n- [Azure OpenAI in Foundry Models vs xAI API (Grok)](https://www.anchorterminal.com/compare/azure-openai-vs-xai-api.md)\n\n## Disclosure\n\n- Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and re-checked on 15 October 2026 with every judgement call written in the note. Since that date the panel reviews it too, at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.\n",
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    "published": "2026-10-01",
    "section": "tools",
    "title": "Claude vs Azure OpenAI in Foundry Models for AI agents (2026)",
    "toc": null,
    "updated": "2026-11-07",
    "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai"
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