{ "data": { "a": { "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", "markdownUrl": "https://www.anchorterminal.com/tools/azure-openai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/azure-openai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/azure-openai.json", "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": 1517, "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": "2026-11-08T12:32:58.920379175Z", "lastOk": false, "lastStatus": 0, "lastMs": 0, "lastNote": "DNS lookup failed", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 242, "samples30d": 383, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 0 }, { "date": "2026-11-07", "probes": 243, "ok": 0 }, { "date": "2026-11-08", "probes": 127, "ok": 0 } ], "outages": [ { "start": "2026-11-06T22:45:05.888142257Z", "end": "0001-01-01T00:00:00Z", "note": "DNS lookup failed" } ], "since": "0001-01-01T00:00:00Z" }, "versions": [ { "registry": "npm", "name": "@azure/openai", "version": "2.0.0", "seenAt": "2026-11-10T03:23:06.724432553Z" }, { "registry": "npm", "name": "openai", "version": "7.54.0", "seenAt": "2026-11-10T03:23:06.68407452Z" }, { "registry": "pypi", "name": "openai", "version": "3.48.0", "released": "2026-11-09", "seenAt": "2026-11-10T03:23:06.558991593Z" } ], "githubStars": 3113, "npmWeekly": 57338964, "pypiWeekly": 90984450, "securityTxt": { "url": "https://microsoft.com/.well-known/security.txt", "state": "valid", "expires": "2027-10-27T16:00:00.000Z", "checkedAt": "2026-11-10T16:08:22.681117444Z" }, "domain": { "domain": "microsoft.com", "registered": "1991-05-02", "source": "https://rdap.verisign.com/com/v1/domain/microsoft.com", "checkedAt": "2026-11-08T15:09:06.124899136Z" }, "pages": [ { "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-10T16:24:12.01876211Z", "changedAt": "2026-11-10T16:24:12.01876211Z", "fingerprint": "6c77af177ec4" } ], "github": { "repo": "azure/azure-rest-api-specs", "checkedAt": "2026-11-09T09:42:04.295813444Z", "stars": 3113, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-09T09:34:04Z", "openIssues": 1756, "openPRs": 314, "issuesOpened90d": 278, "issuesClosed90d": 909, "prsMerged90d": 1607, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-09T09:17:21Z" }, "replies": { "sampled": 25, "unanswered": 25 } }, "updatedAt": "2026-11-10T16:24:12.01876211Z" }, "streak": { "days": 0, "from": "2026-11-10", "down": true, "last": { "kind": "outage", "date": "2026-11-06", "what": "DNS lookup failed" }, "next": { "kind": "shutdown", "date": "2026-11-19", "what": "`o1`, `o1-pro`, `o3`, `o3-pro`, `o3-mini`, `o3-deep-research` and `o4-mini` retire, replaced by `gpt-5.6-sol` or `gpt-5.6-terra`", "source": "https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule" }, "best": 0 } }, "answer": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude Mythos 5.2's 76.1 (BB), and leads in 3 of 7 scored categories. Claude Mythos 5.2 leads on maintenance \u0026 community.", "b": { "slug": "claude-mythos-5-2", "name": "Claude Mythos 5.2", "vendor": "Anthropic", "vendorUrl": "https://www.anthropic.com", "kind": "model", "category": "inference", "summary": "Claude Mythos 5.2 is the same model as Claude Fable 5.2 without Fable's stronger cyber and biology safeguards, for organisations Anthropic verifies, with a 1M-token context, text and images in, at $8 and $40 per million tokens.", "url": "https://www.anchorterminal.com/tools/claude-mythos-5-2", "markdownUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json", "dns": "claude-mythos-5-2.grade.anchorterminal.com", "license": "Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service", "transports": [], "remoteUrl": "https://api.anthropic.com/v1", "packages": [], "auth": "api-key", "authNotes": "A Claude API key from the Console, sent as `x-api-key` or a bearer token with `anthropic-version`, per the Claude API listing. Access to claude-mythos-5-2 needs the organisation verified through one of Anthropic's programmes, the Cyber Verification Program or the Life Sciences Verification Program, applied for in a form and decided by Anthropic.", "pricing": "usage", "pricingNotes": "$8 per million input tokens, $40 output, cache writes $10 (5 minutes) or $16 (1 hour), cache reads $0.20, batch at half price, fast mode $16 and $80. Requires 30-day retention. Only after verification. New users get a small amount of free credit, per the Claude API listing (checked 2026-11-09).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on Anthropic's pricing page, which bills tokens to a Console account (checked 2026-11-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-09" }, "docsUrl": "https://platform.claude.com/docs/en/models/mythos-5-2/overview", "llmsTxt": "https://platform.claude.com/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "multimodal", "vision", "reasoning", "long-context", "tool-calling", "usage-priced", "card-required", "closed-source", "llms-txt", "new", "approval-required", "gated" ], "lastRelease": "2026-11-09", "graded": true, "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings 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": 76.1, "grade": "BB", "agentReady": true, "rank": 51, "ranked": true, "rankOf": 1517, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 95, "maintenance": 91, "payments": 20, "reliability": 60, "schema": 90, "security": 92, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-09" }, "negative": 0, "verdict": "Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.", "bestFor": "Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.", "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.", "strengths": [ "$8 input and $40 output per million tokens, 20% below Fable 5.1, with cache reads at 2.5% of input", "1M-token context and 128K output, text and images in", "On the Claude API, Bedrock, Google Cloud and Microsoft Foundry once the organisation is verified", "The Claude API's status page, per-model rate limits, SDKs in seven languages and 60-day retirement notice", "Retirement not before 9 November 2027, stated on the model page" ], "weaknesses": [ "Only for organisations Anthropic verifies, so an agent can't start on it alone", "Adaptive thinking is always on and can't be turned off", "Forced tool use (tool_choice any or tool) and sampling parameters return a 400", "Requires 30-day data retention and is outside zero data retention unless Anthropic authorises it", "Benchmark figures are Anthropic's own" ], "agentNotes": [ "Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2", "Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key", "Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k", "Don't force a tool with tool_choice any or tool; describe the tool and let the model choose", "Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context", "Check data retention before sending regulated data, since 30 days is required" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.1 } ], "editorialScores": { "ergonomics": 95, "maintenance": 91, "payments": 20, "reliability": 60, "schema": 90, "security": 92, "transparency": 75 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-09", "maintenance": "2026-11-09", "payments": "2026-11-09", "reliability": "2026-11-09", "schema": "2026-11-09", "security": "2026-11-09", "transparency": "2026-11-09" }, "last": "2026-11-09", "oldest": "2026-11-09", "stale": false, "staleAfterDays": 90 } }, "connect": { "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-mythos-5-2\",\"max_tokens\":1024,\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/claude-mythos-5-2" }, "sameCompany": [ "claude-agent-sdk", "claude-code" ], "sameModel": [ "anthropic-api", "claude-fable-5-2" ], "area": "models", "unitPrices": [ { "item": "Claude Mythos 5.2 input", "unit": "1m-tokens", "usd": 8, "note": "Fast mode $16" }, { "item": "Claude Mythos 5.2 cached input", "unit": "1m-tokens", "usd": 0.2, "note": "0.025x input; 5-minute write $10, 1-hour write $16" }, { "item": "Claude Mythos 5.2 output", "unit": "1m-tokens", "usd": 40, "note": "Fast mode $80" } ], "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": "2026-11-09", "notes": [ "Company and platform facts are the Claude API listing's (checked 1 November 2026): Anthropic, PBC, or Anthropic Ireland, Limited for the EEA, Switzerland and the UK, under the Commercial Terms; status page at status.claude.com; dated release notes; security.txt valid to 2026-12-31.", "www.anthropic.com's and platform.claude.com's robots.txt allow our reader on the pages read on 9 November (platform.claude.com disallows only /api/). domainRegistered is carried from the Claude API listing's RDAP reading." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.json", "live": { "slug": "claude-mythos-5-2", "probe": { "target": "https://api.anthropic.com/v1", "method": "get", "lastAt": "2026-11-10T17:29:33.239422059Z", "lastOk": true, "lastStatus": 404, "lastMs": 268, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 126, "p95ms24h": 201, "samples24h": 173, "samples30d": 173, "days": [ { "date": "2026-11-10", "probes": 173, "ok": 173 } ], "since": "2026-11-10T00:33:00.829119768Z" }, "vendorStatus": { "page": "https://status.claude.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-10T17:32:54.800280705Z" }, "securityTxt": { "url": "https://anthropic.com/.well-known/security.txt", "state": "valid", "expires": "2026-12-31T23:59:00.000Z", "checkedAt": "2026-11-10T16:07:43.984717176Z" }, "llmsTxt": { "url": "https://platform.claude.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:42:27.294195707Z" }, "updatedAt": "2026-11-10T17:32:54.800280705Z" }, "streak": { "days": 0, "from": "2026-11-10", "sinceWatching": true, "best": 0 } }, "edges": [ { "by": 20, "category": "reliability", "leads": "azure-openai", "name": "Reliability", "reasons": { "a": "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).", "b": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at status.claude.com with component history (20). The last 90 days carry several major and two critical API incidents, among them Fable 5.1 and Mythos 5.1 on 3 September and Fable 5.1 on 23 and 25 October, so 0 for incident history. Rate limits published per model, Fable 5.x at 4,000 requests a minute at the Start tier (15). 429s with `retry-after` and SDK retries with backoff (15). No SLA on sale (0). The model page lists it as a current model with no preview label (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by an agent running on Claude, by the same checklist as every other listing." }, "scores": { "a": 80, "b": 60 } }, { "by": 5, "category": "maintenance", "leads": "claude-mythos-5-2", "name": "Maintenance \u0026 community", "reasons": { "a": "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).", "b": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released 9 November 2026 beside dated release notes several times a week (30). 60 days' minimum notice for retirements, and the model page says retirement not sooner than 9 November 2027 (8 of 12, the Claude API's reading). Model shutdowns kept to notice (8). Support centre and dated notes (15). The sampled SDK issue without a reply, per the 1 October check (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91." }, "scores": { "a": 86, "b": 91 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Microsoft", "b": "Anthropic", "name": "Vendor" }, { "a": "https://\u003cresource\u003e.openai.azure.com/openai/v1", "b": "https://api.anthropic.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0", "b": "Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-26", "b": "2026-11-09", "name": "Last release" }, { "a": "no date given", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-09-01", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "yes", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "454k npm/wk", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude Mythos 5.2's 76.1 (BB), and leads in 3 of 7 scored categories. Claude Mythos 5.2 leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Azure OpenAI in Foundry Models or Claude Mythos 5.2?" }, { "answer": "Azure OpenAI in Foundry Models takes an API key or an OAuth sign-in. Claude Mythos 5.2 needs an API key.", "question": "Do Azure OpenAI in Foundry Models and Claude Mythos 5.2 need an API key?" }, { "answer": "Yes. Azure OpenAI in Foundry Models has a hosted endpoint at https://\u003cresource\u003e.openai.azure.com/openai/v1 and Claude Mythos 5.2 at https://api.anthropic.com/v1.", "question": "Can an agent call Azure OpenAI in Foundry Models and Claude Mythos 5.2 without installing anything?" } ], "goodFor": [ { "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" }, { "aheadOn": [ "Maintenance \u0026 community, 91 against 86" ], "also": null, "goodFor": "Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.", "slug": "claude-mythos-5-2", "watchFor": "Only for organisations Anthropic verifies, so an agent can't start on it alone" } ], "history": null, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "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/amazon-bedrock-vs-claude-mythos-5-2.json", "title": "Amazon Bedrock vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai.json", "title": "Claude API vs Azure OpenAI in Foundry Models", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-claude-mythos-5-2.json", "title": 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"https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.json", "title": "Claude Mythos 5.2 vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember.json", "title": "Claude Mythos 5.2 vs Muse Ember", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open.json", "title": "Claude Mythos 5.2 vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl.json", "title": "Claude Mythos 5.2 vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai.json", "title": "Claude Mythos 5.2 vs Novita AI", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api.json", "title": "Claude Mythos 5.2 vs OpenAI API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter.json", "title": "Claude Mythos 5.2 vs OpenRouter", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.json", "title": "Claude Mythos 5.2 vs Prism Inference", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router.json", "title": "Claude Mythos 5.2 vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam.json", "title": "Claude Mythos 5.2 vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus.json", "title": "Claude Mythos 5.2 vs RouterPlus", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova.json", "title": "Claude Mythos 5.2 vs SambaCloud", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow.json", "title": "Claude Mythos 5.2 vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart.json", "title": "Claude Mythos 5.2 vs Simplismart", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api.json", "title": "Claude Mythos 5.2 vs StepFun API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash.json", "title": "Claude Mythos 5.2 vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub.json", "title": "Claude Mythos 5.2 vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.json", "title": "Claude Mythos 5.2 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vercel-ai-gateway.json", "title": "Claude Mythos 5.2 vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vertex-ai.json", "title": "Claude Mythos 5.2 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-xai-api.json", "title": "Claude Mythos 5.2 vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-xai-api" } ], "panel": null, "scores": [ { "azure-openai": 80, "by": 20, "claude-mythos-5-2": 60, "edge": "azure-openai", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "azure-openai": 87, "by": 3, "claude-mythos-5-2": 90, "edge": "claude-mythos-5-2", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "azure-openai": 98, "by": 3, "claude-mythos-5-2": 95, "edge": "azure-openai", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "azure-openai": 95, "by": 3, "claude-mythos-5-2": 92, "edge": "azure-openai", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "azure-openai": 20, "by": 0, "claude-mythos-5-2": 20, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "azure-openai": 86, "by": 5, "claude-mythos-5-2": 91, "edge": "claude-mythos-5-2", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "azure-openai": 83, "by": 2, "claude-mythos-5-2": 85, "edge": "claude-mythos-5-2", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude Mythos 5.2's 76.1 (BB), and leads in 3 of 7 scored categories. Claude Mythos 5.2 leads on maintenance \u0026 community. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "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.", "claude-mythos-5-2": "Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2", "json": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2.min.md" }, "markdown": "Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude Mythos 5.2's 76.1 (BB), and leads in 3 of 7 scored categories. Claude Mythos 5.2 leads on maintenance \u0026 community. Both do llm inference.\n\n- Azure OpenAI in Foundry Models: grade A, 80/100, rank #14 of 1517. Markdown https://www.anchorterminal.com/tools/azure-openai.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-openai.json\n- Claude Mythos 5.2: grade BB, 76.1/100, rank #51 of 1517. Markdown https://www.anchorterminal.com/tools/claude-mythos-5-2.md · JSON https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 956 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\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### Claude Mythos 5.2 (BB)\n\nGood for: Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.\n\nAhead on:\n- Maintenance \u0026 community, 91 against 86\n\nWatch for: Only for organisations Anthropic verifies, so an agent can't start on it alone\n\n\n## Why the edge\n\n### Reliability: Azure OpenAI in Foundry Models +20\n\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- Claude Mythos 5.2 (60): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at status.claude.com with component history (20). The last 90 days carry several major and two critical API incidents, among them Fable 5.1 and Mythos 5.1 on 3 September and Fable 5.1 on 23 and 25 October, so 0 for incident history. Rate limits published per model, Fable 5.x at 4,000 requests a minute at the Start tier (15). 429s with `retry-after` and SDK retries with backoff (15). No SLA on sale (0). The model page lists it as a current model with no preview label (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by an agent running on Claude, by the same checklist as every other listing.\n\n### Maintenance \u0026 community: Claude Mythos 5.2 +5\n\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- Claude Mythos 5.2 (91): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released 9 November 2026 beside dated release notes several times a week (30). 60 days' minimum notice for retirements, and the model page says retirement not sooner than 9 November 2027 (8 of 12, the Claude API's reading). Model shutdowns kept to notice (8). Support centre and dated notes (15). The sampled SDK issue without a reply, per the 1 October check (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.\n\n## Score by category\n\n| Category | Weight | Azure OpenAI in Foundry Models | Claude Mythos 5.2 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 60 | 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) | 87 | 90 | Claude Mythos 5.2 +3 |\n| Agent ergonomics | 13% (16.2 this run) | 98 | 95 | Azure OpenAI in Foundry Models +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 95 | 92 | Azure OpenAI in Foundry Models +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 91 | Claude Mythos 5.2 +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 85 | Claude Mythos 5.2 +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **80 · A** | **76.1 · BB** | |\n\n## Facts side by side\n\n| Fact | Azure OpenAI in Foundry Models | Claude Mythos 5.2 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Microsoft | Anthropic |\n| Hosted endpoint | `https://\u003cresource\u003e.openai.azure.com/openai/v1` | `https://api.anthropic.com/v1` |\n| Transports | HTTP | |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0 | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-26 | 2026-11-09 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | 2026-09-01 | no date given |\n| Customer content may train models | yes | yes, with an opt-out |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 454k npm/wk | none |\n\n## Verdicts\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**Claude Mythos 5.2.** Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.\n\n## Before you call either\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### Claude Mythos 5.2\n\n1. Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2\n2. Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key\n3. Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k\n4. Don't force a tool with tool_choice any or tool; describe the tool and let the model choose\n5. Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context\n6. Check data retention before sending regulated data, since 30 days is required\n\n## Questions\n\n### Which is better for AI agents, Azure OpenAI in Foundry Models or Claude Mythos 5.2?\n\nAzure OpenAI in Foundry Models scores 80 (A) on agent readiness against Claude Mythos 5.2's 76.1 (BB), and leads in 3 of 7 scored categories. Claude Mythos 5.2 leads on maintenance \u0026 community.\n\n### Do Azure OpenAI in Foundry Models and Claude Mythos 5.2 need an API key?\n\nAzure OpenAI in Foundry Models takes an API key or an OAuth sign-in. Claude Mythos 5.2 needs an API key.\n\n### Can an agent call Azure OpenAI in Foundry Models and Claude Mythos 5.2 without installing anything?\n\nYes. Azure OpenAI in Foundry Models has a hosted endpoint at https://\u003cresource\u003e.openai.azure.com/openai/v1 and Claude Mythos 5.2 at https://api.anthropic.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2.json, and with the fewest tokens: https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"azure-openai\", \"b\": \"claude-mythos-5-2\"}`. From a terminal: `anchor compare azure-openai claude-mythos-5-2`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/azure-openai.json and https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json\n\n## Other comparisons with Azure OpenAI in Foundry Models or Claude Mythos 5.2\n\n- [Amazon Bedrock vs Azure OpenAI in Foundry Models](https://www.anchorterminal.com/compare/amazon-bedrock-vs-azure-openai.md)\n- [Amazon Bedrock vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/amazon-bedrock-vs-claude-mythos-5-2.md)\n- [Claude API vs Azure OpenAI in Foundry Models](https://www.anchorterminal.com/compare/anthropic-api-vs-azure-openai.md)\n- [Claude API vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/anthropic-api-vs-claude-mythos-5-2.md)\n- [Antseed vs Azure OpenAI in Foundry Models](https://www.anchorterminal.com/compare/antseed-vs-azure-openai.md)\n- [Antseed vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/antseed-vs-claude-mythos-5-2.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 Claude Fable 5.2](https://www.anchorterminal.com/compare/azure-openai-vs-claude-fable-5-2.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 Ember](https://www.anchorterminal.com/compare/azure-openai-vs-muse-ember.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- [BlockRun.AI vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2.md)\n- [Cerebras Inference vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-mythos-5-2.md)\n- [Claude Fable 5.2 vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-claude-mythos-5-2.md)\n- [Claude Mythos 5.2 vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-ai-gateway.md)\n- [Claude Mythos 5.2 vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai.md)\n- [Claude Mythos 5.2 vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cohere-chat.md)\n- [Claude Mythos 5.2 vs DeepInfra](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepinfra.md)\n- [Claude Mythos 5.2 vs DeepSeek API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepseek-api.md)\n- [Claude Mythos 5.2 vs Eden AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-eden-ai.md)\n- [Claude Mythos 5.2 vs Glimpse](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse.md)\n- [Claude Mythos 5.2 vs Fireworks AI Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.md)\n- [Claude Mythos 5.2 vs Gemini Developer API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-api.md)\n- [Claude Mythos 5.2 vs GroqCloud](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-groq.md)\n- [Claude Mythos 5.2 vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-hugging-face-inference-providers.md)\n- [Claude Mythos 5.2 vs Inkling 2 Small](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-inkling-2-small.md)\n- [Claude Mythos 5.2 vs Jais 3](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-jais-3.md)\n- [Claude Mythos 5.2 vs Meta Model API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-meta-model-api.md)\n- [Claude Mythos 5.2 vs MiniMax API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api.md)\n- [Claude Mythos 5.2 vs Mistral AI API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.md)\n- [Claude Mythos 5.2 vs Muse Ember](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember.md)\n- [Claude Mythos 5.2 vs Muse Spark Open](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open.md)\n- [Claude Mythos 5.2 vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl.md)\n- [Claude Mythos 5.2 vs Novita AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai.md)\n- [Claude Mythos 5.2 vs OpenAI API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api.md)\n- [Claude Mythos 5.2 vs OpenRouter](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter.md)\n- [Claude Mythos 5.2 vs Prism Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.md)\n- [Claude Mythos 5.2 vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router.md)\n- [Claude Mythos 5.2 vs Beam 1.0](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam.md)\n- [Claude Mythos 5.2 vs RouterPlus](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus.md)\n- [Claude Mythos 5.2 vs SambaCloud](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova.md)\n- [Claude Mythos 5.2 vs SiliconFlow](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow.md)\n- [Claude Mythos 5.2 vs Simplismart](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart.md)\n- [Claude Mythos 5.2 vs StepFun API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api.md)\n- [Claude Mythos 5.2 vs SWE-2 Flash](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash.md)\n- [Claude Mythos 5.2 vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub.md)\n- [Claude Mythos 5.2 vs Together AI Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.md)\n- [Claude Mythos 5.2 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vercel-ai-gateway.md)\n- [Claude Mythos 5.2 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vertex-ai.md)\n- [Claude Mythos 5.2 vs xAI API (Grok)](https://www.anchorterminal.com/compare/claude-mythos-5-2-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 an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Azure OpenAI in Foundry Models vs Claude Mythos 5.2", "url": "" } ], "description": "Azure OpenAI in Foundry Models scores 80 (A) to Claude Mythos 5.2's 76.1 (BB) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Azure OpenAI in Foundry Models A 80", "Claude Mythos 5.2 BB 76.1", "scores" ], "h1": "Azure OpenAI in Foundry Models vs Claude Mythos 5.2", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/azure-openai-vs-claude-mythos-5-2", "published": "2026-10-01", "section": "tools", "title": "Azure OpenAI in Foundry Models vs Claude Mythos 5.2 (2026)", "toc": null, "updated": "2026-11-09", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2" }, "tokens": { "markdown": 5750, "slim": 830 }, "version": 1 }