{ "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": "2026-11-07", "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" }, "tool": { "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": 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" ], "breakdown": [ { "key": "reliability", "name": "Reliability", "weight": 16, "effectiveWeight": 20, "score": 80, "points": 16, "reason": "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).", "checked": "2026-11-06" }, { "key": "performance", "name": "Performance", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes." }, { "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "effectiveWeight": 16.25, "score": 87, "points": 14.14, "reason": "OpenAPI 3.2 spec for the v1 data plane in Azure/azure-rest-api-specs (`azure-v1-v1-generated.json`, 71 paths and 852 schemas), linked from the v1 API page (25). No llms.txt at learn.microsoft.com (404). Learn pages offer Copy Markdown and the Markdown sources are public in MicrosoftDocs/azure-ai-docs, last merged 5 October (5 of 10). The models page lists each model's capabilities, context and API support, but the model choice guide, dated 19 May 2026, doesn't cover GPT-6 (15 of 20). Structured outputs with `strict: true` on schemas and function tools, though not together with parallel function calls (15). Examples in Python, C#, JavaScript, Go, Java and REST, and an error table on the quotas page with a fix for 429 and other codes (15). The v1 path replaces monthly `api-version` values, with preview capabilities opted into by header, a dated API version changelog and dated model versions. On 6 November the Foundry what's new still covered August, though updated on 5 November, and no Azure OpenAI what's new was found at learn.microsoft.com/en-us/azure/foundry/openai/whats-new, which answered 404 (12 of 15).", "checked": "2026-11-06" }, { "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "effectiveWeight": 16.25, "score": 98, "points": 15.93, "reason": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use with parallel calls and a forced call by naming the function in `tool_choice`, 18 of 20 because `gpt-6.1-sol` calls tools only through the Responses API (18). Strict structured outputs (15). Prompt caching from 1,024 tokens, cached input at 0.1x on GPT-6 ($1 per million on Astra) and cache writes at 1.25x from GPT-5.6 on, with explicit breakpoints (15). 1,050,000-token context on GPT-6 and GPT-6.1, input capped at 922,000 (15). Batch at 50% off Global Standard with a 24-hour target (10). The docs use OpenAI's own SDKs for Python, JavaScript, C#, Go and Java against the v1 endpoint (10). 429 and quota errors documented with retry headers (15). Calls name a deployment rather than a model, so each model must be deployed in the resource first, which the model checklist doesn't score.", "checked": "2026-11-06" }, { "key": "security", "name": "Security \u0026 auth", "weight": 14, "effectiveWeight": 17.5, "score": 95, "points": 16.63, "reason": "Model reading. Microsoft Entra ID tokens with Azure roles (the Cognitive Services OpenAI User role for calls), managed identities, and key authentication that can be disabled per resource, or two regenerable resource keys in the `api-key` header. No documented route puts the key in a URL query string (30). Prompts, completions, embeddings and training data aren't used to train foundation models without the customer's permission or instruction, per the data privacy page updated 4 August 2026 (20). Flagged prompts and completions may be stored in the customer's geography for human abuse review, with no retention period stated, and approved customers can turn that storage off through modified abuse monitoring. Responses API data is kept 30 days by default unless `store` is false (12 of 15). Azure Monitor resource logs and the subscription activity log, as read in the Foundry fine-tuning dossier (15). MSRC coordinated disclosure policy and Microsoft's bounty programme, both named in microsoft.com's security.txt, and Azure OpenAI is listed in FedRAMP High and DoD IL2 scope in Azure public regions. The security.txt passed its Expires date on 2026-09-23 and was still expired on 6 November, which the Bedrock and S3 dossiers mark down by 2, applied here too (18 of 20, down from 20 on 6 October for consistency).", "checked": "2026-11-06" }, { "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "effectiveWeight": 12.5, "score": 20, "points": 2.5, "reason": "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).", "checked": "2026-11-06" }, { "key": "tasks", "name": "Task success", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored." }, { "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "effectiveWeight": 8.75, "score": 86, "points": 7.53, "reason": "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).", "checked": "2026-11-06" }, { "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "effectiveWeight": 8.75, "score": 83, "points": 7.26, "note": "editorial 77, provenance 88", "reason": "Closed service under the Microsoft Product Terms, with the v1 spec under MIT and the OpenAI SDKs under Apache-2.0 (15). The data privacy page agrees with the product terms on no training and states where data is processed and stored by deployment type, but gives no retention period for the human-review store and sits beside a 30-day default for Responses data (24 of 30). A published lifecycle policy and a retirement schedule with dates and replacements, but on 6 November the schedule listed `gpt-realtime-mini` 2025-10-06 and 2025-12-15 twice each with different retirement dates, and no GPT-6 model yet (18 of 20, down from 20). Data locations stated for Standard, Data Zone and Global deployments, and a public sub-processor list per the 5 October Azure Speech check, not re-read (20).", "checked": "2026-11-06" } ], "assessment": { "date": "2026-11-06", "basis": "public evidence", "confidence": "medium", "notes": { "ergonomics": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use with parallel calls and a forced call by naming the function in `tool_choice`, 18 of 20 because `gpt-6.1-sol` calls tools only through the Responses API (18). Strict structured outputs (15). Prompt caching from 1,024 tokens, cached input at 0.1x on GPT-6 ($1 per million on Astra) and cache writes at 1.25x from GPT-5.6 on, with explicit breakpoints (15). 1,050,000-token context on GPT-6 and GPT-6.1, input capped at 922,000 (15). Batch at 50% off Global Standard with a 24-hour target (10). The docs use OpenAI's own SDKs for Python, JavaScript, C#, Go and Java against the v1 endpoint (10). 429 and quota errors documented with retry headers (15). Calls name a deployment rather than a model, so each model must be deployed in the resource first, which the model checklist doesn't score.", "maintenance": "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).", "payments": "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).", "reliability": "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).", "schema": "OpenAPI 3.2 spec for the v1 data plane in Azure/azure-rest-api-specs (`azure-v1-v1-generated.json`, 71 paths and 852 schemas), linked from the v1 API page (25). No llms.txt at learn.microsoft.com (404). Learn pages offer Copy Markdown and the Markdown sources are public in MicrosoftDocs/azure-ai-docs, last merged 5 October (5 of 10). The models page lists each model's capabilities, context and API support, but the model choice guide, dated 19 May 2026, doesn't cover GPT-6 (15 of 20). Structured outputs with `strict: true` on schemas and function tools, though not together with parallel function calls (15). Examples in Python, C#, JavaScript, Go, Java and REST, and an error table on the quotas page with a fix for 429 and other codes (15). The v1 path replaces monthly `api-version` values, with preview capabilities opted into by header, a dated API version changelog and dated model versions. On 6 November the Foundry what's new still covered August, though updated on 5 November, and no Azure OpenAI what's new was found at learn.microsoft.com/en-us/azure/foundry/openai/whats-new, which answered 404 (12 of 15).", "security": "Model reading. Microsoft Entra ID tokens with Azure roles (the Cognitive Services OpenAI User role for calls), managed identities, and key authentication that can be disabled per resource, or two regenerable resource keys in the `api-key` header. No documented route puts the key in a URL query string (30). Prompts, completions, embeddings and training data aren't used to train foundation models without the customer's permission or instruction, per the data privacy page updated 4 August 2026 (20). Flagged prompts and completions may be stored in the customer's geography for human abuse review, with no retention period stated, and approved customers can turn that storage off through modified abuse monitoring. Responses API data is kept 30 days by default unless `store` is false (12 of 15). Azure Monitor resource logs and the subscription activity log, as read in the Foundry fine-tuning dossier (15). MSRC coordinated disclosure policy and Microsoft's bounty programme, both named in microsoft.com's security.txt, and Azure OpenAI is listed in FedRAMP High and DoD IL2 scope in Azure public regions. The security.txt passed its Expires date on 2026-09-23 and was still expired on 6 November, which the Bedrock and S3 dossiers mark down by 2, applied here too (18 of 20, down from 20 on 6 October for consistency).", "transparency": "Closed service under the Microsoft Product Terms, with the v1 spec under MIT and the OpenAI SDKs under Apache-2.0 (15). The data privacy page agrees with the product terms on no training and states where data is processed and stored by deployment type, but gives no retention period for the human-review store and sits beside a 30-day default for Responses data (24 of 30). A published lifecycle policy and a retirement schedule with dates and replacements, but on 6 November the schedule listed `gpt-realtime-mini` 2025-10-06 and 2025-12-15 twice each with different retirement dates, and no GPT-6 model yet (18 of 20, down from 20). Data locations stated for Standard, Data Zone and Global deployments, and a public sub-processor list per the 5 October Azure Speech check, not re-read (20)." }, "sources": [ { "what": "status history and post-incident reviews", "url": "https://azure.status.microsoft/en-us/status/history/", "seen": "2026-11-06" }, { "what": "v1 API and API version changelog", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/api-version-lifecycle", "seen": "2026-10-06" }, { "what": "v1 OpenAPI spec", "url": "https://raw.githubusercontent.com/Azure/azure-rest-api-specs/main/specification/ai/data-plane/OpenAI.v1/azure-v1-v1-generated.json", "seen": "2026-10-06" }, { "what": "Foundry Models sold by Azure", "url": "https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure", "seen": "2026-11-06" }, { "what": "quotas, limits and quota tiers", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/quotas-limits", "seen": "2026-10-06" }, { "what": "quota management, rate-limit headers and retry guidance", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/quota", "seen": "2026-10-06" }, { "what": "lifecycle and support policy", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirements", "seen": "2026-10-06" }, { "what": "model retirement schedule", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule", "seen": "2026-11-06" }, { "what": "data, privacy and security", "url": "https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/data-privacy", "seen": "2026-11-06" }, { "what": "Responses API, storage and remote MCP approvals", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses", "seen": "2026-10-06" }, { "what": "prompt caching", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching", "seen": "2026-10-06" }, { "what": "structured outputs", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/structured-outputs", "seen": "2026-10-06" }, { "what": "batch", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch", "seen": "2026-10-06" }, { "what": "supported languages and SDK versions", "url": "https://learn.microsoft.com/en-us/azure/foundry/openai/supported-languages", "seen": "2026-10-06" }, { "what": "Retail Prices API, GPT6 meters in East US 2", "url": "https://prices.azure.com/api/retail/prices?$filter=armRegionName%20eq%20'eastus2'%20and%20contains(productName,'GPT6')", "seen": "2026-11-06" }, { "what": "pricing page (prices pending, JavaScript table)", "url": "https://azure.microsoft.com/en-us/pricing/details/azure-openai/", "seen": "2026-10-06" }, { "what": "Online Services SLA page", "url": "https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services", "seen": "2026-10-06" }, { "what": "FedRAMP and DoD audit scope", "url": "https://learn.microsoft.com/en-us/azure/azure-government/compliance/azure-services-in-fedramp-auditscope", "seen": "2026-10-06" }, { "what": "microsoft.com security.txt", "url": "https://www.microsoft.com/.well-known/security.txt", "seen": "2026-11-06" }, { "what": "Foundry what's new, August 2026", "url": "https://learn.microsoft.com/en-us/azure/foundry/whats-new-foundry", "seen": "2026-11-06" }, { "what": "docs Markdown sources", "url": "https://github.com/MicrosoftDocs/azure-ai-docs", "seen": "2026-10-06" }, { "what": "openai on PyPI", "url": "https://pypi.org/pypi/openai/json", "seen": "2026-11-06" }, { "what": "@azure/openai on npm", "url": "https://registry.npmjs.org/@azure/openai/latest", "seen": "2026-11-06" } ], "openQuestions": [ "Changed since 6 October 2026 (rechecked 6 November). GPT-6.1 Terra (26 October) and a `gpt-chat-latest` preview (7 October) added; GPT-6.1 Sol and Terra meters now in the Retail Prices API, closing the 6 October question; no new incident naming Azure OpenAI; security.txt still expired, now scored 18 of 20 as in the Bedrock dossier (security 97 to 95); duplicate, conflicting rows in the retirement schedule (transparency 79 to 77); `gpt-4o` 2024-05-13 and the `gpt-4.1` family retire later than on 6 October", "unchecked: the Online Services SLA document, which answered with an HTML page instead of the .docx on 6 October. The SLA line rests on the models page's statement and its link", "The input-token threshold between short-context and long-context GPT-6 pricing is on the pricing page, which needs JavaScript", "How long flagged prompts and completions stay in the human-review abuse store. The data privacy and abuse monitoring pages don't say", "The GPT-6 models aren't in the retirement schedule yet, so their retirement dates weren't seen", "unchecked: the v1 spec's last change date (the GitHub API wasn't available to us)", "unchecked: the sub-processor list, SOC 2 and ISO 27001 reports, per the 5 October Azure Speech check, not re-read", "Which `gpt-realtime-mini` retirement date applies, since the schedule lists 2025-10-06 on both 2027-04-06 and 2026-09-21, and 2025-12-15 on both 2027-06-15 and 2026-12-15", "The supported-languages page said Python 3.9 or later on 6 October, while `openai` 3.46.0 requires Python 3.10; the page wasn't re-read on 6 November" ] }, "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 }, "scoreHistory": [ { "date": "2026-11-06", "grade": "A", "kind": "listed", "method": "0.7", "score": 80 } ] }, "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" ], "notable": [ "The v1 API (GA) takes the OpenAI client with `base_url` set to https://\u003cresource\u003e.openai.azure.com/openai/v1/, with no monthly `api-version`, and preview capabilities opt in by header (https://learn.microsoft.com/en-us/azure/foundry/openai/api-version-lifecycle)", "GPT-6 Astra (2026-09-03), GPT-6 Sol and Luna (2026-09-22), GPT-6.1 Sol (2026-09-29) and GPT-6.1 Terra (2026-10-26) are listed, with GPT-6.1 Sol calling tools through the Responses API only. A `gpt-chat-latest` preview of 2026-10-07 was added (https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure)", "The same resource serves models from DeepSeek, Meta, Mistral AI, Moonshot AI, Cohere, Microsoft and xAI (listed as SpaceXAI), several of them open-weight, many still in preview (https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure?pivots=azure-direct-others)", "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 notice; previews get 30 days (https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirements)", "Remote MCP servers work as a tool in the Responses API and ask for approval before data is sent unless `require_approval` is set to never (https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses)", "Azure OpenAI is listed in FedRAMP High and DoD IL2 audit scope in Azure public regions (https://learn.microsoft.com/en-us/azure/azure-government/compliance/azure-services-in-fedramp-auditscope)", "The retirement schedule lists `gpt-realtime-mini` 2025-10-06 twice, with retirement on 2027-04-06 and on 2026-09-21, and 2025-12-15 twice, on 2027-06-15 and 2026-12-15. No GPT-6 or GPT-6.1 model appears in it yet (https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule, read 2026-11-06)" ], "area": "models", "details": [ { "label": "Surface listed", "value": "Inference on the v1 data plane of an Azure OpenAI or Foundry resource (Responses, Chat Completions, embeddings, batch) for Foundry Models sold by Azure. Fine-tuning is the azure-foundry-fine-tuning listing and Prompt Shields is azure-ai-content-safety. Read from Microsoft Learn, the Retail Prices API and the Azure status history on 6 November 2026; no subscription was made" }, { "label": "Endpoint", "value": "Per resource, https://\u003cresource\u003e.openai.azure.com/openai/v1/, OpenAI-compatible. Models are called by deployment name" }, { "label": "Free tier", "value": "A Free quota tier exists, but an Azure subscription needs a payment method" }, { "label": "Trains on API data", "value": "No, not without the customer's permission or instruction" }, { "label": "Data retention", "value": "Models are stateless. Flagged prompts may be stored for human abuse review, period not stated. Responses API data kept 30 days by default unless `store` is false" }, { "label": "Zero data retention", "value": "Modified abuse monitoring by application, which turns off storage for human review" }, { "label": "Data location", "value": "Standard deployments process in the resource's geography, Data Zone within the EU or US, Global anywhere the model is deployed" }, { "label": "Rate limits", "value": "Quota tiers Free and 1 to 6. GPT-6 on Global Standard at Tier 1 is 1,000 RPM and 1,000,000 TPM per subscription and region" }, { "label": "MCP", "value": "Remote MCP tool in the Responses API, approval required by default" }, { "label": "Batch", "value": "50% off Global Standard, 24-hour target. A Flex tier at half price is metered for GPT-6 and GPT-6.1 from 1 October 2026" }, { "label": "Certifications", "value": "FedRAMP High and DoD IL2 scope in Azure public regions" } ], "models": [ { "id": "gpt-6-astra", "name": "GPT-6 Astra", "inputPer1M": 10, "outputPer1M": 50, "contextTokens": 1050000, "maxOutput": 128000, "released": "2026-09", "role": "flagship", "taskCosts": { "bugfix": 5.41, "research": 109.7, "website": 25.07 } }, { "id": "gpt-6-sol", "name": "GPT-6 Sol", "inputPer1M": 2, "outputPer1M": 10, "contextTokens": 1050000, "maxOutput": 128000, "released": "2026-09", "role": "default", "taskCosts": { "bugfix": 1.08, "research": 21.94, "website": 5.01 } }, { "id": "gpt-6-luna", "name": "GPT-6 Luna", "inputPer1M": 0.1, "outputPer1M": 0.5, "contextTokens": 1050000, "maxOutput": 128000, "released": "2026-09", "role": "fast", "taskCosts": { "bugfix": 0.05, "research": 1.1, "website": 0.25 } } ], "unitPrices": [ { "item": "GPT-6.1 Sol input, Global Standard", "unit": 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