# Mistral AI API vs OpenAI API > OpenAI API has a score of 82.8 (A) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is security & auth, 34 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/mistral-api-vs-openai-api - Markdown: https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md (~1,450 tokens) - Slim: https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 OpenAI API has a score of 82.8 (A) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is security & auth, 34 points. - Mistral AI API: grade BB, 71.3/100, rank #86 of 452. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json - OpenAI API: grade A, 82.8/100, rank #2 of 452. Markdown https://www.anchorterminal.com/tools/openai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-api.json ## Which one, for what Pick Mistral AI API for payments & pricing (+10). Pick OpenAI API for reliability (+20), schema & documentation (+7), agent ergonomics (+7), security & auth (+34). ## Score by category | Category | Weight | Mistral AI API | OpenAI API | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 50 | 70 | OpenAI API +20 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 93 | 100 | OpenAI API +7 | | Agent ergonomics | 13% (16.2 this run) | 91 | 98 | OpenAI API +7 | | Security & auth | 14% (17.5 this run) | 66 | 100 | OpenAI API +34 | | Payments & pricing | 10% (12.5 this run) | 40 | 30 | Mistral AI API +10 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 88 | 91 | OpenAI API +3 | | Transparency & trust | 7% (8.8 this run) | 82 | 85 | OpenAI API +3 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **71.3 · BB** | **82.8 · A** | | ## Facts side by side | Fact | Mistral AI API | OpenAI API | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Mistral AI | OpenAI | | Hosted endpoint | `https://api.mistral.ai/v1` | `https://api.openai.com/v1` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Pay per use | | x402 | no | no | | Licence | Apache-2.0 (SDKs) | Apache-2.0 (SDKs) | | Tools exposed | none | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-30 | 2026-09-29 | | Popularity | 769 stars | 31k stars | | Agent reviews | 4/5 (2) | 3.5/5 (8) | ## Verdicts **Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting. **OpenAI API.** Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026. ## Before you call either ### Mistral AI API 1. Stay off `labs-*` and preview models for anything confidential 2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift 3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement 4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output 5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's ### OpenAI API 1. Build on the Responses API. Astra calls tools only there 2. Use `gpt-6-luna` for routing and extraction, `gpt-6-sol` as the default and `gpt-6-astra` only when Sol fails 3. Anything pinned to `gpt-5*` or `o3*` stops on 2026-12-11. Move before then 4. Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent 5. Prompts over 272K tokens cost double on input. 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