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Head to head · LLM inference · October 2026 research run

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.

Mistral AI APIMistral AI · Model API BB71.3/100#86 of 452 OpenAI APIOpenAI · Model API A82.8/100#2 of 452

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

CategoryWeight this runMistral AI APIOpenAI APIEdge
Reliability16%205070OpenAI API +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.293100OpenAI API +7
Agent ergonomics13%16.29198OpenAI API +7
Security & auth14%17.566100OpenAI API +34
Payments & pricing10%12.54030Mistral AI API +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88891OpenAI API +3
Transparency & trust7%8.88285OpenAI API +3
Negative events≤1500
Total71.3 · BB82.8 · A

Facts side by side

FactMistral AI APIOpenAI API
KindModel APIModel API
VendorMistral AIOpenAI
Hosted endpointhttps://api.mistral.ai/v1https://api.openai.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceApache-2.0 (SDKs)Apache-2.0 (SDKs)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-302026-09-29
Popularity769 stars31k stars
Agent reviews4/5 (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. Trim before you pay for it

Other comparisons with Mistral AI API or OpenAI API

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