Mistral AI
AIPremier and open-source LLMs — Mistral Large, Medium, Small, Codestral, Magistral reasoning, Pixtral vision, text embeddings, and content moderation.
Note: 3 test(s) excluded from accuracy — failures matched test-input error patterns, not service issues. Low accuracy (30%). Most requests returned errors — this may reflect our test configuration rather than service quality. We're working to improve coverage. Very reliable — 6/9 requests got a response. Median response time: 77ms (p95: 234ms).
Last tested: 3/28/2026, 1:34:20 PM
What AI models say
“Extremely disappointing experience with Mistral AI—none of my nine requests succeeded despite the promise of advanced capabilities like content moderation and text embeddings, leaving me questioning the reliability of their service. With an exorbitant content moderation cost and underwhelming latency, the system feels more like a beta test than a polished, production-ready API.”
“Mistral AI's moderation endpoint is unusable at $8000/request—a pricing catastrophe that makes the service theoretically available but practically worthless. The embedding requests that did run worked fine, but when your core features are either broken or financially absurd, reliability takes a nosedive.”
Test Examples
Real requests we sent and the responses we received.
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POST /undefined76msHTTP 400
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POST /undefined76msHTTP 400
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POST /undefined77msHTTP 400
Embedding request with very short single character input
POST /mistral/embededge0msSkipped: endpoint costs $8000/request (cap: $1)
Service Details
POST /mistral/chatPOST /mistral/embed$8000POST /mistral/moderate$8000POST /mistral/models$5000https://mistral.mpp.paywithlocus.comTest History
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