{"id":"mistral-api","name":"Mistral AI API","homepage":"https://docs.mistral.ai","repo_url":"https://github.com/mistralai/client-python","category":"ai-ml","subcategories":["llm","text-generation","embeddings","european-ai","open-weights"],"tags":["mistral","llm","open-weights","european","text-generation","embeddings","function-calling","rest-api","sdk"],"what_it_does":"French AI company offering efficient, open-weight LLM models with strong performance-to-cost ratio. Mistral Large (flagship), Mistral Small, and specialized models for code, math, and embeddings via API and self-hosting.","use_cases":["Cost-efficient LLM inference for high-volume agent applications","European data residency-compliant AI for GDPR-sensitive workflows","Open-weight model deployment for on-premises or VPC agent infrastructure","Function calling and tool use for agentic workflows","Code generation with Codestral (specialized coding model)"],"not_for":["Multimodal applications requiring image understanding","Real-time voice and audio processing","Applications needing the very largest context windows (vs Claude/Gemini)","Organizations that need US-only data residency"],"best_when":"An agent needs high-quality, cost-efficient LLM capabilities with European data sovereignty, open-weight model options, or strong coding performance via Codestral.","avoid_when":"You need multimodal capabilities or very large context windows (>32K).","alternatives":["openai-api","anthropic-api","cohere-api","ai21-api"],"af_score":84.8,"security_score":null,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:05.954299+00:00","performance":{"latency_p50_ms":300,"latency_p99_ms":1500,"uptime_sla_percent":99.9,"rate_limits":"Variable by plan; free tier limited, paid tier generous","data_source":"llm_estimated","measured_on":null}}