Mistral AI Performance Tuning Overview Optimize Mistral AI API response times and throughput. Key levers: model selection (Mistral Small 200ms TTFT vs Large 500ms), prompt length (fewer tokens = faster), streaming (perceived speed), caching (zero-latency repeats), and concurrent request management. Prerequisites - Mistral API integration in production - Understanding of RPM/TPM limits for your tier - Application architecture supporting streaming Instructions Step 1: Model Selection by Latency Budget Step 2: Streaming for User-Facing Responses Streaming reduces perceived latency from 1-2s (ful…