Production Mistral integrations — Large 3, Medium 3.5, Small 4, Codestral, Devstral 2, OCR 3, and Voxtral TTS.
Fremen Consulting integrates Mistral AI into products and workflows — Mistral Large 3, Medium 3.5, and Small 4 for chat and reasoning, Ministral 3 8B for edge and low-latency workloads, Codestral and Devstral 2 for code and agentic development, OCR 3 for document extraction, and Voxtral TTS for voice — via La Plateforme API or self-hosted deployment with multi-provider routing alongside OpenAI and Anthropic.
Problems we solve for businesses like yours
Teams standardize on OpenAI or Anthropic without a fallback — when APIs rate-limit, change pricing, or miss capability gaps, production features stall with no alternative model to route to.
Running Mistral Large 3 for simple classification or using chat models for document OCR and voice when OCR 3, Voxtral TTS, or Ministral 3 8B are built for those tasks wastes budget and delivers worse results.
Ministral 3 8B and other open-weight Mistral models sit unused because there is no vLLM, Ollama, or cloud deployment pipeline — experiments never reach production inference endpoints.
Solutions tailored to your industry and growth goals
Mistral API integration for Mistral Large 3, Medium 3.5, and Small 4 — streaming, function calling, JSON mode, retry logic, token budgeting, and tiered routing from complex reasoning down to high-volume simple tasks.
Codestral for IDE assistants and code generation, Devstral 2 for agentic coding and long-horizon development sessions — integrated with tool use, repo context, and routing alongside GPT Codex or Claude.
OCR 3 for structured document extraction, scanned PDF parsing, and pipeline ingestion; Voxtral TTS for voice agents, narration, and multimodal products — with latency tuning and production observability.
Technologies and platforms we work with in this space
Measurable outcomes from projects in this space
Mistral Medium 3.5 and Small 4 added as routing tiers alongside OpenAI, reducing API spend by roughly 35% while Mistral Large 3 handles complex reasoning — with Codestral and Devstral 2 dedicated to engineering workflows.
Clear answers to common questions in this industry
We integrate Mistral via La Plateforme API and self-hosted deployment — Mistral Large 3, Medium 3.5, Small 4, and Ministral 3 8B for chat and reasoning; Codestral and Devstral 2 for code and agentic development; OCR 3 for document extraction; and Voxtral TTS for voice — plus LangChain orchestration, RAG pipelines, and multi-provider routing with OpenAI and Anthropic.
Mistral Large 3 for complex reasoning and long-context tasks. Medium 3.5 for balanced quality and cost. Small 4 and Ministral 3 8B for high-volume, low-latency, or edge workloads. Codestral for code completion; Devstral 2 for agentic coding sessions. OCR 3 for document parsing; Voxtral TTS for text-to-speech and voice products. We implement routing logic so each request hits the right model.
Mistral suits teams wanting competitive quality at lower cost, European data residency options, or specialized models like OCR 3 and Voxtral TTS in one platform. We often route simpler tasks to Mistral Small 4 or Medium 3.5 while reserving OpenAI GPT 5.5 or Claude Opus 4.8 for the hardest reasoning — or use Mistral as failover when primary providers rate-limit.
Yes. We integrate Codestral for IDE plugins, code review, and inline generation; Devstral 2 for long-running agentic coding workflows — often alongside GPT Codex or Claude Fable 5 with routing based on language, repo size, and session length.
Yes. We deploy Ministral 3 8B and other open-weight Mistral models with vLLM, Ollama, or cloud GPU instances on AWS and GCP — enabling private inference, edge deployment, and full control over model versions and data flow.
Tell us about your business and goals. We will recommend the right approach for your industry, timeline, and budget.