Mistral AI Releases Mistral Large 2.5 With Enhanced Coding and 128K Context

## Mistral Continues Rapid Iteration Mistral AI, the Paris-based AI startup valued at €5.8 billion, released Mistral Large 2.5 this week — the fourth major model update in 18 months, reflecting the company's strategy of rapid iteration rather than large infrequent releases. The model shows measurable improvements in coding benchmarks and features a standard 128K token context window. ## Benchmark Results On HumanEval coding benchmarks, Mistral Large 2.5 scores 88.3%, up from 84.1% in Mistral Large 2. On MATH-500, the model scores 89.2% (up from 85.7%). Multilingual performance on European languages — a historically strong point for Mistral — improves further, with particularly strong results in French, German, Italian, Spanish, and Polish. ## Pricing Mistral Large 2.5 is available via Mistral's La Plateforme API at €6 per million input tokens and €18 per million output tokens — approximately 20% less than comparable Claude 3.5 Sonnet and GPT-4o pricing. The company continues to position on price-performance rather than absolute performance leadership. ## Enterprise Focus The release comes alongside expanded enterprise features including an EU data residency option with data processing entirely within French data centers, FedRAMP-equivalent certification targeting European public sector customers, and extended rate limits for enterprise contracts. ## Strategic Context Mistral occupies an important position as the leading European AI foundation model company. Its open-weights releases (Mistral 7B, Mixtral 8×7B) have been widely adopted by the open-source community, while its commercial API serves European enterprises that prefer not to route data through US cloud providers.