Blog Research January 13, 2025 Mistral AI team Share this post Among all the innovations in AI over the past year, code generation has arguably been the most significant. Akin to how the assembly line streamlined manufacturing and the calculator transformed mathematics, coding models represent a significant step change in software development. Mistral AI has been at the forefront of this change with Codestral , a state of the art (SOTA) coding model released earlier this year. Lightweight, fast, and proficient in over 80 programming languages, Codestral is optimized for low-latency, high-frequency usecases and supports tasks such as fill-in-the-middle (FIM), code correction and test generation. Codestral has been used by thousands of developers as a highly capable coding companion, regularly boosting productivity several times over. And today, Codestral is getting a big upgrade. Codestral 25.01 features a more efficient architecture and an improved tokenizer than the original, generating and completing code about 2 times faster. The model is now the clear leader for coding in its weight class, and SOTA for FIM use cases across the board. Benchmarks We have benchmarked the new Codestral with the leading sub-100B parameter coding models that are widely considered to be best-in-class for FIM tasks. Overview Python SQL Average on several languages Model Context length HumanEval MBPP CruxEval LiveCodeBench RepoBench Spider CanItEdit HumanEval (average) HumanEvalFIM (average) Codestral-2501 256k 86.6% 80.2% 55.5% 37.9% 38.0% 66.5% 50.5% 71.4% 85.9% Codestral-2405 22B 32k 81.1% 78.2% 51.3% 31.5% 34.0% 63.5% 50.5% 65.6% 82.1% Codellama 70B instruct 4k 67.1% 70.8% 47.3% 20.0% 11.4% 37.0% 29.5% 55.3% - DeepSeek Coder 33B instruct 16k 77.4% 80.2% 49.5% 27.0% 28.4% 60.0% 47.6% 65.1% 85.3% DeepSeek Coder V2 lite 128k 83.5% 83.2% 49.7% 28.1% 20.0% 72.0% 41.0% 65.9% 84.1% Per-language Model HumanEval Python HumanEval C++ HumanEval Java HumanEval Javascript HumanEval Bash HumanEval Typescript HumanEval C# HumanEval (average) Codestral-2501 86.6% 78.9% 72.8% 82.6% 43.0% 82.4% 53.2% 71.4% Codestral-2405 22B 81.1% 68.9% 78.5% 71.4% 40.5% 74.8% 43.7% 65.6% Codellama 70B instruct 67.1% 56.5% 60.8% 62.7% 32.3% 61.0% 46.8% 55.3% DeepSeek Coder 33B instruct 77.4% 65.8% 73.4% 73.3% 39.2% 77.4% 49.4% 65.1% DeepSeek Coder V2 lite 83.5% 68.3% 65.2% 80.8% 34.2% 82.4% 46.8% 65.9% FIM (single line exact match) Model HumanEvalFIM Python HumanEvalFIM Java HumanEvalFIM JS HumanEvalFIM (average) Codestral-2501 80.2% 89.6% 87.96% 85.89% Codestral-2405 22B 77.0% 83.2% 86.08% 82.07% OpenAI FIM API* 80.0% 84.8% 86.5% 83.7% DeepSeek Chat API 78.8% 89.2% 85.78% 84.63% DeepSeek Coder V2 lite 78.7% 87.8% 85.90% 84.13% DeepSeek Coder 33B instruct 80.1% 89.0% 86.80% 85.3% FIM pass@1: Model HumanEvalFIM Python HumanEvalFIM Java HumanEvalFIM JS HumanEvalFIM (average) Codestral-2501 92.5% 97.1% 96.1% 95.3% Codestral-2405 22B 90.2% 90.1% 95.0% 91.8% OpenAI FIM API* 91.1% 91.8% 95.2% 92.7% DeepSeek Chat API 91.7% 96.1% 95.3% 94.4% * GPT 3.5 Turbo is the latest FIM API available from OpenAI Available starting today Codestral 25.01 is being rolled out to developers worldwide through our IDE / IDE plugin partners. You can feel the difference in response quality and speed for code completion by selecting Codestral 25.01 in their respective model selector. For enterprise use cases, especially ones that require data and model residency, Codestral 25.01 is available to deploy locally within your premises or VPC. Check out the demo below and try it for free in Continue for VS Code or JetBrains . * Codestral 25.01 Chat Demo Ty Dunn, co-founder of Continue, said “For AI code assistants, code completion constitutes a large portion of the work, which requires models that are great at fill-in-the-middle (FIM). Codestral 25.01 marks a significant advancement in this area. Mistral AI’s new model is capable of providing more precise suggestions, much faster—a critical component of accurate, efficient software development. This is why Codestral is our recommended autocomplete model for developers.” To build your own integration with the Codestral API, head over to la Plateforme and use codestral-latest. The API is also available on Google Cloud's Vertex AI, in private preview on Azure AI Foundry, and coming soon to Amazon Bedrock. To learn more, read the Codestral documentation . Codestral 25.01 is debuting at #1 on the LMsys copilot arena leaderboard. We can’t wait to hear your experience!