Pricing, Performance & Features Comparison
Devstral Medium 2507 is a high-performance, code-centric large language model designed for agentic coding capabilities and enterprise use. It features a 128k token context window and achieves a 61.6% score on SWE-Bench Verified, outperforming several commercial models like Gemini 2.5 Pro and GPT-4.1. The model excels at code generation, multi-file editing, and powering software engineering agents with structured outputs and tool integration.
Mistral-Nemo is a 12B-parameter transformer-based large language model jointly developed by Mistral AI and NVIDIA. It is trained on a substantial multilingual and code dataset, achieving superior performance over models of similar or smaller sizes. Notable features include a large 128k token context window, advanced instruction tuning, and robust function calling capabilities.