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.
Llama 3.1-8B-Instruct is an auto-regressive language model optimized for multilingual dialogue and instruction-following tasks. It employs supervised fine-tuning and reinforcement learning with human feedback to align with human preferences. The model supports a 128k token context and is suitable for generating text and code in multiple languages.