Devstral 2 Review: Mistral’s Agentic Coding Model (2026)
Devstral 2 is Mistral AI’s agentic coding model family, available in 123B (dense) and 24B (multimodal) variants. Designed for repository-scale reasoning and autonomous tool-use, Devstral 2 achieves 72.2% SWE-bench Verified—rivaling proprietary systems while remaining open-weight.
Key Features
Model Variants:
- Devstral 2 (123B): Flagship agentic model, 256k context, dense architecture
- Devstral Small 2 (24B): Apache 2.0 licensed, multimodal (vision), 68.0% SWE-bench
Technical Architecture:
- Dense Transformer: Coherent repo-wide reasoning (avoids MoE routing fragmentation)
- 256k Context: Ingests dozens of files, documentation, execution traces
- Tekken Tokenizer: Optimized for source code density
Mistral Vibe CLI:
- Native agentic interface with project-aware context scanning
- Multi-file orchestration, stateful terminal execution, grep/ripgrep search
- Zed editor integration, Agent Communication Protocol (ACP) support
MCP Integration:
- Supabase, Firecrawl, Pocketbase, GitHub Notifications, Terminal MCP
- DigitalOcean GPU droplets (HGX B300) for 123B hosting
Licensing:
- 123B: Modified MIT (revenue cap: $20M/month → commercial license required)
- 24B: Apache 2.0 (fully open, royalty-free)
Best For
- Enterprises wanting 7x cost efficiency vs Claude Sonnet
- Privacy-sensitive teams requiring air-gapped deployment
- Open-source advocates avoiding proprietary lock-in
- Agentic workflows requiring multi-file coherence
Avoid For
- Projects requiring GPT-5-level frontier reasoning
- Teams without ML infrastructure for self-hosting 123B
- Organizations requiring managed SaaS with guaranteed SLAs
Related Tools
- Codestral: Mistral’s 22B coding LLM
- Qwen Coder: Alibaba’s open-source alternative
- DeepSeek Coder: Ultra-low-cost competitor