Devstral2 Mistral

Mistral AI Devstral coding model tool.

3.5/ 5

About Devstral2 Mistral

Mistral AI Devstral coding model tool.

Devstral2 Mistral is listed under Developer Tools. Use this page to quickly understand what it does, compare it with related tools, and jump to the official website when you are ready to evaluate it.

Pricing

Billing terms are labeled below
Free option

Devstral 2 is currently free to use via Mistral's API (console.mistral.ai). After the free period, official API pricing will be $0.40 per million input tokens and $2.00 per million output tokens for Devstral 2, and $0.10 / $0.30 per million (input/output) for Devstral Small 2 (confirmed on the official Devstral 2 announcement). Both models are open-weight: Devstral 2 ships under a modified MIT license and Devstral Small 2 under Apache 2.0, so self-hosting carries no per-token fee beyond your own compute. The 123B flagship is optimized for data-center GPUs (minimum about 4 H100-class GPUs), while the 24B model runs on a single consumer GPU.

Prices can change. Confirm current pricing on the tool's official website.

Devstral2 Mistral Review

A practical review based on pricing, features, strengths, limitations, and ideal users.

Overview

Devstral 2 is the second generation of Mistral AI's open-weight coding model family, announced on December 9, 2025. Mistral AI is a French startup founded in 2023 by former DeepMind and Meta researchers and focused on open and commercial large language models. Devstral 2 ships in two sizes: the flagship Devstral 2 (123B parameters) and Devstral Small 2 (24B parameters). Both are dense transformers built for software-engineering agents that autonomously explore codebases, edit multiple files, and resolve issues. They solve the problem of giving developers a capable, license-permissive coding model that can run either through Mistral's API or locally on modest hardware, lowering the barrier for production-grade AI coding assistance.

Key Features

  • 123B (Devstral 2) and 24B (Devstral Small 2) dense transformers
  • 256K context window on both sizes
  • 72.2% on SWE-bench Verified (Devstral 2); 68.0% (Small 2)
  • Up to 7x more cost-efficient than Claude Sonnet on real-world tasks (per Mistral)
  • Mistral Vibe CLI: open-source, terminal-native coding agent
  • Devstral Small 2 supports image inputs for multimodal agents
  • On-prem deployment and custom fine-tuning supported

Pros (based on real user feedback)

  • New open-source state of the art for code agents at a fraction of competitor model size
  • Strong cost efficiency, and free during the introductory API period
  • Small 2 runs locally on consumer GPUs for private, on-device use
  • Praised by Cline and Kilo Code for smooth, reliable tool-calling
  • Permissive licenses enable commercial use and fine-tuning

Cons (based on real user feedback)

  • In independent human evaluations, Claude Sonnet 4.5 was still significantly preferred, showing a remaining gap with top closed models
  • The 123B flagship requires at least 4 H100-class GPUs to deploy, a high hardware bar
  • The "free API" window is promotional and pricing will rise afterward
  • The small model, while capable, trails the flagship on the hardest tasks

Who It's For

Devstral 2 is aimed at engineering teams and developers who want a strong, self-hostable coding agent without the per-token costs of closed APIs. The 123B model fits organizations with GPU clusters; the 24B model is ideal for hobbyists, startups, and privacy-conscious users who want local, on-device code assistance. It is less suited to users who need guaranteed parity with the very best closed coding models.

Verdict

Devstral 2 is a standout open-weight coding release: compact, fast, and license-friendly, with a free API window that makes evaluation painless. The 24B variant in particular is a compelling local-coding option. Just plan around the eventual paid API tier and the fact that the largest closed models still edge it out on quality.

Category Context

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