What are the best alternatives to Devstral 2?

freemiumDR 86Devstral 2 (123B) and Devstral Small 2 (24B) are currently free to use via the Mistral API (console.mistral.ai). Open weights: Devstral 2 ships under a modified MIT license; Devstral Small 2 under Apache 2.0. Self-hosting on compatible hardware is supported. Enterprise pricing available for on-prem deployments.View full pricing →

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About Devstral 2

Mistral AI's next-generation open-weight coding model family, released December 9, 2025. Devstral 2 is a 123B-parameter dense transformer with a 256K context window, achieving 72.2% on SWE-bench Verified under a modified MIT license — currently free via the Mistral API. Devstral Small 2 (24B, Apache 2.0) scores 68.0% on SWE-bench Verified and runs on consumer hardware. Up to 7× more cost-efficient than Claude Sonnet at real-world coding tasks per Mistral's human evaluations. Ships alongside Mistral Vibe, an open-source terminal CLI for end-to-end code automation.

Key Features

✓72.2% on SWE-bench Verified (Devstral 2, 123B) — state-of-the-art among open-weight models at launch

✓68.0% on SWE-bench Verified (Devstral Small 2, 24B) — matches models 5× its size

✓256K context window — supports full codebase ingestion and multi-file edits

✓Up to 7× more cost-efficient than Claude Sonnet on real-world coding tasks (Mistral human evals)

✓42.8% win rate vs. 28.6% loss rate against DeepSeek V3.2 in independent human evaluation via Cline

✓Mistral Vibe CLI: open-source terminal agent for autonomous end-to-end code automation

✓Multi-file editing: tracks framework dependencies, detects failures, retries with corrections

✓Fine-tuning support for specific languages or enterprise codebases

✓Devstral 2: modified MIT license — Devstral Small 2: Apache 2.0

✓5× smaller than DeepSeek V3.2 (123B vs ~671B) at comparable benchmark performance

✓Devstral Small 2 runs locally on consumer hardware — single H100 or equivalent

✓Compatible with Cline, Continue, and other VS Code coding agent integrations

Devstral 2 Pros & Cons

✅ Pros

+72.2% on SWE-bench Verified makes it the best open-weight coding model at launch — no closed-source license required
+Free API access lowers the bar significantly; most teams can evaluate without a budget discussion
+Devstral Small 2 (24B, Apache 2.0) runs on consumer hardware, making local deployment practical
+Mistral Vibe CLI provides a ready-made agentic coding interface — no third-party agent framework required
+7× cost efficiency vs. Claude Sonnet means the economics work at high token volumes
+Permissive licenses (MIT/Apache 2.0) allow commercial use without royalties or usage restrictions

⚠️ Cons

−Claude Sonnet 4.5 is still significantly preferred in human evals — gap with frontier closed-source models persists
−Mistral Vibe CLI is new and early; tooling maturity lags behind Copilot and Cursor
−Benchmark comparisons (SWE-bench %) are self-reported by Mistral; independent reproduction pending at launch
−Fine-tuning and enterprise on-prem deployment require reaching out to Mistral directly