Codestral 25.01vsQwen3.6
Codestral 25.01 | Qwen3.6 | |
|---|---|---|
| Specifications | ||
Parameters | — | 35B |
Context window | 256k | 256k |
| Benchmarks | ||
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 49.5% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 73.4% |
Multilingual coding SWE-Bench MultilingualLike SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | — | 67.2% |
Agentic terminal coding Terminal-Bench 2.0Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 51.5% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 21.4% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 86% |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 78% |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | — | 75.3% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | — | 81.7% |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jan 13 2025 | Apr 16 2026 |
| Access | Proprietary | Open Weight |
Which is better: Codestral 25.01 or Qwen3.6?
Codestral 25.01 and Qwen3.6 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral 25.01 shipped 458 days before Qwen3.6, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 256k (Qwen3.6). Codestral 25.01 is proprietary, while Qwen3.6 is open weight.
Direct benchmark comparisons are unavailable — Codestral 25.01 and Qwen3.6 don't publish scores on any of the same benchmarks.
Frequently asked questions
Codestral 25.01 was released by Mistral on Jan 13 2025.
Qwen3.6 was released by Qwen on Apr 16 2026.
Codestral 25.01 has a 256k context window; Qwen3.6 has 256k.
Codestral 25.01 is a proprietary model released by Mistral. Qwen3.6 is an open weight model released by Qwen.