Codestral or Qwen Coder: which coding model you may ship
The real difference here is rights, not capability. The open weights of Codestral 22B fall under the Mistral Non-Production License: research and testing only, no production use without a paid license, and newer Codestral versions are API-only; the one free option is the spin-off Mamba-Codestral 7B under Apache 2.0. Qwen Coder is almost entirely Apache 2.0 with commercial use permitted, spans 0.5B to 480B-A35B and includes CPU-capable and agentic versions. If the model is going into a product rather than a test bench, the question usually settles in favour of Qwen Coder.
Comparison based on catalog data
| Parameter | Codestral | Qwen Coder |
|---|---|---|
| Category | Code | Code |
| Developer | Mistral AI, France | Alibaba (Qwen team), China |
| Releases | May 2024 – Jul 2024 | Apr 2024 – Feb 2026 |
| Sizes | 7B – 22B | 0.5B – 480B-A35B |
| Hardware | Laptop, 1 GPU | Laptop, 1 GPU, Cluster |
| Commercial use | Non-commercial only | Commercial use allowed |
| License | Codestral 22B: Mistral Non-Production License (research and testing only); the spin-off Mamba-Codestral 7B: Apache 2.0 | Apache 2.0 (CodeQwen1.5 and Qwen2.5-Coder-3B have their own Qwen license) |
| Russian | Not supported | Not stated |
| Ollama | Yes | Yes |
| Without GPU | No | Yes |
| Tasks |
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Choose Codestral if
- You are evaluating on a test bench before buying a commercial license
- You are happy with the spin-off Mamba-Codestral 7B under Apache 2.0
- The work sits in a research team with nothing going to production
Choose Qwen Coder if
- The model goes into a shipping product: Qwen Coder permits commercial use
- You want a size range from 0.5B to 480B-A35B
- You need a developer agent, not just editor autocompletion
Other comparisons
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- MiniCPM or Gemma: which model to put on the device
- Qwen or GigaChat: which to choose for business
- Qwen or Llama: which to choose for business
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- Fine-tuneOn your data, or connect a knowledge base
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