Codestral 25.01vsQwen2
Codestral 25.01 | Qwen2 | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 72B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 256k | 128k |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jan 13 2025 | Jun 6 2024 |
| Access | Proprietary | Open Weight |
Other comparisons
Codestral 25.01vsClaude Fable 5.1Qwen2vsClaude Fable 5.1Codestral 25.01vsGPT-6 AstraQwen2vsGPT-6 AstraCodestral 25.01vsGemini 3.8 FlashQwen2vsGemini 3.8 FlashCodestral 25.01vsMuse Spark 1.3Qwen2vsMuse Spark 1.3Codestral 25.01vsGrok 4.6Qwen2vsGrok 4.6Codestral 25.01vsDeepSeek-V4.1-FlashQwen2vsDeepSeek-V4.1-Flash
Frequently asked questions
Codestral 25.01 and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 221 days before Codestral 25.01, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 128k (Qwen2). Codestral 25.01 is proprietary, while Qwen2 is open weight.
Direct benchmark comparisons are unavailable — Codestral 25.01 and Qwen2 don't publish scores on any of the same benchmarks.