Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | 7B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 256k | 2k |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jan 13 2025 | Aug 3 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Codestral 25.01vsClaude Haiku 5.5Qwen-7BvsClaude Haiku 5.5Codestral 25.01vsGPT-6.1 TerraQwen-7BvsGPT-6.1 TerraCodestral 25.01vsGemini 4 CarbonQwen-7BvsGemini 4 CarbonCodestral 25.01vsMuse Spark OpenQwen-7BvsMuse Spark OpenCodestral 25.01vsGrok 4.7Qwen-7BvsGrok 4.7Codestral 25.01vsDeepSeek-V4.1-Flash-1017Qwen-7BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Codestral 25.01 and Qwen-7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-7B shipped 529 days before Codestral 25.01, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 2k (Qwen-7B). Codestral 25.01 is closed, while Qwen-7B is open weight.
Direct benchmark comparisons are unavailable — Codestral 25.01 and Qwen-7B don't publish scores on any of the same benchmarks.