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 | 1M |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jul 16 2024 | Nov 11 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Codestral Mamba 7BvsClaude Fable 5.2Qwen4-Max PreviewvsClaude Fable 5.2Codestral Mamba 7BvsGPT-6.1 TerraQwen4-Max PreviewvsGPT-6.1 TerraCodestral Mamba 7BvsGemini 4 CarbonQwen4-Max PreviewvsGemini 4 CarbonCodestral Mamba 7BvsMuse EmberQwen4-Max PreviewvsMuse EmberCodestral Mamba 7BvsGrok 4.7Qwen4-Max PreviewvsGrok 4.7Codestral Mamba 7BvsDeepSeek-V4.1-Flash-1017Qwen4-Max PreviewvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Codestral Mamba 7B and Qwen4-Max Preview don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral Mamba 7B shipped 848 days before Qwen4-Max Preview, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral Mamba 7B) vs 1M (Qwen4-Max Preview). Codestral Mamba 7B is open weight, while Qwen4-Max Preview is closed.
Direct benchmark comparisons are unavailable — Codestral Mamba 7B and Qwen4-Max Preview don't publish scores on any of the same benchmarks.