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 | 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 | 32k |
| Overview | ||
| Company | Mistral | Mistral |
| Release date | Jul 16 2024 | Jul 16 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
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Codestral Mamba 7B and Mathstral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Both models were released on the same day — Jul 16 2024.
Codestral Mamba 7B has 7B parameters, while Mathstral 7B has 7B. Context windows are 256k (Codestral Mamba 7B) vs 32k (Mathstral 7B).
Direct benchmark comparisons are unavailable — Codestral Mamba 7B and Mathstral 7B don't publish scores on any of the same benchmarks.