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. | 2M | 256k |
| Overview | ||
| Company | Mistral | |
| Release date | Sep 24 2024 | Jul 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Gemini 1.5 Pro-002 and Codestral Mamba 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral Mamba 7B shipped 70 days before Gemini 1.5 Pro-002, so benchmark comparisons should account for the intervening progress.
Context windows are 2M (Gemini 1.5 Pro-002) vs 256k (Codestral Mamba 7B). Gemini 1.5 Pro-002 is closed, while Codestral Mamba 7B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro-002 and Codestral Mamba 7B don't publish scores on any of the same benchmarks.