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. | 1M | 256k |
| Overview | ||
| Company | Mistral | |
| Release date | Feb 15 2024 | Jul 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
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Gemini 1.5 Pro and Codestral Mamba 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Pro shipped 152 days before Codestral Mamba 7B, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 256k (Codestral Mamba 7B). Gemini 1.5 Pro is closed, while Codestral Mamba 7B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and Codestral Mamba 7B don't publish scores on any of the same benchmarks.