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/13B/70B | — |
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. | 4k | 32k |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Jul 18 2023 | Dec 11 2023 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
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LLaMA 2 and Mistral Medium don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 2 shipped 146 days before Mistral Medium, so benchmark comparisons should account for the intervening progress.
Context windows are 4k (LLaMA 2) vs 32k (Mistral Medium). LLaMA 2 is open weight, while Mistral Medium is closed.
Direct benchmark comparisons are unavailable — LLaMA 2 and Mistral Medium don't publish scores on any of the same benchmarks.