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. | 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. | 16k | 32k |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Jan 29 2024 | Dec 11 2023 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Code Llama 70BvsClaude Haiku 5.5Mistral MediumvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolMistral MediumvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonMistral MediumvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Mistral MediumvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Mistral MediumvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Mistral MediumvsKimi K3Frequently asked questions
Code Llama 70B and Mistral Medium don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Medium shipped 49 days before Code Llama 70B, so benchmark comparisons should account for the intervening progress.
Context windows are 16k (Code Llama 70B) vs 32k (Mistral Medium). Code Llama 70B is open weight, while Mistral Medium is closed.
Direct benchmark comparisons are unavailable — Code Llama 70B and Mistral Medium don't publish scores on any of the same benchmarks.