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 | 40k |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Jan 29 2024 | Jun 10 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Code Llama 70BvsClaude Haiku 5.5Magistral MediumvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolMagistral MediumvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonMagistral MediumvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Magistral MediumvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Magistral MediumvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Magistral MediumvsKimi K3Frequently asked questions
Code Llama 70B and Magistral Medium don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama 70B shipped 498 days before Magistral Medium, so benchmark comparisons should account for the intervening progress.
Context windows are 16k (Code Llama 70B) vs 40k (Magistral Medium). Code Llama 70B is open weight, while Magistral Medium is closed.
Direct benchmark comparisons are unavailable — Code Llama 70B and Magistral Medium don't publish scores on any of the same benchmarks.