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. | 1.3B/5.7B/6.7B/33B | 24B |
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 | DeepSeek | Mistral |
| Release date | Nov 2 2023 | Jun 10 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
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DeepSeek Coder and Magistral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder shipped 586 days before Magistral Small, so benchmark comparisons should account for the intervening progress.
DeepSeek Coder has 1.3B/5.7B/6.7B/33B parameters, while Magistral Small has 24B. Context windows are 16k (DeepSeek Coder) vs 40k (Magistral Small). DeepSeek Coder is open weight, while Magistral Small is closed.
Direct benchmark comparisons are unavailable — DeepSeek Coder and Magistral Small don't publish scores on any of the same benchmarks.