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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/67B24B
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.
4k40k
Overview
CompanyDeepSeekMistral
Release dateNov 29 2023Jun 10 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

DeepSeek-LLM and Magistral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-LLM shipped 559 days before Magistral Small, so benchmark comparisons should account for the intervening progress.

DeepSeek-LLM has 7B/67B parameters, while Magistral Small has 24B. Context windows are 4k (DeepSeek-LLM) vs 40k (Magistral Small). DeepSeek-LLM is open weight, while Magistral Small is closed.

Direct benchmark comparisons are unavailable — DeepSeek-LLM and Magistral Small don't publish scores on any of the same benchmarks.