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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/13B/34B7B
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.
16k32k
Overview
CompanyMetaMistral
Release dateAug 24 2023Jul 16 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Code Llama and Mathstral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 327 days before Mathstral 7B, so benchmark comparisons should account for the intervening progress.

Code Llama has 7B/13B/34B parameters, while Mathstral 7B has 7B. Context windows are 16k (Code Llama) vs 32k (Mathstral 7B).

Direct benchmark comparisons are unavailable — Code Llama and Mathstral 7B don't publish scores on any of the same benchmarks.