AI Model Release Tracker

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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.
70B7B
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.
16k256k
Overview
CompanyMetaMistral
Release dateJan 29 2024Jul 16 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Code Llama 70BvsClaude Haiku 5.5Codestral Mamba 7BvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolCodestral Mamba 7BvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonCodestral Mamba 7BvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Codestral Mamba 7BvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Codestral Mamba 7BvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Codestral Mamba 7BvsKimi K3

Frequently asked questions

Code Llama 70B and Codestral Mamba 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama 70B shipped 169 days before Codestral Mamba 7B, so benchmark comparisons should account for the intervening progress.

Code Llama 70B has 70B parameters, while Codestral Mamba 7B has 7B. Context windows are 16k (Code Llama 70B) vs 256k (Codestral Mamba 7B).

Direct benchmark comparisons are unavailable — Code Llama 70B and Codestral Mamba 7B don't publish scores on any of the same benchmarks.