AI Model Release Tracker

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.
70B22B
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 dateJan 29 2024May 29 2024
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Code Llama 70BvsClaude Haiku 5.5Codestral 22BvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolCodestral 22BvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonCodestral 22BvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Codestral 22BvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Codestral 22BvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Codestral 22BvsKimi K3

Frequently asked questions

Code Llama 70B and Codestral 22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama 70B shipped 121 days before Codestral 22B, so benchmark comparisons should account for the intervening progress.

Code Llama 70B has 70B parameters, while Codestral 22B has 22B. Context windows are 16k (Code Llama 70B) vs 32k (Codestral 22B). Code Llama 70B is open weight, while Codestral 22B is closed.

Direct benchmark comparisons are unavailable — Code Llama 70B and Codestral 22B don't publish scores on any of the same benchmarks.