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.
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.
16k8k
Overview
CompanyMetaMistral
Release dateJan 29 2024Sep 27 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Code Llama 70BvsClaude Haiku 5.5Mistral 7BvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolMistral 7BvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonMistral 7BvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Mistral 7BvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Mistral 7BvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Mistral 7BvsKimi K3

Frequently asked questions

Code Llama 70B and Mistral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral 7B shipped 124 days before Code Llama 70B, so benchmark comparisons should account for the intervening progress.

Code Llama 70B has 70B parameters, while Mistral 7B has 7B. Context windows are 16k (Code Llama 70B) vs 8k (Mistral 7B).

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