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.
7B/13B/34B8B
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.
16k128k
Overview
CompanyMetaMistral
Release dateAug 24 2023Oct 16 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Code LlamavsClaude Haiku 5.5Ministral 8BvsClaude Haiku 5.5Code LlamavsGPT-6.1 SolMinistral 8BvsGPT-6.1 SolCode LlamavsGemini 4 ArgonMinistral 8BvsGemini 4 ArgonCode LlamavsGrok 4.7Ministral 8BvsGrok 4.7Code LlamavsDeepSeek-V4.1-Flash-1017Ministral 8BvsDeepSeek-V4.1-Flash-1017Code LlamavsKimi K3Ministral 8BvsKimi K3

Frequently asked questions

Code Llama and Ministral 8B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 419 days before Ministral 8B, so benchmark comparisons should account for the intervening progress.

Code Llama has 7B/13B/34B parameters, while Ministral 8B has 8B. Context windows are 16k (Code Llama) vs 128k (Ministral 8B).

Direct benchmark comparisons are unavailable — Code Llama and Ministral 8B don't publish scores on any of the same benchmarks.