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.
70B141B
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.
16k64k
API pricingUSD per 1M tokens · lower wins
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
—$2.00Mistral
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$6.00Mistral
—$700Mistral · zdr
Overview
CompanyMetaMistral
Release dateJan 29 2024Apr 10 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Code Llama 70BvsClaude Haiku 5.5Mixtral 8×22BvsClaude Haiku 5.5Code Llama 70BvsGPT-6.1 SolMixtral 8×22BvsGPT-6.1 SolCode Llama 70BvsGemini 4 ArgonMixtral 8×22BvsGemini 4 ArgonCode Llama 70BvsGrok 4.7Mixtral 8×22BvsGrok 4.7Code Llama 70BvsDeepSeek-V4.1-Flash-1017Mixtral 8×22BvsDeepSeek-V4.1-Flash-1017Code Llama 70BvsKimi K3Mixtral 8×22BvsKimi K3

Frequently asked questions

Code Llama 70B and Mixtral 8×22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama 70B shipped 72 days before Mixtral 8×22B, so benchmark comparisons should account for the intervening progress.

Code Llama 70B has 70B parameters, while Mixtral 8×22B has 141B. Context windows are 16k (Code Llama 70B) vs 64k (Mixtral 8×22B).

Direct benchmark comparisons are unavailable — Code Llama 70B and Mixtral 8×22B don't publish scores on any of the same benchmarks.