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.
1B/3B/11B/90B47B
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.
128k32k
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.
$0.027Cloudflare—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.201Cloudflare—
$15.45Cloudflare—
Overview
CompanyMetaMistral
Release dateSep 25 2024Dec 8 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

LLaMA 3.2vsClaude Haiku 5.5Mixtral 8×7BvsClaude Haiku 5.5LLaMA 3.2vsGPT-6.1 SolMixtral 8×7BvsGPT-6.1 SolLLaMA 3.2vsGemini 4 ArgonMixtral 8×7BvsGemini 4 ArgonLLaMA 3.2vsGrok 4.7Mixtral 8×7BvsGrok 4.7LLaMA 3.2vsDeepSeek-V4.1-Flash-1017Mixtral 8×7BvsDeepSeek-V4.1-Flash-1017LLaMA 3.2vsKimi K3Mixtral 8×7BvsKimi K3

Frequently asked questions

LLaMA 3.2 and Mixtral 8×7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 292 days before LLaMA 3.2, so benchmark comparisons should account for the intervening progress.

LLaMA 3.2 has 1B/3B/11B/90B parameters, while Mixtral 8×7B has 47B. Context windows are 128k (LLaMA 3.2) vs 32k (Mixtral 8×7B).

Direct benchmark comparisons are unavailable — LLaMA 3.2 and Mixtral 8×7B don't publish scores on any of the same benchmarks.