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.
400B141B
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.
1M64k
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.
$0.1875DigitalOcean$2.00Mistral
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.6525DigitalOcean$6.00Mistral
$70.13DigitalOcean$700Mistral · zdr
These models have no shared benchmark scores.
Overview
CompanyMetaMistral
Release dateApr 5 2025Apr 10 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

LLaMA 4 Maverick and Mixtral 8×22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 360 days before LLaMA 4 Maverick, so benchmark comparisons should account for the intervening progress.

LLaMA 4 Maverick has 400B parameters, while Mixtral 8×22B has 141B. Context windows are 1M (LLaMA 4 Maverick) vs 64k (Mixtral 8×22B).

Direct benchmark comparisons are unavailable — LLaMA 4 Maverick and Mixtral 8×22B don't publish scores on any of the same benchmarks.