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.
—141B
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.
32k64k
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
CompanyGoogleMistral
Release dateDec 13 2023Apr 10 2024
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemini 1.0 Pro and Mixtral 8×22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Pro shipped 119 days before Mixtral 8×22B, so benchmark comparisons should account for the intervening progress.

Context windows are 32k (Gemini 1.0 Pro) vs 64k (Mixtral 8×22B). Gemini 1.0 Pro is closed, while Mixtral 8×22B is open weight.

Direct benchmark comparisons are unavailable — Gemini 1.0 Pro and Mixtral 8×22B don't publish scores on any of the same benchmarks.