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.
8B/70B—
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.
8k32k
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
Overview
CompanyMetaMistral
Release dateApr 18 2024Feb 26 2024
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

LLaMA 3 (8B/70B) and Mistral Large don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Large shipped 52 days before LLaMA 3 (8B/70B), so benchmark comparisons should account for the intervening progress.

Context windows are 8k (LLaMA 3 (8B/70B)) vs 32k (Mistral Large). LLaMA 3 (8B/70B) is open weight, while Mistral Large is closed.

Direct benchmark comparisons are unavailable — LLaMA 3 (8B/70B) and Mistral Large don't publish scores on any of the same benchmarks.