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.
47B1T
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.
32k256k
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.
—$0.60Novita
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$2.50Novita
—$245Novita · fp8
These models have no shared benchmark scores.
Overview
CompanyMistralMoonshot AI
Release dateDec 8 2023Sep 5 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Mixtral 8×7B and Kimi K2 (0905) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 637 days before Kimi K2 (0905), so benchmark comparisons should account for the intervening progress.

Mixtral 8×7B has 47B parameters, while Kimi K2 (0905) has 1T. Context windows are 32k (Mixtral 8×7B) vs 256k (Kimi K2 (0905)).

Direct benchmark comparisons are unavailable — Mixtral 8×7B and Kimi K2 (0905) don't publish scores on any of the same benchmarks.