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.
141B48B
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.
64k1M
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
CompanyMistralMoonshot AI
Release dateApr 10 2024Oct 30 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Mixtral 8×22BvsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Mixtral 8×22BvsGPT-6.1 SolKimi LinearvsGPT-6.1 SolMixtral 8×22BvsGemini 4 ArgonKimi LinearvsGemini 4 ArgonMixtral 8×22BvsMuse Spark OpenKimi LinearvsMuse Spark OpenMixtral 8×22BvsGrok 4.7Kimi LinearvsGrok 4.7Mixtral 8×22BvsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017

Frequently asked questions

Mixtral 8×22B and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 568 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.

Mixtral 8×22B has 141B parameters, while Kimi Linear has 48B. Context windows are 64k (Mixtral 8×22B) vs 1M (Kimi Linear).

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