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.
141B0.5B/1.5B/7B/57B/72B
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.
64k128k
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
CompanyMistralQwen
Release dateApr 10 2024Jun 6 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Mixtral 8×22BvsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5Mixtral 8×22BvsGPT-6.1 SolQwen2vsGPT-6.1 SolMixtral 8×22BvsGemini 4 ArgonQwen2vsGemini 4 ArgonMixtral 8×22BvsMuse Spark OpenQwen2vsMuse Spark OpenMixtral 8×22BvsGrok 4.7Qwen2vsGrok 4.7Mixtral 8×22BvsDeepSeek-V4.1-Flash-1017Qwen2vsDeepSeek-V4.1-Flash-1017

Frequently asked questions

Mixtral 8×22B and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 57 days before Qwen2, so benchmark comparisons should account for the intervening progress.

Mixtral 8×22B has 141B parameters, while Qwen2 has 0.5B/1.5B/7B/57B/72B. Context windows are 64k (Mixtral 8×22B) vs 128k (Qwen2).

Direct benchmark comparisons are unavailable — Mixtral 8×22B and Qwen2 don't publish scores on any of the same benchmarks.