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.
123B7B
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.
128k2k
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
CompanyMistralQwen
Release dateJul 24 2024Aug 3 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Mistral Large 2vsClaude Haiku 5.5Qwen-7BvsClaude Haiku 5.5Mistral Large 2vsGPT-6.1 SolQwen-7BvsGPT-6.1 SolMistral Large 2vsGemini 4 ArgonQwen-7BvsGemini 4 ArgonMistral Large 2vsMuse Spark OpenQwen-7BvsMuse Spark OpenMistral Large 2vsGrok 4.7Qwen-7BvsGrok 4.7Mistral Large 2vsDeepSeek-V4.1-Flash-1017Qwen-7BvsDeepSeek-V4.1-Flash-1017

Frequently asked questions

Mistral Large 2 and Qwen-7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-7B shipped 356 days before Mistral Large 2, so benchmark comparisons should account for the intervening progress.

Mistral Large 2 has 123B parameters, while Qwen-7B has 7B. Context windows are 128k (Mistral Large 2) vs 2k (Qwen-7B).

Direct benchmark comparisons are unavailable — Mistral Large 2 and Qwen-7B don't publish scores on any of the same benchmarks.