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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.
—32B
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.
32k128k
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—
These models have no shared benchmark scores.
Overview
CompanyMistralQwen
Release dateFeb 26 2024Mar 6 2025
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Mistral Large and QwQ-32B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Large shipped 374 days before QwQ-32B, so benchmark comparisons should account for the intervening progress.

Context windows are 32k (Mistral Large) vs 128k (QwQ-32B). Mistral Large is closed, while QwQ-32B is open weight.

Direct benchmark comparisons are unavailable — Mistral Large and QwQ-32B don't publish scores on any of the same benchmarks.