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.
—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.
128k128k
API pricingUSD per 1M tokens · lower wins
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
$15.00—
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
$60.00—
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
$7.50—
$6,000OpenAI list price—
These models have no shared benchmark scores.
Overview
CompanyOpenAIQwen
Release dateSep 12 2024Mar 6 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

o1-preview and QwQ-32B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o1-preview has a verified first-party price for an available API: $15.00 per million input tokens and $60.00 per million output tokens. No currently available pay-as-you-go API rate is tracked for QwQ-32B. o1-preview shipped 175 days before QwQ-32B, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (o1-preview) vs 128k (QwQ-32B). o1-preview is closed, while QwQ-32B is open weight.

Direct benchmark comparisons are unavailable — o1-preview and QwQ-32B don't publish scores on any of the same benchmarks.