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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.
—0.5B/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.
128k128k
Overview
CompanyOpenAIQwen
Release dateFeb 27 2025Jun 6 2024
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

GPT-4.5vsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5GPT-4.5vsGemini 4 ArgonQwen2vsGemini 4 ArgonGPT-4.5vsMuse Spark OpenQwen2vsMuse Spark OpenGPT-4.5vsGrok 4.7Qwen2vsGrok 4.7GPT-4.5vsDeepSeek-V4.1-Flash-1017Qwen2vsDeepSeek-V4.1-Flash-1017GPT-4.5vsMistral Large 4Qwen2vsMistral Large 4

Frequently asked questions

GPT-4.5 and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 266 days before GPT-4.5, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (GPT-4.5) vs 128k (Qwen2). GPT-4.5 is closed, while Qwen2 is open weight.

Direct benchmark comparisons are unavailable — GPT-4.5 and Qwen2 don't publish scores on any of the same benchmarks.