Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B
Alibaba
2025-03-05

GPT-5 nano
OpenAI
2025-08-07
5 months newer
Performance Metrics
Context window and performance specifications

GPT-5 nano

QwQ-32B
Average performance across 1 common benchmarks

GPT-5 nano

QwQ-32B
Performance comparison across key benchmark categories

GPT-5 nano

QwQ-32B
GPT-5 nano
2024-05-30
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

QwQ-32B

GPT-5 nano

QwQ-32B