Comprehensive side-by-side LLM comparison
o3 leads with 51.2% higher average benchmark score. o3 offers 234.5K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $9.65 cheaper per million tokens. o3 supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, o3 is the stronger choice for coding tasks.
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. 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.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
o3
QwQ-32B-Preview
Context window and performance specifications
Average performance across 24 common benchmarks
o3
QwQ-32B-Preview
o3
2024-05-31
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
o3
OpenAI
QwQ-32B-Preview
o3
QwQ-32B-Preview
o3
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together