Comprehensive side-by-side LLM comparison
o4-mini leads with 13.5% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Qwen3 32B. Qwen3 32B is $5.10 cheaper per million tokens. o4-mini supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, o4-mini is the stronger choice for coding tasks.
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
13 days newer
o4-mini
OpenAI
2025-04-16
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
o4-mini
Qwen3 32B
Context window and performance specifications
Average performance across 21 common benchmarks
o4-mini
Qwen3 32B
o4-mini
2024-05-31
Available providers and their performance metrics
o4-mini
OpenAI
Qwen3 32B
o4-mini
Qwen3 32B
o4-mini
Qwen3 32B
DeepInfra
Novita
Sambanova