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o4-mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
o4-mini leads with 21.5% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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o4-mini
Average Score:49.0%(+21.5%)
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QwQ-32B
Average Score:27.5%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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QwQ-32B
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o4-mini
Avg Score:49.0%(+21.5%)
Providers:1
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QwQ-32B
Avg Score:27.5%
Providers:0