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GPT-4o mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 3.3% higher average benchmark score. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 2024, 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.
7 months newer
GPT-4o mini
OpenAI
2024-07-18
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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GPT-4o mini
Average Score:38.1%(+3.3%)
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QwQ-32B
Average Score:34.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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QwQ-32B
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GPT-4o mini
Avg Score:38.1%(+3.3%)
Providers:1
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QwQ-32B
Avg Score:34.8%
Providers:0