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Qwen2.5-Omni-7B vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 50.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
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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.
3 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Performance Metrics
Context window and performance specifications
Average performance across 48 common benchmarks
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Qwen2.5-Omni-7B
Average Score:55.5%(+50.2%)
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QwQ-32B-Preview
Average Score:5.3%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
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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Qwen2.5-Omni-7B
0 providers
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QwQ-32B-Preview
4 providers
DeepInfra
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Qwen2.5-Omni-7B
Avg Score:55.5%(+50.2%)
Providers:0
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QwQ-32B-Preview
Avg Score:5.3%
Providers:4