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Qwen2.5-Omni-7B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 39.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
22 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 2 common benchmarks
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Qwen2.5-Omni-7B
Average Score:30.2%
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QwQ-32B
Average Score:69.2%(+39.0%)
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Knowledge Cutoff
Training data recency comparison
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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Qwen2.5-Omni-7B
0 providers
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QwQ-32B
0 providers
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Qwen2.5-Omni-7B
Avg Score:30.2%
Providers:0
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QwQ-32B
Avg Score:69.2%(+39.0%)
Providers:0