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Qwen2.5 VL 32B Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 19.2% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
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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.
5 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Average performance across 1 common benchmarks
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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QwQ-32B
Average Score:65.2%(+19.2%)
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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 VL 32B Instruct
0 providers
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QwQ-32B
0 providers
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0
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QwQ-32B
Avg Score:65.2%(+19.2%)
Providers:0