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Qwen3 32B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 2.5% higher average benchmark score. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
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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.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Qwen3 32B
Average Score:73.1%(+2.5%)
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QwQ-32B
Average Score:70.6%
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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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Qwen3 32B
3 providers
DeepInfra
Throughput: 26.95 tok/s
Latency: 1.19ms
Novita
Throughput: 32.43 tok/s
Latency: 0.93ms
Sambanova
Throughput: 327.7 tok/s
Latency: 1.08ms
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Qwen3 32B
Avg Score:73.1%(+2.5%)
Providers:3
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QwQ-32B
Avg Score:70.6%
Providers:0