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DeepSeek-V3.2-Exp vs QwQ-32B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 12.7% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
6 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:77.0%(+12.7%)
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QwQ-32B
Average Score:64.3%
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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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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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QwQ-32B
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DeepSeek-V3.2-Exp
Avg Score:77.0%(+12.7%)
Providers:2
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QwQ-32B
Avg Score:64.3%
Providers:0