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DeepSeek-V3 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 7.4% higher average benchmark score. DeepSeek-V3 offers 196.6K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $1.02 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
27 days newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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QwQ-32B-Preview
Input:$0.15
Output:$0.20($1.02 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:56.5%
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QwQ-32B-Preview
Average Score:64.0%(+7.4%)
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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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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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QwQ-32B-Preview
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DeepSeek-V3
Avg Score:56.5%
Providers:1
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QwQ-32B-Preview
Avg Score:64.0%(+7.4%)
Providers:4