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DeepSeek-V3.2-Exp vs Qwen3 32B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 9.9% higher average benchmark score. Qwen3 32B offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. 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
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.
5 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Qwen3 32B
Input:$0.10
Output:$0.30($0.28 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:78.0%(+9.9%)
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Qwen3 32B
Average Score:68.2%
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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Qwen3 32B
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DeepSeek-V3.2-Exp
Avg Score:78.0%(+9.9%)
Providers:2
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Qwen3 32B
Avg Score:68.2%
Providers:3