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DeepSeek-V3.2-Exp vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 38.6% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Qwen2.5-Coder 32B Instruct is available on 4 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
1 year newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.5%(+38.6%)
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Qwen2.5-Coder 32B Instruct
Average Score:40.9%
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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Qwen2.5-Coder 32B Instruct
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DeepSeek-V3.2-Exp
Avg Score:79.5%(+38.6%)
Providers:2
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Qwen2.5-Coder 32B Instruct
Avg Score:40.9%
Providers:4