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DeepSeek-V2.5 vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 5.8% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
4 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.24 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V2.5
Average Score:84.8%(+5.8%)
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Qwen2.5-Coder 32B Instruct
Average Score:79.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:84.8%(+5.8%)
Providers:3
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Qwen2.5-Coder 32B Instruct
Avg Score:79.0%
Providers:4