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DeepSeek-V2.5 vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 4.4% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen2 72B was developed as the flagship model in the Qwen2 generation, designed to provide advanced language understanding with 72 billion parameters. Built to deliver strong performance across diverse tasks, it represented a significant advancement in Qwen's model capabilities when introduced.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V2.5
Average Score:84.7%(+4.4%)
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Qwen2 72B Instruct
Average Score:80.3%
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:84.7%(+4.4%)
Providers:3
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Qwen2 72B Instruct
Avg Score:80.3%
Providers:0