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DeepSeek-V2.5 vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 2.0% 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 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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DeepSeek-V2.5
Average Score:41.0%
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Qwen2.5 14B Instruct
Average Score:43.1%(+2.0%)
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:41.0%
Providers:3
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Qwen2.5 14B Instruct
Avg Score:43.1%(+2.0%)
Providers:0