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DeepSeek-V3 vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). 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.
3 months newer
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-V3
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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DeepSeek-V3
Average Score:39.5%(+0.2%)
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Qwen2.5 32B Instruct
Average Score:39.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Qwen2.5 32B Instruct
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DeepSeek-V3
Avg Score:39.5%(+0.2%)
Providers:1
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Qwen2.5 32B Instruct
Avg Score:39.3%
Providers:0