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DeepSeek R1 Distill Qwen 32B vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 36.6% higher average benchmark score. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:13.5%
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Qwen2.5-Coder 7B Instruct
Average Score:50.1%(+36.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Qwen2.5-Coder 7B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:13.5%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:50.1%(+36.6%)
Providers:0