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DeepSeek-R1 vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 122.9K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $1.99 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. 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 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($1.99 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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Qwen2.5 72B Instruct
Average Score:77.4%(+77.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Qwen2.5 72B Instruct
Avg Score:77.4%(+77.4%)
Providers:4