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DeepSeek-V3.1 vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 11.1% higher average benchmark score. DeepSeek-V3.1 offers 188.4K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $0.52 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
3 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($0.52 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3.1
Average Score:76.7%(+11.1%)
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Qwen2.5 72B Instruct
Average Score:65.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Qwen2.5 72B Instruct
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DeepSeek-V3.1
Avg Score:76.7%(+11.1%)
Providers:2
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Qwen2.5 72B Instruct
Avg Score:65.6%
Providers:4