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DeepSeek-V3.1 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 27.5% higher average benchmark score. DeepSeek-V3.1 offers 188.4K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $0.67 cheaper per million tokens. 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 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
3 months newer
Qwen2.5 7B 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 7B Instruct
Input:$0.30
Output:$0.30($0.67 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%(+27.5%)
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Qwen2.5 7B Instruct
Average Score:49.2%
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 7B Instruct
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DeepSeek-V3.1
Avg Score:76.7%(+27.5%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:49.2%
Providers:1