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DeepSeek-V3 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 16.0% higher average benchmark score. DeepSeek-V3 offers 122.9K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $0.77 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.77 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:69.6%(+16.0%)
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Qwen2.5 7B Instruct
Average Score:53.6%
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 7B Instruct
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DeepSeek-V3
Avg Score:69.6%(+16.0%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:53.6%
Providers:1