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DeepSeek-V3.1 vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 20.4% higher average benchmark score. DeepSeek-V3.1 is available on 2 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 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
3 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-V3.1
DeepSeek
2025-01-10
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:83.5%(+20.4%)
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Qwen2.5 14B Instruct
Average Score:63.1%
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 14B Instruct
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DeepSeek-V3.1
Avg Score:83.5%(+20.4%)
Providers:2
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Qwen2.5 14B Instruct
Avg Score:63.1%
Providers:0