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Qwen2.5 14B Instruct vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 4.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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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.
Launched on the same date
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Qwen2.5 14B Instruct
Average Score:75.3%(+4.1%)
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Qwen2.5 7B Instruct
Average Score:71.2%
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5 14B Instruct
0 providers
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Qwen2.5 7B Instruct
1 providers
Together
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Qwen2.5 14B Instruct
Avg Score:75.3%(+4.1%)
Providers:0
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Qwen2.5 7B Instruct
Avg Score:71.2%
Providers:1