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Gemma 2 9B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Gemma 2 9B
2024-06-27
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 2 9B
Average Score:39.8%(+4.5%)
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Qwen2.5 7B Instruct
Average Score:35.3%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Qwen2.5 7B Instruct
1 providers
Together
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Gemma 2 9B
Avg Score:39.8%(+4.5%)
Providers:0
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Qwen2.5 7B Instruct
Avg Score:35.3%
Providers:1