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DeepSeek R1 Zero vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 36.4% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
6 months newer
Gemma 2 9B
2024-06-27
DeepSeek R1 Zero
DeepSeek
2025-01-20
Average performance across 20 common benchmarks
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DeepSeek R1 Zero
Average Score:15.3%
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Gemma 2 9B
Average Score:51.7%(+36.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Gemma 2 9B
0 providers
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DeepSeek R1 Zero
Avg Score:15.3%
Providers:0
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Gemma 2 9B
Avg Score:51.7%(+36.4%)
Providers:0