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DeepSeek-V3.1 vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 3.1% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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-V3.1
DeepSeek
2025-01-10
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek-V3.1
Average Score:29.2%
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Gemma 2 9B
Average Score:32.3%(+3.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Gemma 2 9B
0 providers
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DeepSeek-V3.1
Avg Score:29.2%
Providers:2
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Gemma 2 9B
Avg Score:32.3%(+3.1%)
Providers:0