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DeepSeek-V3 vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 8.8% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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DeepSeek-V3
Average Score:38.4%(+8.8%)
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Gemma 2 9B
Average Score:29.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Gemma 2 9B
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DeepSeek-V3
Avg Score:38.4%(+8.8%)
Providers:1
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Gemma 2 9B
Avg Score:29.5%
Providers:0