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DeepSeek-V3 0324 vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 35.9% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
9 months newer
Gemma 2 27B
2024-06-27
DeepSeek-V3 0324
DeepSeek
2025-03-25
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-V3 0324
Average Score:16.8%
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Gemma 2 27B
Average Score:52.7%(+35.9%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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Gemma 2 27B
0 providers
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DeepSeek-V3 0324
Avg Score:16.8%
Providers:1
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Gemma 2 27B
Avg Score:52.7%(+35.9%)
Providers:0