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DeepSeek-V3 vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 13.3% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
6 months newer
Gemma 2 27B
2024-06-27
DeepSeek-V3
DeepSeek
2024-12-25
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3
Average Score:88.5%(+13.3%)
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Gemma 2 27B
Average Score:75.2%
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 27B
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DeepSeek-V3
Avg Score:88.5%(+13.3%)
Providers:1
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Gemma 2 27B
Avg Score:75.2%
Providers:0