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DeepSeek-V2.5 vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 1.2% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
1 month newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 2 9B
2024-06-27
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V2.5
Average Score:39.5%(+1.2%)
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Gemma 2 9B
Average Score:38.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:39.5%(+1.2%)
Providers:3
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Gemma 2 9B
Avg Score:38.3%
Providers:0