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DeepSeek-V2.5 vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 30.6% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
1 month newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 2 9B
2024-06-27
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V2.5
Average Score:84.8%(+30.6%)
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Gemma 2 9B
Average Score:54.2%
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:84.8%(+30.6%)
Providers:3
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Gemma 2 9B
Avg Score:54.2%
Providers:0