DeepSeek-V3 vs Gemma 2 9B Comparison
Comparing DeepSeek-V3 and Gemma 2 9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while Gemma 2 9B is better at 0 benchmarks.
DeepSeek-V3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek-V3 has 661.8B more parameters than Gemma 2 9B, making it 7161.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemma 2 9B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while Gemma 2 9B was released on 2024-06-27.
DeepSeek-V3 is 6 months newer than Gemma 2 9B.
Dec 25, 2024
1.2 years ago
6mo newerJun 27, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Gemma 2 9B
View detailsDetailed Comparison
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