Gemma 2 27B vs DeepSeek-V2.5 Comparison
Comparing Gemma 2 27B and DeepSeek-V2.5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 2 27B outperforms in 0 benchmarks, while DeepSeek-V2.5 is better at 4 benchmarks (GSM8k, HumanEval, MATH, MMLU).
DeepSeek-V2.5 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-V2.5 has 208.8B more parameters than Gemma 2 27B, making it 767.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).
License
Usage and distribution terms
Gemma 2 27B is licensed under Gemma, while DeepSeek-V2.5 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
deepseek
Open weights
Release Timeline
When each model was launched
Gemma 2 27B was released on 2024-06-27, while DeepSeek-V2.5 was released on 2024-05-08.
Gemma 2 27B is 2 months newer than DeepSeek-V2.5.
Jun 27, 2024
1.7 years ago
1mo newerMay 8, 2024
1.9 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
Gemma 2 27B
View details
DeepSeek-V2.5
View detailsDeepSeek
Detailed Comparison
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