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DeepSeek-V2.5 vs Gemma 3 27B
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 4.6% higher average benchmark score. Gemma 3 27B offers 245.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3 27B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Gemma 3 27B
Input:$0.10
Output:$0.20($0.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:86.3%
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Gemma 3 27B
Average Score:90.9%(+4.6%)
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:86.3%
Providers:3
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Gemma 3 27B
Avg Score:90.9%(+4.6%)
Providers:2