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DeepSeek-V2.5 vs Gemma 3 27B
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 16.7% 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. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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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 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3 27B
2025-03-12
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 38 common benchmarks
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DeepSeek-V2.5
Average Score:28.1%
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Gemma 3 27B
Average Score:44.8%(+16.7%)
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:28.1%
Providers:3
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Gemma 3 27B
Avg Score:44.8%(+16.7%)
Providers:2