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DeepSeek R1 Zero vs Gemma 3 27B
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 49.8% higher average benchmark score. Gemma 3 27B supports multimodal inputs. Gemma 3 27B is available on 2 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemma 3 27B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek R1 Zero
Average Score:10.9%
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Gemma 3 27B
Average Score:60.8%(+49.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Gemma 3 27B
2 providers
DeepInfra
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DeepSeek R1 Zero
Avg Score:10.9%
Providers:0
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Gemma 3 27B
Avg Score:60.8%(+49.8%)
Providers:2