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Gemini Diffusion vs Gemma 3 27B
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 41.1% 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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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google'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.
2 months newer
Gemma 3 27B
2025-03-12
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemini Diffusion
Average Score:15.6%
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Gemma 3 27B
Average Score:56.7%(+41.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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Gemma 3 27B
2 providers
DeepInfra
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Gemini Diffusion
Avg Score:15.6%
Providers:0
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Gemma 3 27B
Avg Score:56.7%(+41.1%)
Providers:2