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Gemini Diffusion vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 30.3% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 4B
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 4B
Average Score:45.9%(+30.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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Gemma 3 4B
1 providers
DeepInfra
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Gemini Diffusion
Avg Score:15.6%
Providers:0
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Gemma 3 4B
Avg Score:45.9%(+30.3%)
Providers:1