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Gemini 2.0 Flash Thinking vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 20.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini Diffusion is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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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.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemini Diffusion
2025-05-20
Average performance across 12 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:18.6%
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Gemini Diffusion
Average Score:39.1%(+20.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
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 2.0 Flash Thinking
0 providers
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Gemini Diffusion
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:18.6%
Providers:0
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Gemini Diffusion
Avg Score:39.1%(+20.5%)
Providers:0