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Gemini 2.5 Flash vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 20.3% higher average benchmark score. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
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Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
Launched on the same date
Gemini 2.5 Flash
2025-05-20
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 2.5 Flash
Average Score:43.7%(+20.3%)
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Gemini Diffusion
Average Score:23.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash
2025-01-31
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 2.5 Flash
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:43.7%(+20.3%)
Providers:2
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Gemini Diffusion
Avg Score:23.5%
Providers:0