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Gemini 2.5 Pro Preview 06-05 vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 23.6% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
16 days newer
Gemini Diffusion
2025-05-20
Gemini 2.5 Pro Preview 06-05
2025-06-05
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:49.7%(+23.6%)
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Gemini Diffusion
Average Score:26.1%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
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 Pro Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini Diffusion
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Gemini 2.5 Pro Preview 06-05
Avg Score:49.7%(+23.6%)
Providers:1
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Gemini Diffusion
Avg Score:26.1%
Providers:0