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Gemini 1.0 Pro vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 1.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemini 1.0 Pro
Average Score:24.2%
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Gemini Diffusion
Average Score:26.1%(+1.9%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Gemini Diffusion
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Gemini 1.0 Pro
Avg Score:24.2%
Providers:1
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Gemini Diffusion
Avg Score:26.1%(+1.9%)
Providers:0