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Gemini Diffusion vs GPT-5 nano
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 16.9% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, Gemini Diffusion 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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OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.
2 months newer
Gemini Diffusion
2025-05-20
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemini Diffusion
Average Score:36.1%(+16.9%)
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GPT-5 nano
Average Score:19.3%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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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GPT-5 nano
2 providers
OpenAI
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Gemini Diffusion
Avg Score:36.1%(+16.9%)
Providers:0
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GPT-5 nano
Avg Score:19.3%
Providers:2