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Gemini Diffusion vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 9.9% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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Gemini Diffusion was developed as a specialized model for image generation, designed to create high-quality visual content through diffusion-based techniques. Built to complement the text and multimodal capabilities of the Gemini family, it extends Google's AI capabilities into creative visual generation tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemini Diffusion
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini Diffusion
Average Score:40.4%
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GPT-4.1 nano
Average Score:50.3%(+9.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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 Diffusion
0 providers
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GPT-4.1 nano
1 providers
OpenAI
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Gemini Diffusion
Avg Score:40.4%
Providers:0
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GPT-4.1 nano
Avg Score:50.3%(+9.9%)
Providers:1