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Gemini Diffusion vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 14.1% higher average benchmark score. GPT-4.1 mini supports multimodal inputs. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini 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 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
1 month newer
GPT-4.1 mini
OpenAI
2025-04-14
Gemini Diffusion
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini Diffusion
Average Score:28.9%
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GPT-4.1 mini
Average Score:42.9%(+14.1%)
Performance comparison across key benchmark categories
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Gemini Diffusion
Coding22.9%
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GPT-4.1 mini
Coding23.6%(+0.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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 mini
2 providers
OpenAI
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Gemini Diffusion
Avg Score:28.9%
Providers:0
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GPT-4.1 mini
Avg Score:42.9%(+14.1%)
Providers:2