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Gemini Diffusion vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 51.9% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
1 month newer
o4-mini
OpenAI
2025-04-16
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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o4-mini
Average Score:80.7%(+51.9%)
Performance comparison across key benchmark categories
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Gemini Diffusion
Coding22.9%
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o4-mini
Coding68.1%(+45.2%)
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Knowledge Cutoff
Training data recency comparison
o4-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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o4-mini
1 providers
OpenAI
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Gemini Diffusion
Avg Score:28.9%
Providers:0
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o4-mini
Avg Score:80.7%(+51.9%)
Providers:1