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DeepSeek-V3 vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 14.8% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
4 months newer
DeepSeek-V3
DeepSeek
2024-12-25
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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DeepSeek-V3
Average Score:46.2%(+14.8%)
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Gemini Diffusion
Average Score:31.4%
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%(+19.1%)
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Gemini Diffusion
Coding22.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Gemini Diffusion
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DeepSeek-V3
Avg Score:46.2%(+14.8%)
Providers:1
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Gemini Diffusion
Avg Score:31.4%
Providers:0