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DeepSeek-V2.5 vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 3.3% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation 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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemini Diffusion
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V2.5
Average Score:52.9%
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Gemini Diffusion
Average Score:56.3%(+3.3%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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Gemini Diffusion
Coding22.9%(+6.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:52.9%
Providers:3
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Gemini Diffusion
Avg Score:56.3%(+3.3%)
Providers:0