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DeepSeek VL2 vs Gemini Diffusion
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 21.8% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.
5 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek VL2
Average Score:41.4%(+21.8%)
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Gemini Diffusion
Average Score:19.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Gemini Diffusion
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DeepSeek VL2
Avg Score:41.4%(+21.8%)
Providers:1
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Gemini Diffusion
Avg Score:19.6%
Providers:0