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DeepSeek VL2 Small vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 4.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.
12 days newer
Gemini 2.0 Flash
2024-12-01
DeepSeek VL2 Small
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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DeepSeek VL2 Small
Average Score:37.5%(+4.1%)
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Gemini 2.0 Flash
Average Score:33.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Gemini 2.0 Flash
1 providers
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DeepSeek VL2 Small
Avg Score:37.5%(+4.1%)
Providers:0
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Gemini 2.0 Flash
Avg Score:33.3%
Providers:1