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DeepSeek VL2 Small vs Gemini 2.5 Pro Preview 06-05
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 3.1% 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 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 2025, it represents Google's latest advancement in AI technology.
5 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Gemini 2.5 Pro Preview 06-05
2025-06-05
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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DeepSeek VL2 Small
Average Score:37.5%(+3.1%)
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Gemini 2.5 Pro Preview 06-05
Average Score:34.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Gemini 2.5 Pro Preview 06-05
1 providers
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DeepSeek VL2 Small
Avg Score:37.5%(+3.1%)
Providers:0
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Gemini 2.5 Pro Preview 06-05
Avg Score:34.4%
Providers:1