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DeepSeek VL2 Tiny vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 21.3% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
10 months newer
Gemini 1.0 Pro
2024-02-15
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek VL2 Tiny
Average Score:42.1%(+21.3%)
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Gemini 1.0 Pro
Average Score:20.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 Tiny
0 providers
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Gemini 1.0 Pro
1 providers
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DeepSeek VL2 Tiny
Avg Score:42.1%(+21.3%)
Providers:0
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Gemini 1.0 Pro
Avg Score:20.7%
Providers:1