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DeepSeek VL2 Tiny vs Gemini 1.5 Flash 8B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 3.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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.
9 months newer
Gemini 1.5 Flash 8B
2024-03-15
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek VL2 Tiny
Average Score:35.3%(+3.9%)
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Gemini 1.5 Flash 8B
Average Score:31.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash 8B
2024-10-01
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 1.5 Flash 8B
1 providers
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DeepSeek VL2 Tiny
Avg Score:35.3%(+3.9%)
Providers:0
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Gemini 1.5 Flash 8B
Avg Score:31.4%
Providers:1