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DeepSeek VL2 Tiny vs Gemini 1.5 Flash
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 16.9% higher average benchmark score. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
7 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek VL2 Tiny
Average Score:47.2%
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Gemini 1.5 Flash
Average Score:64.1%(+16.9%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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
1 providers
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DeepSeek VL2 Tiny
Avg Score:47.2%
Providers:0
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Gemini 1.5 Flash
Avg Score:64.1%(+16.9%)
Providers:1