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DeepSeek VL2 vs DeepSeek VL2 Tiny
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 7.8% higher average benchmark score. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
Launched on the same date
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2
Average Score:70.9%(+7.8%)
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DeepSeek VL2 Tiny
Average Score:63.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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DeepSeek VL2 Tiny
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DeepSeek VL2
Avg Score:70.9%(+7.8%)
Providers:1
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DeepSeek VL2 Tiny
Avg Score:63.1%
Providers:0