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DeepSeek VL2 Small vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small supports multimodal inputs. DeepSeek-R1 is available on 5 providers. 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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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
1 month newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
DeepSeek-R1
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2 Small
Average Score:69.6%(+69.6%)
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DeepSeek-R1
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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DeepSeek-R1
5 providers
DeepInfra
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DeepSeek VL2 Small
Avg Score:69.6%(+69.6%)
Providers:0
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DeepSeek-R1
Avg Score:0.0%
Providers:5