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DeepSeek R1 Zero vs DeepSeek VL2
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 38.2% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. 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 DeepSeek's latest advancement in AI technology.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek R1 Zero
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek R1 Zero
Average Score:17.0%
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DeepSeek VL2
Average Score:55.1%(+38.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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DeepSeek VL2
1 providers
Replicate
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DeepSeek R1 Zero
Avg Score:17.0%
Providers:0
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DeepSeek VL2
Avg Score:55.1%(+38.2%)
Providers:1