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DeepSeek VL2 vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 3.6K more tokens in context window than DeepSeek VL2. DeepSeek-R1 is $4806.76 cheaper per million tokens. DeepSeek VL2 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 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.
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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
DeepSeek
2024-12-13
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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DeepSeek-R1
Input:$0.55
Output:$2.19($4806.76 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2
Average Score:70.9%(+70.9%)
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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
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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DeepSeek-R1
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DeepSeek VL2
Avg Score:70.9%(+70.9%)
Providers:1
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DeepSeek-R1
Avg Score:0.0%
Providers:5