Model Comparison
DeepSeek VL2 vs o1-preview
Comparing DeepSeek VL2 and o1-preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 and o1-preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
DeepSeek VL2 accepts 129,280 input tokens compared to o1-preview's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while o1-preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek VL2 supports multimodal inputs, whereas o1-preview does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2
o1-preview
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while o1-preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while o1-preview was released on 2024-09-12.
DeepSeek VL2 is 3 months newer than o1-preview.
Dec 13, 2024
1.3 years ago
3mo newerSep 12, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. o1-preview is available from OpenAI, Azure.
DeepSeek VL2
o1-preview
Outputs Comparison
Key Takeaways
DeepSeek VL2
View detailsDeepSeek
o1-preview
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 vs o1-preview