Model Comparison
GPT-4o vs DeepSeek VL2
DeepSeek VL2 has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 2 benchmarks (AI2D, MMMU), while DeepSeek VL2 is better at 3 benchmarks (ChartQA, DocVQA, MathVista).
DeepSeek VL2 has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
DeepSeek VL2 accepts 129,280 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-4o is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-4o and DeepSeek VL2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
DeepSeek VL2
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
deepseek
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while DeepSeek VL2 was released on 2024-12-13.
DeepSeek VL2 is 4 months newer than GPT-4o.
Aug 6, 2024
1.8 years ago
Dec 13, 2024
1.4 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. DeepSeek VL2 is available from Replicate.
GPT-4o
DeepSeek VL2
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
DeepSeek VL2
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-4o vs DeepSeek VL2.