Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek VL2
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%). The model shows particular specialization in vision tasks with an average performance of 76.7%. 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.

GPT-4o
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

GPT-4o
OpenAI
2024-05-13

DeepSeek VL2
DeepSeek
2024-12-13
7 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek VL2

GPT-4o
Performance Metrics
Context window and performance specifications

DeepSeek VL2

GPT-4o
Average performance across 1 common benchmarks

DeepSeek VL2

GPT-4o
Performance comparison across key benchmark categories

DeepSeek VL2

GPT-4o
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

GPT-4o
Azure
OpenAI

DeepSeek VL2

GPT-4o