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.

o1
OpenAI
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

DeepSeek VL2
DeepSeek
2024-12-13

o1
OpenAI
2024-12-17
4 days newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek VL2

o1
Performance Metrics
Context window and performance specifications

DeepSeek VL2

o1
Average performance across 2 common benchmarks

DeepSeek VL2

o1
Performance comparison across key benchmark categories

DeepSeek VL2

o1
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

o1
Azure
OpenAI

DeepSeek VL2

o1