Model Comparison

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

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.

OpenAI

o1-pro

OpenAI

o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. 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.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

OpenAI

o1-pro

OpenAI

2024-12-17

4 days newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

general
62.5%
OpenAI

o1-pro

general
+20.0%
82.5%
Knowledge Cutoff
Training data recency comparison

o1-pro

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers
OpenAI

o1-pro

0 providers
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
OpenAI

o1-pro

Avg Score:0.0%
Providers:0