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

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.

o1-preview
OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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.

o1-preview
OpenAI
2024-09-12

DeepSeek VL2 Tiny
DeepSeek
2024-12-13
3 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Tiny

o1-preview
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

o1-preview
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

o1-preview
Azure
OpenAI

DeepSeek VL2 Tiny

o1-preview