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.

GPT-4.1
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

GPT-4.1
OpenAI
2025-04-14
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Tiny

GPT-4.1
Average performance across 2 common benchmarks

DeepSeek VL2 Tiny

GPT-4.1
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

GPT-4.1
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

GPT-4.1
OpenAI

DeepSeek VL2 Tiny

GPT-4.1