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

GPT-4o mini
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 OpenAI's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

GPT-4o mini
OpenAI
2024-07-18

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29
1 month newer
Performance Metrics
Context window and performance specifications

GPT-4o mini

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

GPT-4o mini

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
GPT-4o mini
2023-10-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4o mini
Azure

Qwen2-VL-72B-Instruct

GPT-4o mini

Qwen2-VL-72B-Instruct