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

GPT-5
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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.

Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26

GPT-5
OpenAI
2025-08-07
6 months newer
Performance Metrics
Context window and performance specifications

GPT-5

Qwen2.5 VL 7B Instruct
Average performance across 3 common benchmarks

GPT-5

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

GPT-5

Qwen2.5 VL 7B Instruct
GPT-5
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5
OpenAI
ZeroEval

Qwen2.5 VL 7B Instruct

GPT-5

Qwen2.5 VL 7B Instruct