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

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.

Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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-Omni-7B
Alibaba
2025-03-27

GPT-4.1
OpenAI
2025-04-14
18 days newer
Performance Metrics
Context window and performance specifications

GPT-4.1

Qwen2.5-Omni-7B
Average performance across 3 common benchmarks

GPT-4.1

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

GPT-4.1

Qwen2.5-Omni-7B
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1
OpenAI

Qwen2.5-Omni-7B

GPT-4.1

Qwen2.5-Omni-7B