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

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.

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.

o1-preview
OpenAI
2024-09-12

Qwen2.5-Omni-7B
Alibaba
2025-03-27
6 months newer
Performance Metrics
Context window and performance specifications

o1-preview

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

o1-preview

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

o1-preview

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

o1-preview
Azure
OpenAI

Qwen2.5-Omni-7B

o1-preview

Qwen2.5-Omni-7B