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

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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
2024-11-28

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

Qwen2.5-Omni-7B

QwQ-32B-Preview
Average performance across 1 common benchmarks

Qwen2.5-Omni-7B

QwQ-32B-Preview
Performance comparison across key benchmark categories

Qwen2.5-Omni-7B

QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5-Omni-7B

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Qwen2.5-Omni-7B

QwQ-32B-Preview