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

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba'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 7B Instruct
Alibaba
2024-09-19

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

Qwen2.5 7B Instruct

Qwen2.5-Omni-7B
Average performance across 9 common benchmarks

Qwen2.5 7B Instruct

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

Qwen2.5 7B Instruct

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

Qwen2.5 7B Instruct
Together

Qwen2.5-Omni-7B

Qwen2.5 7B Instruct

Qwen2.5-Omni-7B