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.

Qwen3 235B A22B
Alibaba
Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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

Qwen3 235B A22B
Alibaba
2025-04-29
1 month newer
Performance Metrics
Context window and performance specifications

Qwen2.5-Omni-7B

Qwen3 235B A22B
Average performance across 8 common benchmarks

Qwen2.5-Omni-7B

Qwen3 235B A22B
Performance comparison across key benchmark categories

Qwen2.5-Omni-7B

Qwen3 235B A22B
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5-Omni-7B

Qwen3 235B A22B
Together
DeepInfra
Fireworks
Novita

Qwen2.5-Omni-7B

Qwen3 235B A22B