Compare Qwen-Omni-Turbo and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | Qwen-Omni-Turbo | QVQ-Max |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | multimodal | vision |
| Context Window | 32,768 tokens | 131,072 tokens |
| Input Cost | $0.06/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $0.23/ 1M tokens | $4.59/ 1M tokens |
1. Fast multimodal understanding
2. Supports text+audio outputs
3. Strong cross-modal alignment
1. Strongest visual reasoning in Qwen lineup
2. Great for math + vision hybrids
3. High-quality instruction following
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Optimize your website SEO by targeting persona problem keywords and showcasing your USP through high-intent content.
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
Identify top counties/metros for vacant land flips by comparing appreciation, liquidity, and demand signals across target regions.
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
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Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.

Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
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