Compare Gemini 2.5 Pro Experimental and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | Gemini 2.5 Pro Experimental | QVQ-Max |
|---|---|---|
| Provider | Alibaba Cloud | |
| Model Type | text | vision |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Input Cost | $1.50/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $6.00/ 1M tokens | $4.59/ 1M tokens |
1. State-of-the-art reasoning performance
2. New “thinking model” architecture
3. Elite science and mathematics capabilities
4. Exceptional coding abilities
5. Massive multimodal context
6. Native multimodality across all inputs
7. Consistent high-quality outputs
8. Early availability for developers
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.
Generate high-converting cold emails for sales, networking, or partnerships.
Create a UGC campaign that encourages your persona to share wins and stories that prove your USP and relate to common challenges.
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Outline a high-value neighborhood guide blog post that positions you as the local expert with sections for food, parks/schools, vibe, and commute.
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Rewrite your rough drafts into polished, professional emails suitable for any business context.
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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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