Compare Claude 3 Sonnet and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | Claude 3 Sonnet | QVQ-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 200,000 tokens | 131,072 tokens |
| Input Cost | $3.00/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $4.59/ 1M tokens |
1. Speed + Intelligence Blend
2. Enterprise-Ready
3. Versatile Task Performance
4. Vision Capabilities
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.
Create a customer advocacy program that turns satisfied customers into credible proof of your USP and a source of persona-aligned leads.
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Write a compelling, benefits-driven vacant land listing description tailored to a specific buyer profile and property features.
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct—plus follow-up questions and next steps.
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Create professional LinkedIn posts that establish thought leadership, drive engagement, and grow your network.
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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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