Compare GPT-4.1 Nano and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | QVQ-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 1,047,576 tokens | 131,072 tokens |
| Input Cost | $0.10/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $4.59/ 1M tokens |
1. Ultra-Fast, Low-Latency Performance
2. Most Cost-Efficient GPT-4.1 Variant
3. Solid Instruction Following
4. Strong Tool Calling Capabilities
5. Basic Multimodal Input
6. Text-Only Output
7. 1M-Token Context Window
8. Ideal Use Cases
9. Broad API Integration
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.
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Conduct comprehensive operational audits with this AI prompt, delivering C-suite grade strategies for measurable ROI within 90 days.
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Develop a co-marketing partnership strategy with brands serving the same persona, amplifying reach while reinforcing your USP and persona challenges.
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
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