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.
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Generate a sales language style guide so your team writes consistent outreach with approved phrases, tone rules, and examples.
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Create professional LinkedIn posts that establish thought leadership, drive engagement, and grow your network.
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
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