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 a referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Design a marketing performance dashboard that tracks persona engagement, USP resonance, and the impact on solving key challenges.
Generate a complete month of social media content ideas organized by platform, content type, and posting schedule.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
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