Compare GPT-4.1 Nano and Qwen-Long. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Qwen-Long |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 10,000,000 tokens |
| Input Cost | $0.10/ 1M tokens | $0.07/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $0.29/ 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. Extremely long context window
2. Ideal for document-heavy workflows
3. Low-cost for large-scale ingestion
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.
Generate a short, professional follow-up text/email to visiting agents to collect quick feedback on price, condition, and client interest.
Conduct comprehensive operational audits with this AI prompt, delivering C-suite grade strategies for measurable ROI within 90 days.
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
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