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 referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Create a complete automated welcome email sequence that nurtures new subscribers and drives conversions.
Compare the true total cost and business amenities of a hotel vs an approved short-term rental for longer stays.
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
Write multiple CTR-focused meta title/description variants aligned to intent and differentiators.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
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