Compare GPT-5 Nano and Qwen-Turbo. Find out which model is better for your specific use case and requirements.
| Feature | GPT-5 Nano | Qwen-Turbo |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,000,000 tokens |
| Input Cost | $0.05/ 1M tokens | $0.04/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $0.43/ 1M tokens |
1. Extremely fast performance
2. Most cost-efficient GPT-5 model
3. Ideal for lightweight, well-scoped tasks
4. Multimodal input
5. Broad tool support
1. Fast and affordable
2. Supports thinking mode
3. Being replaced by Qwen-Flash
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
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.
Estimate preliminary cost ranges for common land improvements (clearing, driveway, perc, utilities) and identify the best ROI for a flip.
Transform weak resume responsibilities into strong, results-oriented bullet points.
Decide whether to book now or wait by analyzing seasonality, events, and rebooking strategy for business hotels.
Analyze financial statements to understand company health, trends, and investment potential.
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