Compare GPT-4.1 Nano and Qwen-Omni-Turbo. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Qwen-Omni-Turbo |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 1,047,576 tokens | 32,768 tokens |
| Input Cost | $0.10/ 1M tokens | $0.06/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $0.23/ 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. Fast multimodal understanding
2. Supports text+audio outputs
3. Strong cross-modal alignment
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Create a complete automated welcome email sequence that nurtures new subscribers and drives conversions.
Generate detailed outlines for blog posts to streamline your writing process and ensure comprehensive coverage.
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Create an ABM campaign targeting high-value accounts with tailored messages that connect persona challenges to your USP.
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
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