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 step-by-step negotiation plan for land deals using MAO, comps, and risk-based justifications for price reductions.
Create detailed scoring rubrics for any assignment type with clear criteria and performance level descriptors.
Design a webinar series that showcases expertise, teaches actionable insights, and positions your USP as a solution to persona challenges.
Generate engaging Instagram captions that boost engagement and grow your following with scroll-stopping hooks and strategic hashtags.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Create a lead nurturing email series that educates prospects, ties your USP to outcomes, and overcomes persona objections and challenges.
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