Compare GPT-4.1 Nano and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Qwen3-Omni-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 1,047,576 tokens | 65,536 tokens |
| Input Cost | $0.10/ 1M tokens | $0.43/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $1.66/ 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. Advanced multimodal reasoning
2. Supports thinking mode
3. 17 voices, 10 languages
4. Designed for real-world interactions
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate efficient, documented, and bug-free code snippets in any programming language.
Generate a complete month of social media content ideas organized by platform, content type, and posting schedule.
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Generate personalized cold emails that get responses using proven frameworks and personalization techniques.
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
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