Compare Qwen3-Flash and Qwen-Omni-Turbo. Find out which model is better for your specific use case and requirements.
| Feature | Qwen3-Flash | Qwen-Omni-Turbo |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 1,000,000 tokens | 32,768 tokens |
| Input Cost | $0.02/ 1M tokens | $0.06/ 1M tokens |
| Output Cost | $0.22/ 1M tokens | $0.23/ 1M tokens |
1. Enhanced Flash-generation performance
2. Very inexpensive
3. Hybrid thinking mode
4. Large context capacity
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.
Design a marketing technology stack that supports executing and measuring persona-targeted campaigns centered on your USP and challenges.
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Evaluate and improve a cold sales email using a weighted scorecard (clarity, relevance, proof, CTA, deliverability) with specific rewrite suggestions.
Develop a retention strategy that reinforces your USP, improves customer outcomes, and responds to evolving persona challenges.
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