Compare Qwen-Omni-Turbo and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.
| Feature | Qwen-Omni-Turbo | Qwen3-Omni-Flash |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | multimodal | multimodal |
| Context Window | 32,768 tokens | 65,536 tokens |
| Input Cost | $0.06/ 1M tokens | $0.43/ 1M tokens |
| Output Cost | $0.23/ 1M tokens | $1.66/ 1M tokens |
1. Fast multimodal understanding
2. Supports text+audio outputs
3. Strong cross-modal alignment
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.
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Design a social media campaign that engages your persona with informative and entertaining content tied to your USP and their challenges.
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
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