Compare Qwen-Flash and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.
| Feature | Qwen-Flash | Qwen3-Omni-Flash |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 1,000,000 tokens | 65,536 tokens |
| Input Cost | $0.02/ 1M tokens | $0.43/ 1M tokens |
| Output Cost | $0.22/ 1M tokens | $1.66/ 1M tokens |
1. Ultra-fast, ultra-cheap
2. Limited reasoning but great utility
3. Optional thinking mode
4. Supports context cache & batch calls
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.
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Create a complete automated welcome email sequence that nurtures new subscribers and drives conversions.
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
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Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
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