Qwen-Turbo vs Qwen3-Omni-Flash
Compare Qwen-Turbo and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | Qwen-Turbo | Qwen3-Omni-Flash |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 1,000,000 tokens | 65,536 tokens |
| Input Cost | $0.04/ 1M tokens | $0.43/ 1M tokens |
| Output Cost | $0.43/ 1M tokens | $1.66/ 1M tokens |
Strengths & Best Use Cases
Qwen-Turbo
Alibaba Cloud1. Fast and affordable
- Good for standard LLM workloads.
2. Supports thinking mode
- Allows moderate reasoning.
3. Being replaced by Qwen-Flash
- Flash has better pricing and performance.
Qwen3-Omni-Flash
Alibaba Cloud1. Advanced multimodal reasoning
- Vision, audio, video inputs.
2. Supports thinking mode
- Unique for multimodal.
3. 17 voices, 10 languages
- Great for voice agents.
4. Designed for real-world interactions
- Recognition, teaching, analysis.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for Qwen-Turbo
textCold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Lead Scoring System (USP Engagement + Pain Signals)
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Best for Qwen3-Omni-Flash
multimodalMarketing-to-Sales Enablement Training (USP Talk Track)
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
Learning Objectives Generator
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Support Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Use Appaca to make AI tools powered by Qwen-Turbo or Qwen3-Omni-Flash
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