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Get started freeQwen-Flash vs Qwen-Omni-Turbo
Compare Qwen-Flash and Qwen-Omni-Turbo. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Qwen-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 |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by Qwen-Flash, Qwen-Omni-Turbo, for your specific use case.
Build your first app freeStrengths & Best Use Cases
Qwen-Flash
Alibaba Cloud1. Ultra-fast, ultra-cheap
- Designed for mass-scale workloads.
- Excellent for rewriting, extraction, classification.
2. Limited reasoning but great utility
- High throughput, low latency.
3. Optional thinking mode
- Adds chain-of-thought when needed.
4. Supports context cache & batch calls
- Very cost-effective system design.
Qwen-Omni-Turbo
Alibaba Cloud1. Fast multimodal understanding
- Handles text, audio, images.
2. Supports text+audio outputs
- Great for assistants and education.
3. Strong cross-modal alignment
- Solid for recognition, instructions, and conversion tasks.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Qwen-Flash
textOpen Source Contribution Guide
Write a CONTRIBUTING.md for an open source project.
Media Pitch for Personal Brand
Write a media pitch email for a thought leader or expert seeking press coverage. Positions your story angle for journalists.
Grant Proposal Writing
Write a compelling grant proposal section for a non-profit or research project.
Best for Qwen-Omni-Turbo
multimodalPersonal Monthly Retrospective
Conduct a personal retrospective to reflect on progress and adjust strategies.
New Employee Onboarding Plan
Create a 30-60-90 day onboarding plan for a new hire.
SEO FAQ Section
Write an FAQ section optimised for featured snippets and long-tail keywords.