Qwen-Long vs Qwen-Omni-Turbo
Compare Qwen-Long and Qwen-Omni-Turbo. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | Qwen-Long | Qwen-Omni-Turbo |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 10,000,000 tokens | 32,768 tokens |
| Input Cost | $0.07/ 1M tokens | $0.06/ 1M tokens |
| Output Cost | $0.29/ 1M tokens | $0.23/ 1M tokens |
Strengths & Best Use Cases
Qwen-Long
Alibaba Cloud1. Extremely long context window
- Up to 10 million tokens.
2. Ideal for document-heavy workflows
- Legal, financial, RAG, compliance, research.
3. Low-cost for large-scale ingestion
- Optimized pricing for big inputs.
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.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for Qwen-Long
textProfessional Email Rewriter
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Best for Qwen-Omni-Turbo
multimodalContent Repurposing System (1 → Many Channels)
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
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Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
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