Qwen-Max vs Qwen-Omni-Turbo
Compare Qwen-Max and Qwen-Omni-Turbo. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | Qwen-Max | Qwen-Omni-Turbo |
|---|---|---|
| Provider | Alibaba Cloud | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 32,768 tokens | 32,768 tokens |
| Input Cost | $1.60/ 1M tokens | $0.06/ 1M tokens |
| Output Cost | $6.40/ 1M tokens | $0.23/ 1M tokens |
Strengths & Best Use Cases
Qwen-Max
Alibaba Cloud1. Strong general-purpose reasoning
- Great for coding, analysis, creation, and multi-step tasks.
2. Stable commercial-grade model
- Predictable output quality and long-term stability.
3. Supports batch operations
- Batch inference is 50% cheaper.
4. Good for production agents
- Reliable instruction following and structured output.
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.
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Best for Qwen-Omni-Turbo
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