GPT-5 vs Qwen-Omni-Turbo
Compare GPT-5 and Qwen-Omni-Turbo. Find out which one is better for your use case.
Model Comparison
| Feature | GPT-5 | Qwen-Omni-Turbo |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 400,000 tokens | 32,768 tokens |
| Input Cost | $1.25 / 1M tokens | $0.06 / 1M tokens |
| Output Cost | $10.00 / 1M tokens | $0.23 / 1M tokens |
Strengths & Best Use Cases
GPT-5
1. High reasoning capability
- Designed for intelligent reasoning across complex domains.
- Supports reasoning tokens and adjustable reasoning effort.
2. Strong coding and agentic performance
- Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
- Handles complex logic, planning, and structured problem solving reliably.
3. Multimodal input
- Accepts text + image as input.
- Produces text outputs with strong instruction following.
4. Extensive tool support
- Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
- Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.
Qwen-Omni-Turbo
1. 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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