GPT-5 Mini vs Qwen3-Omni-Flash
Compare GPT-5 Mini and Qwen3-Omni-Flash. Find out which one is better for your use case.
Model Comparison
| Feature | GPT-5 Mini | Qwen3-Omni-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 400,000 tokens | 65,536 tokens |
| Input Cost | $0.25 / 1M tokens | $0.43 / 1M tokens |
| Output Cost | $2.00 / 1M tokens | $1.66 / 1M tokens |
Strengths & Best Use Cases
GPT-5 Mini
1. High reasoning performance
- Retains strong reasoning capabilities despite being a smaller, faster model.
- Suitable for tasks requiring accurate logic and structured thinking.
2. Fast and cost-efficient
- Optimized for speed, making it ideal for real-time or high-volume workloads.
- Far cheaper than GPT-5 while maintaining solid capability.
3. Great for well-defined tasks
- Excels when prompts are precise and objectives are clearly specified.
- More predictable and stable for deterministic workflows.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Tool support
- Works with Web Search, File Search, Code Interpreter, MCP.
- (Does not support Image Generation as a tool and does not support Computer Use.)
Qwen3-Omni-Flash
1. 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.
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