Compare Gemini 2.5 Pro Experimental and Qwen3-Omni-Flash. Find out which model is better for your specific use case and requirements.
| Feature | Gemini 2.5 Pro Experimental | Qwen3-Omni-Flash |
|---|---|---|
| Provider | Alibaba Cloud | |
| Model Type | text | multimodal |
| Context Window | 1,048,576 tokens | 65,536 tokens |
| Input Cost | $1.50/ 1M tokens | $0.43/ 1M tokens |
| Output Cost | $6.00/ 1M tokens | $1.66/ 1M tokens |
1. State-of-the-art reasoning performance
2. New “thinking model” architecture
3. Elite science and mathematics capabilities
4. Exceptional coding abilities
5. Massive multimodal context
6. Native multimodality across all inputs
7. Consistent high-quality outputs
8. Early availability for developers
1. Advanced multimodal reasoning
2. Supports thinking mode
3. 17 voices, 10 languages
4. Designed for real-world interactions
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Transform weak resume responsibilities into strong, results-oriented bullet points.
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
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