Compare Gemini 2.5 Pro Experimental and Qwen3-Plus. Find out which model is better for your specific use case and requirements.
| Feature | Gemini 2.5 Pro Experimental | Qwen3-Plus |
|---|---|---|
| Provider | Alibaba Cloud | |
| Model Type | text | text |
| Context Window | 1,048,576 tokens | 1,000,000 tokens |
| Input Cost | $1.50/ 1M tokens | $0.12/ 1M tokens |
| Output Cost | $6.00/ 1M tokens | $0.29/ 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. Major upgrade over previous Plus models
2. Supports thinking vs non-thinking modes
3. Improved human preference alignment
4. Excellent for agent-style apps
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Turn basic property details into compelling, SEO-friendly listing copy in two formats: short social teaser and a longer MLS/Zillow description.
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
Create a step-by-step negotiation plan for land deals using MAO, comps, and risk-based justifications for price reductions.
Create a customized weekly meal plan based on your dietary preferences, goals, and cooking time.
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct—plus follow-up questions and next steps.
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Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.

Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
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