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Get started freeGemini 2.5 Pro Experimental vs Qwen-Max
Compare Gemini 2.5 Pro Experimental and Qwen-Max. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Gemini 2.5 Pro Experimental | Qwen-Max |
|---|---|---|
| Provider | Alibaba Cloud | |
| Model Type | text | text |
| Context Window | 1,048,576 tokens | 32,768 tokens |
| Input Cost | $1.50/ 1M tokens | $1.60/ 1M tokens |
| Output Cost | $6.00/ 1M tokens | $6.40/ 1M tokens |
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With Appaca you don't have to pick — build apps that are powered by Gemini 2.5 Pro Experimental, Qwen-Max, for your specific use case.
Build your first app freeStrengths & Best Use Cases
Gemini 2.5 Pro Experimental
Google1. State-of-the-art reasoning performance
- #1 on LMArena human preference leaderboard.
- Excels at advanced reasoning benchmarks like GPQA and AIME 2025.
- Achieves 18.8% on Humanity's Last Exam (no tools), representing frontier human-level reasoning.
2. New “thinking model” architecture
- Built with explicit reasoning steps internally before responding.
- Handles complex, multi-stage logic with higher accuracy and fewer hallucinations.
3. Elite science and mathematics capabilities
- Leads in math and science tasks across industry benchmarks.
- High performance without costly inference tricks like majority voting.
4. Exceptional coding abilities
- Major leap over Gemini 2.0 in coding performance.
- 63.8% on SWE-Bench Verified with custom agent setup.
- Strong at code transformation, debugging, and building agentic apps.
- Capable of generating full applications (e.g., a playable video game) from a single-line prompt.
5. Massive multimodal context
- Ships with a 1,000,000 token window (2M coming soon).
- Handles entire documents, datasets, video sequences, audio files, and large codebases.
- Maintains strong performance even at extreme context lengths.
6. Native multimodality across all inputs
- Understands and reasons over text, images, audio, video, and code.
- Designed for real-world, multi-source problem-solving and agent workflows.
7. Consistent high-quality outputs
- Improved post-training results in more accurate, coherent, and stylistically strong responses.
- Higher reliability across complex workloads.
8. Early availability for developers
- Available today in Google AI Studio for experimentation.
- Coming soon to Vertex AI with higher rate limits and production-ready access.
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.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Gemini 2.5 Pro Experimental
textAdventure Travel Itinerary
Plan an adventure travel itinerary with outdoor and adrenaline activities front and center. Practical logistics for active travelers.
Customer Escalation Response
Write a senior-level response to an escalated customer complaint.
Zero-Click SERP ROI Strategy
Build an SEO strategy to generate business value even when the SERP answers the question (snippets, PAA, AI overviews).
Best for Qwen-Max
textScope Creep Response
Write a professional response to push back on scope creep in a project.
Homepage Hero Copywriting
Write multiple homepage hero copy options with headlines and subheadings.
Travel Itinerary Generator
Create personalized day-by-day travel itineraries for any destination, budget, and travel style.