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Get started freeGemini 2.5 Pro Experimental vs QVQ-Max
Compare Gemini 2.5 Pro Experimental and QVQ-Max. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Gemini 2.5 Pro Experimental | QVQ-Max |
|---|---|---|
| Provider | Alibaba Cloud | |
| Model Type | text | vision |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Input Cost | $1.50/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $6.00/ 1M tokens | $4.59/ 1M tokens |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by Gemini 2.5 Pro Experimental, QVQ-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.
QVQ-Max
Alibaba Cloud1. Strongest visual reasoning in Qwen lineup
- Handles charts, diagrams, puzzles.
2. Great for math + vision hybrids
- Geometry, visual logic testing.
3. High-quality instruction following
- Consistent formatting and detailed responses.
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
textClassroom Discussion Protocol
Design a structured discussion protocol to increase student participation and depth.
Franchise Agreement Overview
Summarise the key provisions of a franchise agreement for a prospective franchisee.
Compare Loan Offers
Organize and compare loan offers with this AI prompt, revealing true costs and hidden fees for informed financial decisions.
Best for QVQ-Max
visionInfluencer Affiliate Program Brief
Onboard influencers into your affiliate program with a clear, motivating brief. Outlines commission structure and promotional guidelines.
Seller Net Proceeds Estimate Email
Send a seller a net proceeds estimate email in plain language. Sets realistic expectations before listing.
Buyer Drip Email Series
Write a 4-part email drip campaign for real estate buyer leads. Educates, builds trust, and moves leads toward a consultation.