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Get started freeGPT-5.2 vs Gemini 2.5 Pro Experimental
Compare GPT-5.2 and Gemini 2.5 Pro Experimental. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | Gemini 2.5 Pro Experimental |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,048,576 tokens |
| Input Cost | $1.75/ 1M tokens | $1.50/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $6.00/ 1M tokens |
Put these models to work for you
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Strengths & Best Use Cases
GPT-5.2
OpenAI1. Advanced Reasoning for Diverse Domains
- Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.
2. Multi-Modal & Long-Form Capabilities
- Handles both text and image inputs, producing text output.
- Allows up to 128 k output tokens for lengthy responses.
3. Large Context & Updated Knowledge
- 400 k token context window accommodates extensive codebases or documents.
- Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.
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.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.2
textUser-Generated Content Campaign (Social Proof at Scale)
Create a UGC campaign that encourages your persona to share wins and stories that prove your USP and relate to common challenges.
Welcome Email Series Generator
Create a complete automated welcome email sequence that nurtures new subscribers and drives conversions.
AI Tutor - Concept Explainer
Create an AI tutor that explains complex concepts in simple terms, adapting to the students learning level and style.
Best for Gemini 2.5 Pro Experimental
textMarketing Event Strategy (Workshops + Networking)
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
SEO Prompt Builder (Brief + Constraints)
Turn a vague SEO task into a precise, high-quality prompt with role, goal, formatting rules, and required inputs.
Create Discovery Questions (Interrogatories + RFPs + RFAs)
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
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