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Get started freeGPT-5.2 vs Gemini 3.1 Pro
Compare GPT-5.2 and Gemini 3.1 Pro. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 | Gemini 3.1 Pro |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,048,576 tokens |
| Input Cost | $1.75/ 1M tokens | $4.00/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $18.00/ 1M tokens |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by GPT-5.2, Gemini 3.1 Pro, for your specific use case.
Build your first app freeKelvin Htat
Business
Apps
New appStrengths & 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 3.1 Pro
Google1. Google's most advanced reasoning Gemini model
- Designed to solve complex problems across multimodal inputs, including text, audio, images, video, PDFs, and full code repositories.
- Google highlights improved software engineering behavior, better agentic performance, and stronger usability in domains like finance and spreadsheets.
2. Large multimodal context with substantial output room
- Supports a 1,048,576 token input context window for large repositories, long documents, and multi-source workflows.
- Allows up to 65,536 output tokens for longer answers, plans, and code generations.
3. More efficient thinking with expanded controls
- Improves token efficiency and reasoning performance across use cases.
- Adds the
MEDIUMthinking_leveloption to better balance cost, speed, and quality.
4. Strong support for production agents
- Supports grounding with Google Search, code execution, function calling, structured outputs, context caching, RAG, and chat completions.
- Also offers a custom-tools endpoint tuned for agentic workflows that mix bash-like tools with custom code tools.
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
textBoard Update One-Pager
Summarise company performance in a concise board-ready one-pager.
SWOT Analysis
Perform a structured SWOT analysis for a business or strategic initiative.
Marketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Best for Gemini 3.1 Pro
textSpend Analysis Report
Analyse company spending patterns and identify optimisation opportunities.
Feature Flag Implementation Guide
Write a guide for implementing a feature flag for a specific feature.
Vendor Cost Analysis
Analyse vendor costs and evaluate alternatives for cost optimisation.