GPT-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 |
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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 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
textSales Language Style Guide
Generate a sales language style guide so your team writes consistent outreach with approved phrases, tone rules, and examples.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Bug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
Best for Gemini 3.1 Pro
textFormative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
Avatar Deep Dive: Persona Simulation for Pain Points
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Governing Statutes & Regulations (Jurisdiction Scan)
Identify the governing statutes, regulations, agencies, and enforcement considerations for a legal issue in a specific jurisdiction.