GPT-4.1 vs Gemini 3.1 Pro
Compare GPT-4.1 and Gemini 3.1 Pro. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-4.1 | Gemini 3.1 Pro |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 1,048,576 tokens |
| Input Cost | $2.00/ 1M tokens | $4.00/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $18.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-4.1
OpenAI1. Smartest non-reasoning model
- Highest intelligence among models without a reasoning step.
- Great for tasks where speed + accuracy matter without deep chain-of-thought.
2. Excellent instruction following
- Very strong at structured tasks, formatting, and precise execution.
- Ideal for productized workflows and deterministic outputs.
3. Reliable tool calling
- Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
- Supports MCP and advanced tool-enabled API flows.
4. Large 1M-token context window
- Allows extremely long conversations, large documents, and multi-file use cases.
- Handles context-heavy tasks without requiring chunking.
5. Low latency (no reasoning step)
- Faster responses than GPT-5 family when reasoning mode isn't required.
- More predictable timing for production use.
6. Multimodal input
- Accepts text + image.
- Output is text only.
7. Supports fine-tuning
- Can be fine-tuned for specialized tasks.
- Also supports distillation for smaller custom models.
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-4.1
textEmployee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Data-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
CTR Meta Title + Description Writer
Write multiple CTR-focused meta title/description variants aligned to intent and differentiators.
Best for Gemini 3.1 Pro
textAvatar 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.
Collaboration Outreach Request
Draft collaboration outreach messages for partnerships, co-marketing, podcasts, affiliates, and integrations-with clear value exchange and next steps.
Sales Objection Flipper: Reveal Hidden Pain Points
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.