GPT-5.4 vs Gemini 3.1 Pro
Compare GPT-5.4 and Gemini 3.1 Pro. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | Gemini 3.1 Pro |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 1,048,576 tokens |
| Input Cost | $2.50/ 1M tokens | $4.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $18.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.4
OpenAI1. Best Intelligence at Scale
- OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
- Built for complex professional work where stronger reasoning and higher answer quality matter.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
- Accepts both text and image inputs while producing text output.
3. Massive Context for Long-Running Work
- 1.05M token context window supports very large codebases, documents, and multi-step workflows.
- Allows up to 128 k output tokens for long-form answers and larger generations.
4. Updated Knowledge & Broad Tool Support
- Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
- Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.
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-5.4
textEmail Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
User-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.
Customer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Best for Gemini 3.1 Pro
textUncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Quiz & Assessment Question Generator
Generate diverse quiz questions at various difficulty levels with answer keys and explanations.
Formative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.