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Compare GPT-5.1 and o3. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.1 | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $1.25/ 1M tokens | $2.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $8.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.1
OpenAI1. Configurable Reasoning for Agentic Tasks
- Built to excel in autonomous or semi-autonomous coding workflows, with adjustable reasoning effort for planning, refactoring and debugging.
2. Fast Multi-Modal Input with Large Output
- Accepts both text and image inputs while producing text outputs.
- Offers up to 128 k output tokens, allowing long responses and code generation across multiple files.
3. Large Context & Knowledge Cut-Off
- 400 k token context window supports processing large codebases or documents.
- Knowledge cut-off of Sep 30 2024 ensures familiarity with recent tools and frameworks.
4. Reasoning Token Support
- Provides explicit support for reasoning tokens, enabling developers to fine-tune the balance between reasoning depth and speed.
o3
OpenAI1. Advanced reasoning capability
- Designed for multi-step thinking across text, code, and visual inputs.
- Excels at math, science, logic puzzles, and complex analytical workflows.
2. Strong performance across domains
- Highly capable in technical writing, data analysis, and structured problem-solving.
- Useful for research, engineering tasks, and intricate instruction-following.
3. Visual reasoning support
- Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.
4. High output capacity
- Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.
5. Excellent instruction following
- Produces detailed, step-by-step responses for tasks requiring precision and clarity.
- Ideal for educational explanations, system design reasoning, and code walkthroughs.
6. Large 200K context window
- Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.
7. Broad API support
- Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
- Supports streaming and function calling for advanced workflows.
8. Positioned as a legacy reasoning model
- Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.
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-5.1
textData-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.
Customer Onboarding Program (Activation + Value)
Create a customer onboarding program that reinforces your USP and sets your persona up for success overcoming their challenges.
Experiential Marketing Campaign (Immersive Brand Story)
Design an experiential campaign that immerses your persona in your brand story and demonstrates how your USP turns challenges into opportunities.
Best for o3
textMarketing Automation Workflow (Journey + Personalization)
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
Email Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Customer Advocacy Program (Activate Champions)
Create a customer advocacy program that turns satisfied customers into credible proof of your USP and a source of persona-aligned leads.
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