GPT-5 vs o3
Compare GPT-5 and o3. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5 | 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 |
Strengths & Best Use Cases
GPT-5
OpenAI1. High reasoning capability
- Designed for intelligent reasoning across complex domains.
- Supports reasoning tokens and adjustable reasoning effort.
2. Strong coding and agentic performance
- Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
- Handles complex logic, planning, and structured problem solving reliably.
3. Multimodal input
- Accepts text + image as input.
- Produces text outputs with strong instruction following.
4. Extensive tool support
- Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
- Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.
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.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-5
textSales Language Style Guide
Generate a sales language style guide so your team writes consistent outreach with approved phrases, tone rules, and examples.
Marketing Event Strategy (Workshops + Networking)
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
SEO Prompt Builder (Brief + Constraints)
Turn a vague SEO task into a precise, high-quality prompt with role, goal, formatting rules, and required inputs.
Best for o3
textRaw Land Due Diligence Checklist (Before You Close)
Generate a comprehensive due diligence checklist for raw land deals, covering title, access, zoning, and environmental risk.
Video Tutorials (Implementation Walkthroughs)
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
Prepare a Case (Outcome Matrix + Preparation Plan)
Map likely outcomes for a dispute and generate a practical preparation plan across facts, evidence, procedure, and settlement.
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