GPT-5 Mini vs o3
Compare GPT-5 Mini and o3. Find out which one is better for your use case.
Model Comparison
| Feature | GPT-5 Mini | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $0.25 / 1M tokens | $2.00 / 1M tokens |
| Output Cost | $2.00 / 1M tokens | $8.00 / 1M tokens |
Strengths & Best Use Cases
GPT-5 Mini
1. High reasoning performance
- Retains strong reasoning capabilities despite being a smaller, faster model.
- Suitable for tasks requiring accurate logic and structured thinking.
2. Fast and cost-efficient
- Optimized for speed, making it ideal for real-time or high-volume workloads.
- Far cheaper than GPT-5 while maintaining solid capability.
3. Great for well-defined tasks
- Excels when prompts are precise and objectives are clearly specified.
- More predictable and stable for deterministic workflows.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Tool support
- Works with Web Search, File Search, Code Interpreter, MCP.
- (Does not support Image Generation as a tool and does not support Computer Use.)
o3
1. 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.
Turn your AI ideas into AI products with the right AI model
Appaca is the complete platform for building AI agents, automations, and customer-facing interfaces. No coding required.
Customer-facing Interface
Create and style user interfaces for your AI agents and tools easily according to your brand.
Multimodel LLMs
Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.
Agentic workflows and integrations
Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
Trusted by incredible people at
All you need to launch and sell your AI products with the right AI model
Appaca provides out-of-the-box solutions your AI apps need.
Monetize your AI
Sell your AI agents and tools as a complete product with subscription and AI credits billing. Generate revenue for your busienss.
“I've built with various AI tools and have found Appaca to be the most efficient and user-friendly solution.”
Cheyanne Carter
Founder & CEO, Edubuddy
Put your AI idea in front of your customers today
Use Appaca to build and launch your AI products in minutes.