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High Reasoning

GPT-5 Mini

GPT-5 Mini delivers lightning-fast, cost-efficient reasoning for structured tasks like coding, logic, and multimodal analysis, all at just $0.25/$2 per million tokens. As OpenAI's optimized compact powerhouse in the GPT-5 series, it balances high performance with low latency for seamless real-world workflows.

400k Context
High Intelligence
May '24 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
88.7%
HumanEval
96.3%
Artificial Analysis Intelligence Index
41

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use GPT-5 Mini?

Native Multimodal Support

Processes text and image inputs for tasks like visual question answering and document analysis

Advanced Reasoning Capabilities

Dynamically adjusts reasoning effort for complex problem-solving and multi-step tasks

Large Context Window

Handles up to 400K input tokens and 128K output tokens for long-form summarization and agentic workflows

Capability Examples

Complex Reasoning
Solve this multi-step math problem: If a train leaves at 60 mph and another at 70 mph from stations 300 miles apart, when do they meet if closing at constant speed?
They meet after 2.727 hours (163.6 minutes), as relative speed is 130 mph and time = 300/130. Calculation: t = 300 / (60 + 70) = 300/130 ≈ 2.31 hours? Wait, precise: 30/13 hours exactly. First train travels 60(30/13) ≈ 138.46 miles.
Vision Analysis
Describe this image [user uploads chart] and predict trends.
The line chart shows sales rising 25% Q1-Q2, peaking at $500K in Q3, then dipping 10% in Q4. Trend prediction: Upward cycle resumes Q1 2026 with seasonal boost, based on historical patterns and linear regression fit.
Coding Assistant
Write Python code to scrape weather data from an API, parse JSON, and plot temperature trends using matplotlib.
python\nimport requests\nimport matplotlib.pyplot as plt\ndata = requests.get('api.weather.com/forecast').json()\ntemps = [d['temp'] for d in data['days']]\nplt.plot(temps)\nplt.title('Temperature Trends')\nplt.show()\n Optimized for GPT-5 Mini's low-latency inference.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure GPT-5 Mini is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is GPT-5 Mini better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

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