Official

openai / o4-mini

OpenAI's fast, lightweight reasoning model

  • Public
  • 245 runs
  • License
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Official model
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This model is priced by how many input tokens are sent and how many output tokens are generated.

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Readme

OpenAI o4-mini is a fast, cost-efficient reasoning model designed for high-throughput tasks that benefit from advanced tool use, multimodal input, and strong analytical performance. It represents a major upgrade in the o-series line, offering high accuracy in math, coding, and visual tasks—all while maintaining low latency and usage cost.

Key Features

  • Optimized for math, code, and visual reasoning
  • Agentic tool use: able to use browsing, Python, and image generation tools within ChatGPT or via the API
  • Natural and conversational, with improved instruction following and memory
  • Ideal for applications requiring quick, reliable reasoning at scale

Benchmark Performance

  • AIME 2025 (no tools): 92.7%
  • AIME 2025 (with tools): 100% consensus@8
  • GPQA Diamond: 81.4%
  • SWE-Bench Verified: 68.1%
  • MMMU (Multimodal understanding): 81.6%
  • MathVista (Visual math): 72.0%
  • Scale MultiChallenge (instruction following): 43%
  • Humanity’s Last Exam (deep research with tools): 26.6%

Ideal Use Cases

  • Real-time assistant applications requiring light compute
  • Structured reasoning with tool use (web browsing, Python)
  • Lightweight document analysis or visual interpretation
  • High-throughput workflows with tight latency budgets

Access and Usage

  • Available in the Chat Completions API and Responses API
  • Supported in ChatGPT (Free: Think mode) and ChatGPT Team, Pro, Enterprise, and Edu
  • Accessible via function calling and tool integration in custom applications