GPT-5.4 mini - OpenAI's most powerful small-scale model

What is GPT-5.4 mini?

GPT-5.4 mini is OpenAI's most powerful small model, designed for high-throughput, low-latency scenarios. It's more than twice as fast as its predecessor, GPT-5 mini, and performs nearly as well as the full-fledged GPT-5.4 in tasks such as programming, inference, multimodal understanding, and computer use, all at only one-third the price. GPT-5.4 mini supports 400K context windows, making it suitable for code assistants, sub-agents, real-time image parsing, and other scenarios. It's available on API, Codex, and ChatGPT, making it an ideal choice for building multi-agent systems.

Main functions of GPT-5.4 mini

• Programming DevelopmentIt supports targeted code editing, code repository navigation, front-end generation, and debugging loops, achieving a 54.4% pass rate in the SWE-Bench Pro benchmark test, which is close to the level of a full-fledged GPT-5.4.
• Multimodal understandingThe model can quickly parse complex user interface screenshots and perform real-time visual reasoning, achieving a score of 78% in the MMMUPro benchmark test.
• Computer useThe model possesses powerful screen content parsing and interface element positioning capabilities, achieving 72.1% in the OSWorld-Verified benchmark test, only 3 percentage points lower than GPT-5.4.
• Tool callIt supports function calls, web page search, file search, and skill execution, achieving a score of 57.7% in the MCP Atlas tool call benchmark test.
• Sub-agent taskIt can be used as a sub-agent to perform tasks such as searching code repositories, reviewing large files, and processing auxiliary documents in parallel, consuming only 30% of the GPT-5.4 quota in Codex.
• Long context processingIt supports a super-large context window of 400K tokens and can handle long document analysis and complex multi-turn dialogues.

Key information and usage requirements of GPT-5.4 mini

• positionOpenAI's most powerful small model, designed specifically for high-throughput, low-latency scenarios.
• speedMore than twice as fast as GPT-5 mini
• performanceTasks such as programming, reasoning, multimodal learning, and computer use are comparable to GPT-5.4.
• Context400K tokens
• PricingInput $0.75/million tokens, output $4.50/million tokens (approximately 1/3 of GPT-5.4)
• Access ChannelAPI, Codex, ChatGPT

The core advantages of GPT-5.4 mini

• Achieving both speed and performanceIt is more than twice as fast as the GPT-5 mini, and its performance in programming, reasoning, and multimodal tasks is close to that of the full-fledged GPT-5.4.
• Ultimate cost-effectivenessThe output price is only 1/3 of GPT-5.4, and it consumes only 30% of the quota in Codex, significantly reducing development costs.
• Strong multimodal capabilityIt can quickly parse complex UI screenshots, achieving 72.1% in the OSWorld-Verified computer usage benchmark, which is close to GPT-5.4's 75%.
• Large ContextSupports 400K tokens in the context window, enabling the handling of long documents and complex multi-turn conversations.
• Sub-agent optimizationDesigned specifically for parallel task execution, it is suitable as a sub-agent to handle auxiliary tasks such as searching and reviewing, and to build a combined architecture of large model decision-making and small model execution.
• Full platform coverageAPI, Codex, and ChatGPT are now available, supporting full functionality including text/image input, tool calls, function calls, web page search, file search, and computer usage.

How to use GPT-5.4 mini

• API usageIt supports text and image input, tool usage, function calls, web page search, file search, computer usage, and skill invocation through OpenAI API calls, with a context window of up to 400K tokens.
• Codex usageThe model is now fully available in Codex applications, CLI, IDE extensions, and web platforms. It consumes 30% of the GPT-5.4 quota by default and can be configured as the default model for sub-agents, used for low-inference-intensity tasks such as searching code repositories, reviewing large files, and processing auxiliary documents.
• ChatGPT usageFree users and Go users can access it directly through the "Thinking" function in the "+" menu. Other users will automatically switch to it as an alternative rate limiting option for GPT-5.4 Thinking.

Comparison of GPT-5.4 mini with similar competing products

Application scenarios of GPT-5.4 mini

• Content ClassificationIt can quickly tag, classify, and perform sentiment analysis on massive amounts of text and images, and is suitable for social media content moderation, news topic classification, and user comment filtering.
• Data extractionExtract structured data in batches from unstructured documents, web pages, and tables. Suitable for resume parsing, invoice information extraction, and key field identification in contracts.
• Sort and filterIt performs relevance scoring and priority ranking on search results, recommended content, and candidate lists, and is applicable to e-commerce product recommendations, job resume screening, and personalized information feeds.
• Light quantum intelligent agentsAs a sub-agent, it performs edge tasks such as verification, formatting, and simple queries, and works with GPT-5.4/mini to build a low-cost multi-agent system.