OpenAI has introduced two new AI models, GPT 5.4 mini and GPT 5.4 nano. According to OpenAI, these are the company’s ‘most capable small models yet.’ The company says the new models bring many of the capabilities of the larger GPT 5.4 model but in a lighter format. They are designed for situations where speed and responsiveness are important, such as coding assistants, automated workflows, and applications that process images in real time.
Among the two, GPT-5.4 mini is positioned as the more powerful option. It improves over the earlier GPT 5 mini model across several areas, including coding, reasoning, multimodal understanding, and tool usage. According to OpenAI, the model can also run more than twice as fast while still achieving performance close to the larger GPT 5.4 model in certain tests.
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The second model, GPT-5.4 nano, is the smallest and most affordable version in the GPT 5.4 family and is designed for tasks where speed and cost matter the most. OpenAI suggests using it for classification, data extraction, ranking, and coding subagents that handle simpler supporting tasks.
GPT-5.4 mini can be accessed through API,ChatGPT and Codex.
In the API, GPT-5.4 mini supports text and image inputs, tool use, function calling, web search, file search, computer use, and skills. It includes a 4,00,000-token context window and costs $0.75 per million input tokens and $4.50 per million output tokens.
In Codex, GPT 5.4 mini is available across the Codex app, CLI, IDE extension, and web. It uses only 30 per cent of the GPT 5.4 quota, allowing developers to handle simpler coding tasks at roughly one-third of the cost.
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In ChatGPT, GPT-5.4 mini is available to Free and Go users via the ‘Thinking’ option found in the plus menu. For other ChatGPT users, the model appears as a fallback option when the main GPT-5.4 Thinking model reaches its usage limit.
Meanwhile, GPT-5.4 nano is currently available only through the API. It costs $0.20 per million input tokens and $1.25 per million output tokens.