GPT-5.4 mini and nano
UnclaimedCompact language models for coding, reasoning, and data tasks
Visit WebsiteFreemiumVisit Website
Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
GPT-5.4 mini approaches full GPT-5.4 performance at a fraction of the cost
Biggest con
August 2025 knowledge cutoff means no awareness of recent events
TL;DR - GPT-5.4 mini and nano
- OpenAI's fastest small models: mini ($0.75/1M input) near full GPT-5.4 performance, nano ($0.20/1M input) for high-volume tasks
- Both feature 400K context windows, 128K max output, and support for function calling, web search, and code interpretation
- Released March 2026; available in ChatGPT free tier (mini), Codex, and the OpenAI API
Pricing: Free plan available
Best for: Growing teams
What is GPT-5.4 mini and nano?
GPT-5.4 mini and nano are OpenAI's latest compact language models, released March 2026. GPT-5.4 mini ($0.75/1M input tokens) delivers near-GPT-5.4 performance at 2x faster speed, excelling at coding, reasoning, multimodal understanding, and tool use. GPT-5.4 nano ($0.20/1M input tokens) is the smallest and cheapest option, optimized for classification, data extraction, and subagent tasks. Both feature 400K context windows and August 2025 knowledge cutoff.
Pros & Cons
Pros
- GPT-5.4 mini approaches full GPT-5.4 performance at a fraction of the cost
- Nano model at $0.20/1M input tokens is extremely cost-effective for high-volume tasks
- 400K context window handles large documents and codebases
- 2x faster than previous generation mini models
- Available across ChatGPT (free tier), Codex, and API
- Cached input pricing at $0.075/1M tokens (mini) makes repeated queries very cheap
Cons
- August 2025 knowledge cutoff means no awareness of recent events
- Nano lacks some advanced capabilities like computer use
- Text-only output (no native image or audio generation)
- Mini at $4.50/1M output tokens can get expensive for verbose tasks
- Smaller models may still hallucinate more than full GPT-5.4
Key Features
400,000-token context window on both models128,000 maximum output tokensText and image input supportFunction calling and structured outputsWeb search, file search, and code interpretation toolsStreaming and batch processing supportComputer use capability (mini)Reasoning token support for chain-of-thoughtRealtime API compatibility90% discount on cached input tokens
Pricing
Freemium
GPT-5.4 mini and nano offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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GPT-5.4 mini and nano FAQ
How do GPT-5.4 mini and nano differ in their primary use cases?
GPT-5.4 mini excels at coding, reasoning, multimodal understanding, and tool use, offering near-GPT-5.4 performance at a faster speed. GPT-5.4 nano is optimized for classification, data extraction, and subagent tasks, serving as the smallest and most cost-effective option.
Which teams would benefit most from using GPT-5.4 mini and nano?
Teams focused on AI Coding and AI Agents will find these models particularly useful due to their capabilities in handling large codebases and performing subagent tasks. Developers requiring efficient reasoning and data extraction for AI Assistants can also leverage these compact models effectively.
How does GPT-5.4 mini compare to Google Gemini for coding tasks?
GPT-5.4 mini delivers near-GPT-5.4 performance for coding tasks and is available across ChatGPT, Codex, and API, offering a 2x faster speed than previous mini models. It also features a substantial 400K context window for handling extensive codebases.
What are the main limitations of GPT-5.4 mini and nano?
Both models have an August 2025 knowledge cutoff, meaning they are not aware of more recent events. The nano model specifically lacks some advanced capabilities like computer use, and both models provide text-only output without native image or audio generation.
How is GPT-5.4 mini and nano priced?
GPT-5.4 mini and nano are available on a free tier, with paid plans for more usage and features. The models are priced per 1M input tokens, with cached input pricing also available for repeated queries.
Can GPT-5.4 mini and nano process large documents or codebases?
Yes, both GPT-5.4 mini and nano feature a 400K context window, which allows them to handle large documents and extensive codebases effectively. This large context window supports complex reasoning and data extraction tasks.
Why might a user choose GPT-5.4 nano over GPT-5.4 mini?
A user might choose GPT-5.4 nano for its extreme cost-effectiveness, especially for high-volume tasks like classification and data extraction. It is the smallest and cheapest option, making it suitable for scenarios where advanced capabilities are not strictly necessary.
Source: openai.com