
GPT-5.4 mini and nano
Claim this toolCompact language models for coding, reasoning, and data tasks
Free plan available, paid tiers aboveVisit WebsiteThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- 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
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
What is GPT-5.4 mini and nano?
Key Features
- 400,000-token context window on both models
- 128,000 maximum output tokens
- Text and image input support
- Function calling and structured outputs
- Web search, file search, and code interpretation tools
- Streaming and batch processing support
- Computer use capability (mini)
- Reasoning token support for chain-of-thought
- Realtime API compatibility
- 90% discount on cached input tokens
Pricing
GPT-5.4 mini and nano offers a generous free tier with optional paid upgrades for advanced features.
Is GPT-5.4 mini and nano worth the price?
This pricing is very competitive for a compact model with a 400K context window and tool use.
The 90% cached input discount is a standout value. Best for developers and data teams needing high-context, cost-efficient inference.
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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?
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Can GPT-5.4 mini and nano process large documents or codebases?
Why might a user choose GPT-5.4 nano over GPT-5.4 mini?
Source: openai.com