GPT-5.4 mini and nano
Claim this toolCompact language models for coding, reasoning, and data tasks
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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
What is GPT-5.4 mini and nano?
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
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.
At $4.50/1M output tokens for mini and $1.25/1M for nano, it undercuts many proprietary APIs for coding and data tasks. The 90% cached input discount is a standout value.
Best for developers and data teams needing high-context, cost-efficient inference.
Hidden Costs & Gotchas
No free tier; pay per token from first use
Cached input discount requires cache hits
Computer use may incur extra compute fees
No annual or volume discount mentioned
Image input tokens billed at input rate
How GPT-5.4 mini and nano Compares to Competitors
This pricing is cheaper than most proprietary APIs for compact models, especially with the cached input discount. It is pricier than self-hosting open models but offers far more capability and context length. Compared to other leading LLM providers, the nano tier is aggressively priced for high-volume extraction tasks.
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Best GPT-5.4 mini and nano Alternatives
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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?
Which teams would benefit most from using GPT-5.4 mini and nano?
How does GPT-5.4 mini compare to Google Gemini for coding tasks?
What are the main limitations of GPT-5.4 mini and nano?
How is GPT-5.4 mini and nano priced?
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