OpenAI: GPT-5.4 nano
GPT-5.4 nano is a reasoning model from OpenAI released on Aug 7, 2025. It reads text and images and writes text, with a 400K token context window and up to 128K tokens per reply.
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It costs $0.20 per million input tokens and $1.25 per million output tokens. Cached input bills at $0.02, 90% less than fresh input.
It supports tool calling, structured JSON output and prompt caching.
31 providers serve it, including Azure, Databricks and Vercel AI Gateway. The lowest input price is $0.16 per million tokens at Ofox.
- Modalities
- In / out price
- $0.20 / $1.25 per 1M
- Context
- 400K
- Max output
- 128K
- Released
- Aug 7, 2025
- Knowledge cutoff
- Aug 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GPT-5.4 nano pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.20 / 1M tokens | |
|---|---|---|
| Output | $1.25 / 1M tokens | |
| Cached input (read) | $0.02 / 1M tokens | 90% off input |
GPT-5.4 nano providers
31 providers serve it, including Azure, Databricks and Vercel AI Gateway. The lowest input price is $0.16 per million tokens at Ofox. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| OpenAI First party | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Azure | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Databricks | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Vercel AI Gateway | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Ofox | $0.16 | $1 | $0.016 | 400K | 128K |
| Poe | $0.18 | $1.10 | $0.018 | 400K | 128K |
| 302.AI | $0.20 | $1.25 | – | 400K | 128K |
| Abacus | $0.20 | $1.25 | $0.02 | 400K | 128K |
| AIHubMix | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Azure Cognitive Services | $0.20 | $1.25 | $0.02 | 400K | 128K |
| Cloudflare AI Gateway | $0.20 | $1.25 | $0.02 | 128K | 128K |
| CrossModel | $0.20 | $1.25 | $0.02 | 400K | 128K |
Showing 12 of 31 providers: the lab first, then the major clouds, then the cheapest resellers.
What GPT-5.4 nano costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call GPT-5.4 nano through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
Alternatives to GPT-5.4 nano
Models that take the same inputs and call tools, closest in price, cheaper ones first.
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by qwenSep 22, 2025$0.25/M input tokens$0.97/M output tokens
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by qwenApr 2, 2026$0.1875/M input tokens$1.13/M output tokens17 providers
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by stepfunMay 29, 2026$0.185/M input tokens$1.11/M output tokens19 providers
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GPT-5.4 nano questions
How much does the GPT-5.4 nano API cost?
$0.20 per million input tokens and $1.25 per million output tokens, with cached input at $0.02. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GPT-5.4 nano?
400,000 tokens of input, and it can write up to 128,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve GPT-5.4 nano?
31 providers serve it, including Azure, Databricks and Vercel AI Gateway. The lowest input price is $0.16 per million tokens at Ofox. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does GPT-5.4 nano support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is GPT-5.4 nano open source?
No. OpenAI serves it through an API only, so you cannot download the weights or host it yourself.
When was GPT-5.4 nano released?
Aug 7, 2025, with training data up to Aug 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on GPT-5.4 nano?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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