OpenAI: GPT-5.4 Nano
Analysis Summary
OpenAI's GPT-5.4 Nano is designed for fast, economical production use while retaining unusually strong coding capability for its size. It supports text, image, and file inputs across a 400K context, with tool use and function calling for structured automation. Instruction following and long-context results make it suitable for repeatable business tasks, although its general reasoning remains below larger flagship models.
Use it for SEO briefs, metadata, content transformations, document triage, code assistance, and high-volume customer operations. Its low input price is particularly valuable when request volume is large, while the output price remains manageable. It is a strong routing and automation choice, with escalation reserved for nuanced strategy or high-stakes reasoning.
Assessed September 7, 2026
Editorial notes
GPT-5.4 Nano delivers strong coding, vision and file input, a 400K context, reliable instruction following, and very low pricing for high-volume production workloads.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.4 Nano delivers strong coding, vision and file input, a 400K context, reliable instruction following, and very low pricing for high-volume production workloads.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
21.2 Intelligence Index·56.1 Coding Index·17.7 Agentic Index
How OpenAI: GPT-5.4 Nano compares
OpenAI: GPT-5.4 Nano ranks #130 of 438 AI models we track for overall intelligence, #59 of 210 for coding, #97 of 192 for agentic tasks. Its 400K-token context window is larger than 75% of the models we list. At $0.20 per million input tokens it is cheaper than 56% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $1.25 | $0.001250 |
What would OpenAI: GPT-5.4 Nano cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.4 Nano for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.4 Nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency..
Frequently asked questions about OpenAI: GPT-5.4 Nano
How much does OpenAI: GPT-5.4 Nano cost?
OpenAI: GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens.
What is the context window of OpenAI: GPT-5.4 Nano?
OpenAI: GPT-5.4 Nano has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5.4 Nano good for coding?
On our coding benchmark index, OpenAI: GPT-5.4 Nano ranks #59 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-5.4 Nano do?
OpenAI: GPT-5.4 Nano supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.4 Nano?
OpenAI: GPT-5.4 Nano is developed by OpenAI and was released on March 17, 2026.