OpenAI: GPT-5.4 Nano
Analysis Summary
GPT-5.4 Nano punches well above its weight class, combining coding and agentic scores that rival much larger models with vision support and instruction-following that holds up on structured tasks. Its reasoning score is more modest, but its practical capability across coding, tool use, and multi-step task execution is strong.
This makes it a good fit for businesses running coding assistants, customer-facing agents with tool access, or document processing pipelines, especially where budget and latency matter. The 400K context window supports long documents and codebases, while vision input adds flexibility for mixed-media workflows.
With low input and output pricing relative to its capability, GPT-5.4 Nano is well suited to high-volume production use where cost efficiency and dependable agentic behaviour matter more than frontier-level reasoning.
Assessed July 25, 2026
Editorial notes
GPT-5.4 Nano packs strong coding and agentic performance with vision support and a 400K context window at low cost, from OpenAI.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.4 Nano packs strong coding and agentic performance with vision support and a 400K context window at low cost, from OpenAI.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
38.2 Intelligence Index·56.1 Coding Index·27.5 Agentic Index
How OpenAI: GPT-5.4 Nano compares
OpenAI: GPT-5.4 Nano ranks #49 of 401 AI models we track for overall intelligence, #34 of 176 for coding, #51 of 157 for agentic tasks. Its 400K-token context window is larger than 78% of the models we list. At $0.20 per million input tokens it is cheaper than 57% 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 value. 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 688 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..
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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 #34 of 176 models, placing it in the top quartile 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.
