Models / OpenAI/ GPT-5.4 Nano

GPT-5.4 Nano

OpenAI · released Mar 17, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$0.20
Output
$1.25
Cached
$0.020

List price · per 1M tokens · OpenAI at 272K context · machine-readable source ↗

Our take

Written Sep 30, 2026

GPT-5.4 Nano is a hosted-only model with a low entry price and support for images and files alongside the question. Its measured results are middling to poor, so it suits high-volume work where the bill matters more than peak quality.

Who should pick it

Reach for it on high-volume, cost-sensitive work where a mid-table model is good enough, or when your prompts carry images or files alongside the question. It is cheap to reach through a host and takes long documents without splitting them up first. Skip it if you need strong language comprehension or coding, or if you meant to run the model on your own machine.

The case for it

  • The cheapest listed offer is well under the next tier up, so the entry price is low for a model that also takes images and files.
  • Long documents fit beside the question without being broken apart first, though reliable recall across all of it is unverified in our data.
  • Competition-style maths is its best measured category, at 90.98% on LiveBench Mathematics, 26th of 58 on LiveBench Mathematics via xHigh as of 25 Jun 2026.

The case against it

  • Language comprehension is its weakest measured area: 62.51% on LiveBench Language, 58th of 58 on LiveBench Language via xHigh as of 25 Jun 2026, last in the field.
  • Coding sits below the middle of the field, at 50th of 58 on LiveBench Coding via xHigh as of 25 Jun 2026, with agentic coding at 43rd of 58 on the same board and date.
  • We list no download for it, so using it means choosing a host; there is no way to run it yourself.
00

How good is it?

EverydayGeneral questions and everyday reasoning

2.5 of 5

Arena Text (overall)95th of 168 · 1401

Arena Hard Prompts 93rd of 168Arena Maths 73rd of 163LiveBench Mathematics 26th of 58LiveBench Reasoning 40th of 58LiveBench Data Analysis 49th of 58

CodingWriting and fixing code on its own

3 of 5

Arena Coding84th of 168 · 1460

LiveBench Coding 50th of 58

AgenticPlanning, calling tools, staying on task

Scored, not ratedLiveBench Agentic Coding · 43rd of 58 · 46.77

Not yet scored on Arena Agent. It is on LiveBench Agentic Coding, in 43rd of 58 with 46.77.

WritingDrafting and rewriting prose

2 of 5

Arena Creative Writing110th of 168 · 1335

LiveBench Language 58th of 58
Other boards it appears on
Arena Instruction Following 96th of 168LiveBench Instruction Following 32nd of 58LiveBench 47th of 58

Boards this model appears on that none of the ratings above are built on.

Every published score for this model14 scoresEvery figure we hold, from 14 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
69.58source ↗
46.77source ↗
70.84source ↗
67.64source ↗
67.2source ↗
62.51source ↗
90.98source ↗
81.1source ↗
1460source ↗
1335source ↗
1421source ↗
1387source ↗
1425source ↗
1401source ↗
01

Where to rent it

Prices checked between 60 min and 1 hour ago — each listing carries its own date.

Cheapest published offer

Microsoft Azure AI, through OpenRouter

Why this differs from the header. The strip above quotes OpenAI's own list price; this is the cheapest live offer, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$0.20 in / $1.25 out
Context served
400K
Throughput
~43 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenAIflex tierThrough OpenRouter$0.10 / $0.63checked 1 hour ago400K128K max reply134 tok/sNoYesunknown periodUnknown
OpenRouterOpenRouter's own listing$0.20 / $1.25checked 1 hour ago400Knot measuredUnknownUnknownUnknown
Microsoft Azure AIThrough OpenRouter$0.20 / $1.25checked 1 hour ago400K128K max reply43 tok/sNoNoConfirmed
OpenAIDirect$0.20 / $1.25checked 60 min ago272K128K max reply74 tok/sNoYesunknown periodUnknown
Microsoft Azure AIusThrough OpenRouter$0.22 / $1.38checked 1 hour ago400K128K max reply11 tok/sNoNoConfirmed

Across the 5 listings we hold: 4 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenAIflexThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
Microsoft Azure AIThrough OpenRouter✓✓✓
OpenAIDirect✓✓✓
Microsoft Azure AIusThrough OpenRouter✓✓✓

Tool calling: 5 of 5 listings say yes. JSON output: 5 of 5 listings say yes. Strict schema: 5 of 5 listings say yes.

02

Models people weigh against GPT-5.4 Nano

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 1460 via High on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1335 via High on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1421 via High on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1387 via High on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1425 via High on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1401 via High on Arena Text (overall)
What movedleaderboard
Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Jun 25, 2026BenchmarkScored 69.58 via xHigh on LiveBench
What movedleaderboard
Jun 25, 2026BenchmarkScored 46.77 via xHigh on LiveBench Agentic Coding
What movedleaderboard
Jun 25, 2026BenchmarkScored 70.84 via xHigh on LiveBench Coding
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 5 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
openai-gpt-5-4-nano

Machine-readable model card (omc.json) →

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