GPT-5.4 nano

GPT-5.4 nano is the lightest, most cost-efficient tier of OpenAI's GPT-5.4 family, optimised for speed-critical and high-volume tasks.

input · usd / 1m tok

$0.20

output · usd / 1m tok

$1.25

context window

400ktokens

modalities · in → out

takes text and image in, gives text out

pricing

base api ratesusd per 1m tokens

input
$0.20
output
$1.25
cache read
$0.02

providers

Different companies host GPT-5.4 nano. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

  • Azure OpenAI
  • OpenAI

specifications

takes text and image in, gives text outopenai/gpt-5.4-nano

  • creatorOpenAI
  • model typeText generation
  • context window400,000 tokens
  • maximum outputnot published
  • input

    takes text and image in, gives text out

  • outputtext
  • tool callingnot verified
  • releasedmar 17, 2026
  • endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="openai/gpt-5.4-nano",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

21.2#57 of 90 models on the gateway

  1. coding index56.1#36 of 60
  2. agentic index17.7#37 of 49
  3. omniscience-29.5#69 of 86
  4. gpqa81.7%#60 of 88
  5. humanity’s last exam28.3%#48 of 89
  6. terminal-bench v2.160.7%#38 of 57
  1. GPQA81.7%
  2. AA-LCR76.7%
  3. Tau276.0%
  4. IFBench75.9%
  5. MMMU-Pro65.4%
  6. Terminal-Bench v2.160.7%
  7. Harvey LAB52.2%
  8. SciCode47.2%
  9. Terminal-Bench Hard42.4%
  10. Humanity’s Last Exam28.3%
  11. Tau Banking27.4%
  12. APEX-Agents24.9%
  13. ITBench24.4%
  14. CritPt9.3%
  15. GDP.pdf All-pass7.8%
  16. AutomationBench Partial6.0%
  17. Multilingual LCR5.0%
  18. Terminal-Bench v4.00.5%
  • Intelligence Index21.24
  • Omniscience Index-29.47
  • GDPval Elo1035.42
  • coding index (API)56.1
  • agentic index (API)17.7
  • intelligence index (API)21.2

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-09-10.

compare GPT-5.4 nano with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

impossibl models --all →

frequently asked questions

What is GPT-5.4 nano?

GPT-5.4 nano is the lightest, most cost-efficient tier of OpenAI's GPT-5.4 family, optimised for speed-critical and high-volume tasks. It supports text and image input and targets low-latency work, trading the depth of GPT-5.4 and GPT-5.4 mini for throughput and price.

How much does GPT-5.4 nano cost?

GPT-5.4 nano costs $0.20 per million input tokens and $1.25 per million output tokens through the Impossibl API. Cache reads cost $0.02 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of GPT-5.4 nano?

GPT-5.4 nano has a 400,000-token context window through the Impossibl API.

What inputs and outputs does GPT-5.4 nano support?

GPT-5.4 nano accepts text and image as input. GPT-5.4 nano returns text.

How do I use GPT-5.4 nano through an API?

GPT-5.4 nano is available through the Impossibl API. Use openai/gpt-5.4-nano as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was GPT-5.4 nano released?

OpenAI released GPT-5.4 nano on March 17, 2026.

this page describes GPT-5.4 nano as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →