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
- coding index56.1#36 of 60
- agentic index17.7#37 of 49
- omniscience-29.5#69 of 86
- gpqa81.7%#60 of 88
- humanity’s last exam28.3%#48 of 89
- terminal-bench v2.160.7%#38 of 57
- GPQA81.7%
- AA-LCR76.7%
- Tau276.0%
- IFBench75.9%
- MMMU-Pro65.4%
- Terminal-Bench v2.160.7%
- Harvey LAB52.2%
- SciCode47.2%
- Terminal-Bench Hard42.4%
- Humanity’s Last Exam28.3%
- Tau Banking27.4%
- APEX-Agents24.9%
- ITBench24.4%
- CritPt9.3%
- GDP.pdf All-pass7.8%
- AutomationBench Partial6.0%
- Multilingual LCR5.0%
- 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
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
- anthropic/claude-fable-5-1$10.00 / $50.00compare →
- meta/muse-spark-1.3$1.25 / $4.25compare →
- zai/glm-5.3$1.40 / $4.40compare →
- xai/grok-4.6$2.00 / $6.00compare →
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.
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.
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.
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