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OpenAI · Efficient

GPT 5.4 Nano

Added Mar 17, 2026

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Use in the app

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.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
none · low · medium · high · xhigh
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.20
Output
$1.25
Cache read
$0.02

Reference prices as published by the model provider. API example

Specifications

Context window
400K
Max output
128K
Average output (7 days)
515 tokens
Longer than 50% of 468 models

Side by side

GPT 5.4 Nano compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GPT 5.4 NanoOpenAIThis modelGPT 5 NanoOpenAIRemove
ProviderOpenAIOpenAI
Discovery tierEfficientEfficient
AddedMar 17, 2026Aug 7, 2025
Limits
Context window400K400K
Max output128K128K
Average output515 tokens322 tokens
Pricing, USD per 1M tokens
Input$0.20$0.05Best
Output$1.25$0.40Best
Cache read$0.02$0.005Best
Performance
Throughput—101.5 tok/s
Time to first token—2.0 s
Request success (24h)100.0%Best99.9%
Benchmark indexes
Intelligence Index11.713.0Best
Math Index—83.7
Capabilities
ReasoningYesYes
ToolsYesNo
VisionYesYes
Structured outputYesNo
PDF inputYesNo
Reasoning effortnone, low, medium, high, xhighminimal, low, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GPT 5.4 Nano
  • GPT 5 Nano

Intelligence Index

  • GPT 5.4 Nano11.7
  • GPT 5 Nano13.0

GPT 5.4 Nano: Better than 26% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GPT 5.4 Nano: —
    • GPT 5 Nano: 83.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 5.4 Nano: 29.7%
    • GPT 5 Nano: 45.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 5.4 Nano: 4.1%
    • GPT 5 Nano: 9.5%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT 5.4 Nano: 55.8%
    • GPT 5 Nano: 67.6%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT 5.4 Nano: —
    • GPT 5 Nano: 78.0%

  • IFBench

    Following precise output instructions

    • GPT 5.4 Nano: 32.7%
    • GPT 5 Nano: 67.6%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT 5.4 Nano: —
    • GPT 5 Nano: 78.9%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT 5.4 Nano: —
    • GPT 5 Nano: 83.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 5.4 Nano: 24.2%Top
    • GPT 5 Nano: 12.1%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 5.4 Nano: 34.8%
    • GPT 5 Nano: 36.5%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 5.4 Nano: 29.7%
    • GPT 5 Nano: 45.0%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.4-nano",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/gpt-5.4-nano",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.