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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 modelMiniMax M1 80KMiniMaxRemove
ProviderOpenAIMiniMax
Discovery tierEfficientBalanced
AddedMar 17, 2026Jan 8, 2025
Limits
Context window400K1MBest
Max output128K131.07KBest
Average output515 tokens—
Pricing, USD per 1M tokens
Input$0.20Best$0.61
Output$1.25Best$2.42
Cache read$0.02—
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index11.711.7
Math Index—61.0
Capabilities
ReasoningYesNo
ToolsYesNo
VisionYesNo
Structured outputYesNo
PDF inputYesNo
Reasoning effortnone, low, medium, high, xhigh—

Public evaluations

Benchmarks

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

  • GPT 5.4 Nano
  • MiniMax M1 80K

Intelligence Index

  • GPT 5.4 Nano11.7
  • MiniMax M1 80K11.7

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: —
    • MiniMax M1 80K: 61.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 5.4 Nano: 29.7%
    • MiniMax M1 80K: 57.7%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 5.4 Nano: 4.1%
    • MiniMax M1 80K: 8.9%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT 5.4 Nano: 55.8%
    • MiniMax M1 80K: 69.7%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT 5.4 Nano: —
    • MiniMax M1 80K: 81.6%

  • IFBench

    Following precise output instructions

    • GPT 5.4 Nano: 32.7%
    • MiniMax M1 80K: 41.8%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT 5.4 Nano: —
    • MiniMax M1 80K: 71.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT 5.4 Nano: —
    • MiniMax M1 80K: 61.0%

  • AIME

    Competition mathematics

    • GPT 5.4 Nano: —
    • MiniMax M1 80K: 84.7%

  • MATH-500

    Competition math problems

    • GPT 5.4 Nano: —
    • MiniMax M1 80K: 98.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 5.4 Nano: 24.2%Top
    • MiniMax M1 80K: 3.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 5.4 Nano: 34.8%Top
    • MiniMax M1 80K: 34.2%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 5.4 Nano: 29.7%
    • MiniMax M1 80K: 57.7%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.