GPT 5.4 Nano

Chat Completions

gpt-5.4-nano

OpenAI|Created Mar 18, 2026|400k context

Chat Completions

GPT-5.4 nano is the lightest and most cost-efficient model in the GPT-5.4 family, built for speed-sensitive and high-volume workloads. It supports both text and image inputs and is designed for low-latency tasks such as classification, data extraction, ranking, and sub-agent execution. The model is focused on responsiveness and efficiency rather than deep reasoning, making it ideal for pipelines that need fast and reliable results at scale. GPT-5.4 nano is a strong fit for background processing, real-time systems, and distributed agent architectures where keeping costs and latency low is essential.

Overview Specifications Activity Performance Uptime Examples

Pricing-50%

Pay-as-you-go rates for this model. More details can be found here.

Input Tokens (1M)

$0.10

Cached Input Tokens (1M)

$0.01

Output Tokens (1M)

$0.63

Capabilities

Input Modalities

TextImageFile

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Frequency PenaltyFunction CallFunctionsLogit BiasMax Completion TokensParallel Tool CallsPredictionPresence PenaltyReasoning EffortResponse FormatStopTool ChoiceToolsWeb Search Options

Usage Analytics

Token usage of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="gpt-5.4-nano",
    messages=[
        {"role": "user", "content": "What's 2+2?"}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)