GPT 5.4

GPT-5.4 is OpenAI's latest cutting-edge large model, which integrates the Codex series and the GPT series into a unified system. The model has a context window of over 1 million tokens (922,000 input tokens and 128,000 output tokens), supports text and image inputs, and can perform high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool usage, and instruction execution. It is designed as a robust choice for both general-purpose tasks and software engineering scenarios, capable of generating production-grade code, integrating information from multiple sources, and executing complex multi-step workflows with fewer iterations and higher token efficiency.

byOPENAIInput TypeOutput TypeContext Window1MMax Output128K

Providers

This model is available from multiple providers. Select one to see its pricing and sample code.

GPT 5.4Default

$1.25 / $10.00/ 1M tokens

Supported formatsOpenAI Chat CompletionsOpenAI Responses

Azure

$1.25 / $10.00/ 1M tokens1.00× base price

Supported formatsOpenAI Chat CompletionsOpenAI Responses

Pricing

Transparent pay-as-you-go pricing by token usage — no subscriptions or hidden fees.

GPT 5.4

openai/gpt-5.4

Prices forchange

Per 1M tokens

Input

Prompt and context tokens

$1.25

Output

Generated completion tokens

$10.00

Cache read

Reused or stored prompt context

$0.13

Code

Copy an example below to start calling this model in minutes.

API / request example

Sample Code & API

Create API Key

from openai import OpenAI

client = OpenAI(
    base_url="https://api.apipod.ai/v1",
    api_key="<YOUR_API_KEY>",
)

# Chat Completions
completion = client.chat.completions.create(
    model="gpt-5.4",
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?",
        }
    ],
)
print(completion.choices[0].message.content)

from openai import OpenAI client = OpenAI( base_url="https://api.apipod.ai/v1", api_key="<YOUR_API_KEY>", ) # Chat Completions completion = client.chat.completions.create( model="gpt-5.4", messages=[ { "role": "user", "content": "What is the meaning of life?", } ], ) print(completion.choices[0].message.content)