OpenAI: GPT-5.6 Luna

openai/gpt-5.6-luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Modalities: text+image+file->text
In / out price: $0.2 / $1.2per 1M
Context: 1.1M
Released: Jul 9, 2026
Knowledge cutoff: 2026-02-16

Providers

Every request enters through InfAPI. One key calls every model in the catalog. Upstream groups, ratios, and tiers are not shown.

Endpoint	Input	Output	Context	Status
InfAPI	$0.2	$1.2	1.1M	Not listed

Input: File, Image, Text
Output: Text
Tokenizer: GPT
Max output: 128,000
Endpoint: —

Pricing

Listed price for this model on this gateway. Token prices are per 1M tokens.

Item	Price	Unit
Inputprompt	$0.2	per 1M tokens
Outputcompletion	$1.2	per 1M tokens
Web searchweb_search	$0.01	per search
Cache readinput_cache_read	$0.02	per 1M tokens
Cache writeinput_cache_write	$0.25	per 1M tokens

Long-context tiers

After 272,000 input tokens

Item	Price	Unit
Inputprompt	$0.4	per 1M tokens
Outputcompletion	$1.8	per 1M tokens
Cache readinput_cache_read	$0.04	per 1M tokens
Cache writeinput_cache_write	$0.5	per 1M tokens

API

The gateway speaks the OpenAI Chat Completions API. Point any compatible SDK at https://infapi.cc/v1 and send the model slug below.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use openai/gpt-5.6-luna

Python

import requests

response = requests.post(
    "https://infapi.cc/v1/chat/completions",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "openai/gpt-5.6-luna",
        "messages": [
            {
                "role": "user",
                "content": "Introduce yourself in three sentences."
            }
        ],
        "max_tokens": 512
    },
)
response.raise_for_status()
print(response.json()["choices"][0]["message"]["content"])

Endpoint

POST https://infapi.cc/v1/chat/completions

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

response = client.chat.completions.create(
    model="openai/gpt-5.6-luna",
    messages=[{"role": "user", "content": "Introduce yourself in three sentences."}],
    max_tokens=512,
)
print(response.choices[0].message.content)

TypeScript (OpenAI)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://infapi.cc/v1",
  apiKey: "$INFAPI_API_KEY",
});

const response = await client.chat.completions.create({
  "model": "openai/gpt-5.6-luna",
  "messages": [
    {
      "role": "user",
      "content": "Introduce yourself in three sentences."
    }
  ]
});

console.log(response.choices[0]?.message?.content);

Supported parameters

include_reasoning
Include reasoning
Include a reasoning summary in the response.
max_completion_tokens
Max completion tokens
Same idea as max_tokens. Some newer models use this field instead.
max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
reasoning
Reasoning
Enable or configure reasoning. The fields differ by model.
reasoning_effort
Reasoning effort
How much compute to spend reasoning. Often low, medium, or high.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.
tool_choice
Tool choice
Whether to call a tool: auto, none, or a named function.
tools
Tools
Function definitions the model may call via tool_calls.
verbosity
Verbosity
Ask the model for a shorter or longer answer.

FAQ

What is this model?

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classific…

How much does it cost?

$0.2 / $1.2

What inputs and outputs does it support?

text+image+file->text

When was it released?

Jul 9, 2026

Try this model

Endpoint

Input

Output

Context

Status

InfAPI

$0.2

$1.2

1.1M

Not listed

Pricing

Listed price for this model on this gateway. Token prices are per 1M tokens.

Item	Price	Unit
Inputprompt	$0.2	per 1M tokens
Outputcompletion	$1.2	per 1M tokens
Web searchweb_search	$0.01	per search
Cache readinput_cache_read	$0.02	per 1M tokens
Cache writeinput_cache_write	$0.25	per 1M tokens

Long-context tiers

After 272,000 input tokens

Item	Price	Unit
Inputprompt	$0.4	per 1M tokens
Outputcompletion	$1.8	per 1M tokens
Cache readinput_cache_read	$0.04	per 1M tokens
Cache writeinput_cache_write	$0.5	per 1M tokens

API

The gateway speaks the OpenAI Chat Completions API. Point any compatible SDK at https://infapi.cc/v1 and send the model slug below.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use openai/gpt-5.6-luna

Python

import requests

response = requests.post(
    "https://infapi.cc/v1/chat/completions",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "openai/gpt-5.6-luna",
        "messages": [
            {
                "role": "user",
                "content": "Introduce yourself in three sentences."
            }
        ],
        "max_tokens": 512
    },
)
response.raise_for_status()
print(response.json()["choices"][0]["message"]["content"])

Endpoint

POST https://infapi.cc/v1/chat/completions

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

response = client.chat.completions.create(
    model="openai/gpt-5.6-luna",
    messages=[{"role": "user", "content": "Introduce yourself in three sentences."}],
    max_tokens=512,
)
print(response.choices[0].message.content)

TypeScript (OpenAI)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://infapi.cc/v1",
  apiKey: "$INFAPI_API_KEY",
});

const response = await client.chat.completions.create({
  "model": "openai/gpt-5.6-luna",
  "messages": [
    {
      "role": "user",
      "content": "Introduce yourself in three sentences."
    }
  ]
});

console.log(response.choices[0]?.message?.content);

Supported parameters

include_reasoning
Include reasoning
Include a reasoning summary in the response.
max_completion_tokens
Max completion tokens
Same idea as max_tokens. Some newer models use this field instead.
max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
reasoning
Reasoning
Enable or configure reasoning. The fields differ by model.
reasoning_effort
Reasoning effort
How much compute to spend reasoning. Often low, medium, or high.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.
tool_choice
Tool choice
Whether to call a tool: auto, none, or a named function.
tools
Tools
Function definitions the model may call via tool_calls.
verbosity
Verbosity
Ask the model for a shorter or longer answer.