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gpt-6-luna API pricing & access

gpt-6-luna API pricing: $0.1 per 1M tokens. An efficient GPT-6 model from OpenAI for focused, high-volume tasks where latency and cost…

gpt-6-luna API access

An efficient GPT-6 model from OpenAI for focused, high-volume tasks where latency and cost matter. Available features and limits depend on the selected channel.

Compare supported API endpoints and capabilities, then access gpt-6-luna through the unified API gateway.

Category: text
Context length: 1050000 tokens
Maximum output: 128000 tokens
Supported APIs: OpenAI Chat Completions API, Anthropic Messages API
API endpoints: POST /v1/chat/completions, POST /v1/messages
Input modalities: text, image, file
Output modalities: text
Capabilities: structured output, function calling, vision, caching, reasoning

gpt-6-luna API pricing

Base input price: $0.1 per 1M tokens
Base output price: $0.5 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About gpt-6-luna

GPT-6 Luna targets focused, high-volume tasks such as classification, extraction, preprocessing and smaller workflow steps. Official text and image inputs produce text. Evaluate a division of work with larger models using fixed samples, response times and actual usage.

Official built-in tools use the Responses API, and official Chat Completions function calling requires reasoning_effort set to none. Check endpoints, tools and reasoning parameters on the selected route. Efficiency is a workload positioning, not a guarantee of lower latency or cost for every task.

Official reference, checked 2026-10-14.

Use cases and prompting

Define label meanings, conflicts and unknown cases for classification. Specify field types and missing-value handling for extraction.
Include only material needed for the current step and set an appropriate output cap. Test both short and long inputs with fixed samples.
Separate Chat and Responses function-calling contracts. Check reasoning_effort=none on Chat routes under the official constraint.
Compare complex tasks with GPT-6 Sol, or existing high-volume tasks with GPT-5.6 Luna. See the integration guide.

How to call gpt-6-luna

gpt-6-luna is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-6-luna", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="gpt-6-luna",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Python (anthropic SDK)

from anthropic import Anthropic

client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
    model="gpt-6-luna",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about gpt-6-luna

What is gpt-6-luna?

An efficient GPT-6 model from OpenAI for focused, high-volume tasks where latency and cost matter. Available features and limits depend on the selected channel.

How do I call gpt-6-luna?

Create an API key with access to gpt-6-luna, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gpt-6-luna priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of gpt-6-luna?

The model catalog lists a context window of 1050000 tokens. Check the selected endpoint for request limits.

What is the maximum output of gpt-6-luna?

The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.

How should I evaluate gpt-6-luna for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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