GPT-6 Luna

OpenAI's cost-efficient flagship for high-volume, cost-sensitive workloads.

Cost-Efficient1.1M ContextLong-Context Tiers

Context window

1,100,000 tokens

Input

$0.09$0.10

10% off

1M tokens

Output

$0.45$0.50

10% off

1M tokens

Model Codegpt-6-luna

Playground

Model Code

gpt-6-luna

Enter your prompt here...

Output

No output yet

Pricing

Plan	Context Window	Max Output	Input	Output	Cache Write	Cache Read
gpt-6-luna	1.1M tokens	-	$0.09$0.1010% off 1M tokens	$0.45$0.5010% off 1M tokens	$0.1125$0.12510% off 1M tokens	$0.009$0.0110% off 1M tokens
Long Context	-	-	$0.18$0.2010% off 1M tokens	$0.675$0.7510% off 1M tokens	$0.225$0.2510% off 1M tokens	$0.018$0.0210% off 1M tokens

Applies to the full request when input exceeds 272K tokens

Cache read or cached input pricing applies to reused prompt tokens.

README

GPT-6 Luna is OpenAI's cost-efficient flagship model, built for high-volume, cost-sensitive workloads. It pairs a 1.1M-token context window with tiered short/long-context pricing at a $0.10/$0.50 price point.

GPT-6 Luna is OpenAI's cost-efficient flagship, built for high-volume, cost-sensitive workloads.
The model serves a 1.1M-token context window, with pricing tiered by input length: short context covers requests with up to 272K input tokens.
When input exceeds 272K tokens, long-context rates apply to the entire request, and cache writes are billed at 1.25× the uncached input rate.

API

Use the API docs for request format, parameters, and integration details.

OpenAI's cost-efficient flagship for high-volume, cost-sensitive workloads.

Model Code

gpt-6-luna

View API Docs

API

Endpoint

POST /v1/chat/completions

Authentication

Authorization: Bearer YOUR_REACH_API_KEY
Content-Type: application/json

Example

curl -X POST "https://direct.reachapi.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_REACH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "YOUR_MODEL_ID",
    "messages": [
      {
        "role": "user",
        "content": "Introduce ReachAPI in one sentence."
      }
    ],
    "temperature": 0.2
  }'

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