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Published 2026-09-23 · · Author:BazaarLink · GPT-6 Luna · GPT-6 · API pricing · Model API · Tutorial

GPT-6 Luna API Pricing: $0.10 Input, $0.50 Output per Million Tokens

See GPT-6 Luna BazaarLink rates, context length, accepted inputs, and a copy-ready API call, with cache prices from the current catalogue.

Pricing checked 2026-09-23. Prices are BazaarLink rates per million tokens.

GPT-6 Luna API price

UsageUSD / 1M tokens
Input$0.10
Output$0.50
Cache read$0.01
Cache write$0.125

The public model ID is gpt-6-luna. BazaarLink’s live catalogue lists a 1,050,000-token context, text, image, and file input, and text output. Official documentation describes Luna as its efficient model for focused, high-volume work. Treat that as the maker’s use-case guidance, then evaluate it with your own prompts and output requirements.

Call GPT-6 Luna

Set your API key in an environment variable and send a Chat Completions request:

curl https://api.bazaarlink.ai/v1/chat/completions \
  -H "Authorization: Bearer $BAZAARLINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-luna",
    "messages": [{"role": "user", "content": "Classify this message as billing, access, or technical."}],
    "max_tokens": 512
  }'

Use Luna first when the task is clearly scoped and request volume makes per-token cost important. Compare it with Sol on identical inputs if the task needs stronger reasoning. Include cache usage when estimating workloads that reuse a prompt prefix.

Taiwan customers can also use TWD billing and the available Taiwan invoice flow.

Sources

See API discounts and usage rebates

Explore current model discounts and learn how usage rebates add credit to your balance.

View discounts and usage rebates

FAQ

What is the Luna API price?

The current catalogue lists $0.10 input and $0.50 output per 1M tokens. Cache reads are $0.01 and cache writes $0.125 per 1M tokens.

How large is the context?

The BazaarLink catalogue currently returns 1,050,000 tokens.

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TWD billing · Taiwan invoices · leading AI models · OpenAI-compatible API

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