1.05M
text, file, image
text
Supported
About this model
GPT-6 Luna is OpenAI's most efficient GPT-6 model for focused, high-volume workloads. It combines GPT-6 reasoning and agentic capabilities with substantially lower serving cost, making it suitable for scalable automation, coding assistance, information extraction, classification, structured generation, multimodal understanding, and repeatable agent workflows. The model supports a 1.05M-token context window, up to 128K output tokens, configurable reasoning effort, image understanding, function calling, structured outputs, web search, file search, and computer use.
Input modalities
text
Accepted as model input
file
Accepted as model input
image
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.100 / 1M tokens
Output tokens
$0.500 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.100 / 1M tokens |
| Output tokens | $0.500 / 1M tokens |
| Cached input tokens | $0.010 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "openai/gpt-6-luna", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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