Intelligence
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GPT-6 Luna overview
GPT-6 Luna by OpenAI
GPT-6 Luna is OpenAI's most efficient model for focused, high-volume tasks, the cheapest tier of the GPT-6 family, with the same 1,050,000-token context window as the larger models.
GPT-6 Luna specs
- Model ID
openai/gpt-6-luna- Developer
- OpenAI
- Context window
- 1,050,000 tokens
- Max output
- 128,000 tokens
- Input
- Text, Image
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is GPT-6 Luna?
GPT-6 Luna is OpenAI's most efficient model for focused, high-volume tasks and the cheapest tier of the GPT-6 family. It keeps the same 1,050,000-token context window as the larger models, with configurable reasoning effort, tool calling, vision and web search, and is available on AI/ML API today.
Technical Reference
- Release date: 22 September 2026
- Endpoint: POST /v1/chat/completions
- Context window: 1,050,000 tokens
- Modalities: Image, Text → Text
- Reasoning effort: none, low, medium (default), high, xhigh, max
What GPT-6 Luna Brings to the Table
Lowest cost in the family
Twenty times cheaper per token than GPT-6 Sol, which is what makes high-volume work affordable.
Same context window
1,050,000 tokens, the same as GPT-6 Sol and GPT-6 Astra, so long inputs do not force a move up a tier.
Configurable reasoning
Effort runs from none through max, so the same model covers quick classification and harder one-off questions.
Vision and tools
Image and file input, parallel tool calls, structured outputs and web search are all available.
Where GPT-6 Luna Makes the Most Sense
High-volume workloads
Classification, extraction and routing across large numbers of requests.
Routine coding
Small, repetitive engineering tasks and automated code review.
Latency-sensitive paths
Features that sit inside the request path and cannot wait for a heavier model.
Use cases
- High-volume classification, extraction and routing
- Routine coding tasks and automated code review
- Monitoring and background jobs
- Latency-sensitive features inside the request path
Capabilities
- Reasoning
- Function calling
- Vision
- Structured outputs
- Streaming
GPT-6 Luna benchmarks by 
Artificial Analysis
See how GPT-6 Luna compares in intelligence, generation speed and cost per task. Data retrieved Nov 3, 2026.
Benchmark results
Compare 5 models available on AI/ML API across 4 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
Terminal-Bench 4.0
Agentic tasks completed in a command-line environment.
AA-LCR
Reasoning across long documents of about 100k tokens.
SciCode
Python coding tasks drawn from scientific research.
GPT-6 Luna API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.1 | 1M tokens |
| Output | $0.5 | 1M tokens |
| Cached input | $0.01 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
GPT-6 Luna vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 GPT-6 Luna | $0.1 | $0.5 |
| GPT-6.1 Terra | $1 | $5 |
| GPT-6.1 Sol | $2 | $10 |
| GPT-6 Sol | $2 | $10 |
| GPT-6.1 Terra Pro | $2.12 | $10.58 |
How to use the GPT-6 Luna API
View docs
Build with your agent
Give your agent the model details, code and documentation.
Paste it into your coding agent to build the integration.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/gpt-6-luna",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-6-luna",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-6-luna",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to GPT-6 Luna
GPT-6 Luna FAQ
Is GPT-6 Luna available on AI/ML API?
Yes. GPT-6 Luna is available on AI/ML API through the OpenAI-compatible chat completions endpoint under the model ID openai/gpt-6-luna.
How much does GPT-6 Luna cost?
GPT-6 Luna costs $0.1 input and $0.5 output per 1M tokens on AI/ML API, billed as you go with no subscription.
What is GPT-6 Luna for?
Work that runs at volume and cannot wait: classification, extraction, routing, routine coding tasks, monitoring and background jobs, where latency and cost matter more than reaching for the strongest model.
What is the GPT-6 Luna model ID?
Use openai/gpt-6-luna as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.
What is the context window of GPT-6 Luna?
GPT-6 Luna accepts up to 1,050,000 tokens of context and returns up to 128,000 output tokens.