OpenAI: GPT-5.6 Luna
Cost-efficient GPT-5.6 model for fast, high-volume workloads
- Model lab
- OpenAI
- Model family
- gpt-luna
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/openai/gpt-5-6-luna.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/openai/gpt-5-6-luna"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
GPT-5.6 Luna API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.048 / 1M tokens |
| Output | USD 0.296 / 1M tokens |
Benchmarks
High
Low
Max
Medium
Non-reasoning
Xhigh
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Artificial Analysis measurement · High
| Measurement variant | Output speed | Time to first token | Time to first answer token | End-to-end response time |
|---|---|---|---|---|
| High | 124.23 tokens/s | 9.77 s | — | — |
| Low | 118.77 tokens/s | 1.29 s | — | — |
| Max | 129.44 tokens/s | 107.49 s | — | — |
| Medium | 121.22 tokens/s | 2.06 s | — | — |
| Non-reasoning | 126.4 tokens/s | 0.72 s | — | — |
| Xhigh | 127.76 tokens/s | 32.64 s | — | — |
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
GPT-5.6 Luna Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| GPT-5.6 LunaThis page | USD 0.048 / 1M tokens | USD 0.296 / 1M tokens | 1,050,000 | Text output · Reasoning · Tool calling |
| GPT-6 Luna | USD 0.08 / 1M tokens | USD 0.4 / 1M tokens | 1,050,000 | Text output · Reasoning · Tool calling |
| GPT-6.1 Sol | USD 1.6 / 1M tokens | USD 8 / 1M tokens | 1,050,000 | Text output · Reasoning · Tool calling |
| GPT-6 Sol | USD 1.6 / 1M tokens | USD 8 / 1M tokens | 1,050,000 | Text output · Reasoning · Tool calling |
| GPT-6 Astra | USD 8 / 1M tokens | USD 40 / 1M tokens | 1,050,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image, pdf
- Output
- text
- Context window
- 1,050,000
- Maximum input
- 922,000
- Maximum output
- 128,000
- Release date
- 2026-07-09
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- No
- Open weights
- No
Frequently asked questions
What is GPT-5.6 Luna for?
Cost-efficient GPT-5.6 model for fast, high-volume workloads
What inputs and outputs does GPT-5.6 Luna support?
Recorded inputs: text, images, PDF; outputs: text.
How is GPT-5.6 Luna priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.048 / 1M tokens; Output USD 0.296 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for GPT-5.6 Luna?
Current model records list Context window 1,050,000 tokens; Maximum output 128,000 tokens.
What model parameter does the Quickstart use?
The example uses moduck/openai/gpt-5-6-luna. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.