GPT-5.6 Luna
everyais/gpt-5-6-luna
GPT-5.6 Luna (everyais/gpt-5-6-luna) availability, capabilities, context limits, and public reference pricing on everyais.
Model family gptInput Text · ImageOutput Text
Available now
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-06-25
- Context window
- 272K
- Price unit
- Per 1M tokens
- Maximum output
- 4,096
- Model reference price (USD)
- Standard (≤272K): Input $0.2 · Output $1.2 /1M · Long context (>272K, full request): Input $0.4 · Output $1.8 /1M
- Cache reference price (USD)
- Cache read $0.02 /1M · Cache write $0.25 /1M
Capabilities
- ✓ Vision
Supported endpoints
- /v1/chat/completions
Usage and availability trend
Daily tokensInputOutput
Last 16 days · 2026-09-08 Input 83 · Output 196 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gpt-5-6-luna",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Other models in this family
Estimate this model's monthly cost
For token-priced models, estimate USD catalog reference cost from monthly requests and average input/output tokens. Your actual billed rate can differ by account.