GPT 5.6 Luna
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GPT 5.6 Luna

gpt-5.6-luna
OpenAI
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.

Pricing

TierPricingCache ReadCache WriteImage GenerationWeb Search
Input<=272K
$0.200$1.200
$0.02/M tokens$0.25/M tokens-$0.01/request
272K<Input
$0.400$1.800
$0.04/M tokens$0.5/M tokens-$0.01/request

Input Modalities

  • Text
  • Vision

Output Modalities

  • Text

Context length

  • 1.05M tokens

Max output

  • 128K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

Azure gpt-5.6-luna
Pricing$0.200$1.200
Cache Read$0.02/M tokens
Cache Write$0.25/M tokens
Web Search$0.01/request
Pricing$0.400$1.800
Cache Read$0.04/M tokens
Cache Write$0.5/M tokens
Web Search$0.01/request
Context1M
Max output128K
Latency5.7S
Throughput38.3TPS
Uptime
99.58% uptime 2 days ago
99.97% uptime yesterday
99.62% uptime today
OpenAI gpt-5.6-luna
Pricing$0.200$1.200
Cache Read$0.02/M tokens
Cache Write$0.25/M tokens
Web Search$0.01/request
Pricing$0.400$1.800
Cache Read$0.04/M tokens
Cache Write$0.5/M tokens
Web Search$0.01/request
Context1M
Max output128K
Latency4.3S
Throughput101.5TPS
Uptime
95.01% uptime 2 days ago
99.33% uptime yesterday
100.00% uptime today

Performance for gpt-5.6-luna

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="gpt-5.6-luna",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is GPT 5.6 Luna?

GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.