GPT-5.6 Luna

openai/gpt-5.6-luna
NewFeatured
VisionToolsJSONReasoning
by OpenAI · 2026-07-09

GPT-5.6 Luna is the fast, cost-efficient model in OpenAI's GPT-5.6 series — tuned for high-volume, latency-sensitive workloads while retaining genuinely capable reasoning. It is well suited to chat, classification, extraction, routing, and lightweight agentic workflows where responsiveness and price per call dominate, and still serves a full 1.05M-token context window with up to 128K output tokens. It accepts text, image, and file inputs with text output, supports configurable reasoning effort so you can dial depth up for the occasional hard request, and is a first-class OpenAI Responses model with native tool calling and structured outputs. Reach for Luna at the top of a fan-out, as a cheap first-pass or draft model, or wherever you run millions of calls and every fraction of a cent and millisecond counts.

ctx1.05M tokens
Max output128K
Inputtext + image + file
Outputtext
p50 TTFT2.00 s
INPUT$1.00/ 1M tokens
OUTPUT$6.00/ 1M tokens
p50 TTFT2.00 s7d
p95 TTFT10.00 s7d
TRAFFIC18.7Ktokens / 7d

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="openai/gpt-5.6-luna",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • include_reasoning
  • max_completion_tokens
  • max_tokens
  • reasoning
  • reasoning_effort
  • response_format
  • seed
  • structured_outputs
  • tool_choice
  • tools

Pricing

TierInput / 1M tokensOutput / 1M tokensCache read / 1MCache write / 1M
272K$1.00$6.00$0.100$1.25
$2.00$9.00$0.200$2.50
Tier selected by input token count of each request

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $25.00 · With prompt caching $21.85

Estimate based on list price

Tiered pricing — this estimate uses base-tier rates.

Token & cost estimator

Input tokens: 20Cost per request: $0.003020

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

p50 TTFT
2.00 s
Output speed
30.0 tok/s
p95 TTFT
10.00 s
Error rate
0%

Public benchmarks

Source: Design Arena

How it compares

GPT-5.6 LunaGPT-5.2 ProGPT-5.4 ProGPT-5.5
Input $/M$1.00$21.00$60.00$5.00
Output $/M$6.00$168.00$270.00$30.00
Context1.1M400K1.1M
Quality7/1010/1010/1010/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

FAQ

How much does OpenAI: GPT-5.6 Luna cost on OrcaRouter?
OpenAI: GPT-5.6 Luna is priced at $1.00 per 1M input tokens and $6.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is OpenAI: GPT-5.6 Luna's context window?
OpenAI: GPT-5.6 Luna supports a context window of 1M tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call OpenAI: GPT-5.6 Luna via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="openai/gpt-5.6-luna" in the chat.completions.create call.
Does OrcaRouter rate-limit OpenAI: GPT-5.6 Luna?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/openai/gpt-5.6-lunaOpen
Machine-readable:/llms.txt/llms-full.txt