Enterprise DNAEnterprise DNA
LModelsBest vision
OpenAI logo

GPT-5.6 Luna

by OpenAI

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic

GL

Models

GPT-5.6 Luna

Added 10 July 2026

#openai

Overview

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

How to use / API access

Call via OpenRouter with model id `openai/gpt-5.6-luna`.

  • openrouter · openai/gpt-5.6-luna Docs

OpenRouter id: openai/gpt-5.6-luna

Benchmarks

  • Intelligence Index (artificial-analysis): 37.3 index
  • Coding Index (artificial-analysis): 71.4 index
  • Agentic Index (artificial-analysis): 42.1 index

Notes

GPT-5.6 Luna is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much GPT-5.6 Luna is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
1.7T ▼6.8%
Requests, last 7 days
160M
Tool calls, last 7 days
32.8M
Intelligence score
37.3
People's vote
1431
Average cost per request
17.7¢
Price per million tokens
$0.2 in · $1.2 out
01T2T19 Sept: 1.1T tokens, 38.6M requests20 Sept: 1.2T tokens, 46.7M requests21 Sept: 1.3T tokens, 46.9M requests22 Sept: 1.5T tokens, 49.9M requests23 Sept: 1.2T tokens, 42.9M requests24 Sept: 1.2T tokens, 34.4M requests25 Sept: 1.1T tokens, 31.2M requests26 Sept: 1.1T tokens, 25M requests27 Sept: 1.1T tokens, 23.2M requests28 Sept: 1.3T tokens, 31.8M requests29 Sept: 1.3T tokens, 35.6M requests30 Sept: 685B tokens, 40.2M requests1 Oct: 369B tokens, 37.8M requests2 Oct: 325B tokens, 37.2M requests3 Oct: 205B tokens, 32.3M requests4 Oct: 234B tokens, 33.4M requests5 Oct: 279B tokens, 35.6M requests6 Oct: 264B tokens, 27.7M requests7 Oct: 282B tokens, 22.4M requests8 Oct: 304B tokens, 23.4M requests9 Oct: 300B tokens, 19.1M requests10 Oct: 207B tokens, 15.6M requests11 Oct: 213B tokens, 15.9M requests12 Oct: 253B tokens, 22.1M requests13 Oct: 250B tokens, 25.7M requests14 Oct: 284B tokens, 25.8M requests15 Oct: 246B tokens, 23.1M requests16 Oct: 242B tokens, 23.7M requests17 Oct: 269B tokens, 25.2M requests18 Oct: 180B tokens, 14.6M requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 37.3 (2026-10-18) ↗Coding Index: 71.4 (2026-10-18) ↗Agentic Index: 42.1 (2026-10-18) ↗
Compare this model with alternatives →