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GPT-5.6 Luna

by OpenAI

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.

Visit OpenAI ↗

Our verdict

Not reviewed yet

We have not reviewed GPT-5.6 Luna yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.

Notes

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

Key facts

What we have checked

Input price
$0.200 per million tokens
Checked OpenRouter models API
Output price
$1.20 per million tokens
Checked OpenRouter models API
Price on amazon-bedrock
$0.020 per million cached input tokens
Checked OpenRouter models API
Price on amazon-bedrock
$0.200 per million input tokens
Checked OpenRouter models API
Price on amazon-bedrock
$1.20 per million output tokens
Checked OpenRouter models API
Price on azure
$0.020 per million cached input tokens
Checked OpenRouter models API
Price on azure
$0.200 per million input tokens
Checked OpenRouter models API
Price on azure
$1.20 per million output tokens
Checked OpenRouter models API
Price on openai
$0.010 per million cached input tokens
Checked OpenRouter models API
Gpqa diamond
91.6% (for 9 July 2026)
Checked Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private
82.1% (for 9 July 2026)
Checked Epoch AI (CC BY 4.0)
Simpleqa verified
41% (for 9 July 2026)
Checked Epoch AI (CC BY 4.0)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

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

Price

What GPT-5.6 Luna costs, over time

Input price

$0.200 to $0.200

US dollars per million input tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Output price

$1.20 to $1.20

US dollars per million output tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Prices by host

HostPriceOver timeChecked
amazon-bedrockCached input$0.020 per million cached input tokensSince 30 Oct 20261 changeOpenRouter models API
amazon-bedrockInput$0.200 per million input tokensSince 30 Oct 20261 changeOpenRouter models API
amazon-bedrockOutput$1.20 per million output tokensSince 30 Oct 20261 changeOpenRouter models API
azureCached input$0.020 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
azureInput$0.200 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
azureOutput$1.20 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiCached input$0.010 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiInput$0.100 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
openaiOutput$0.600 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much GPT-5.6 Luna is used

Tokens served a day

1.1T to 213B

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Scores

How GPT-5.6 Luna scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index23.8indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
Artificial Analysis Coding Index71.4indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
Artificial Analysis Agentic Index42.1indexAs of 10 Nov 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,431EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena web development rating (Elo)1,519EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
LMArena vision rating (Elo)1,256EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09
Apex agents (best-across-versions)43percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Arc agi (best-across-versions)88percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Arc agi 2 (best-across-versions)59.5percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Balrog (best-across-versions)45.6percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Chess puzzles (best-across-versions)43percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Dtbench (best-across-versions)89.1percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Show 14 more scores
ScoreValueSourceChecked
Frontiercode (best-across-versions)39.8percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Frontiermath tier 4 v2 private (best-across-versions)61percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private (best-across-versions)82.1percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Furniture assembly (best-across-versions)42.5percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Gpqa diamond (best-across-versions)91.6percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Lmca (best-across-versions)48.5percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Mystery game puzzles (best-across-versions)21percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Otis mock aime 2024 2025 (best-across-versions)Saturated98.3percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Proofbench (best-across-versions)60percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Simplebench (best-across-versions)46.8percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Simpleqa verified (best-across-versions)41percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Surface evolver bench (best-across-versions)61.9percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Weirdml (best-across-versions)60.9percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Weirdml v3 (best-across-versions)9.3percentAs of 9 July 2026Epoch AI (CC BY 4.0)
Saturated
Top models score close to the maximum, so this test no longer separates them.

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Price changed

    cached input per mtok: 0.022 to 0.02

    Source: OpenRouter models API

  2. Price changed

    output per mtok: 1.32 to 1.2

    Source: OpenRouter models API

  3. Price changed

    input per mtok: 0.22 to 0.2

    Source: OpenRouter models API

  4. Price changed

    output per mtok: 6 to 1.2

    Source: OpenRouter models API

  5. Price changed

    input per mtok: 1 to 0.2

    Source: OpenRouter models API

In the AI Pulse

Recent daily briefs from the Enterprise DNA AI Pulse that mention this. The short daily read on what is actually happening in AI.

See today's AI Pulse →

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
1.5T ▼72.4%
Requests, last 7 days
117M
Tool calls, last 7 days
36.2M
Intelligence score
23.8
People's vote
1431
Average cost per request
29.0¢
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 Oct: 235B tokens, 22.6M requests20 Oct: 245B tokens, 23.2M requests21 Oct: 255B tokens, 20M requests22 Oct: 235B tokens, 18.4M requests23 Oct: 281B tokens, 23.7M requests24 Oct: 217B tokens, 25.2M requests25 Oct: 244B tokens, 36.2M requests26 Oct: 320B tokens, 26.2M requests27 Oct: 385B tokens, 26.8M requests28 Oct: 322B tokens, 22.1M requests29 Oct: 490B tokens, 27.5M requests30 Oct: 1.2T tokens, 31.7M requests31 Oct: 1.1T tokens, 26.6M requests1 Nov: 572B tokens, 18.4M requests2 Nov: 1.3T tokens, 32.5M requests3 Nov: 389B tokens, 18.9M requests4 Nov: 242B tokens, 17.2M requests5 Nov: 232B tokens, 17.9M requests6 Nov: 226B tokens, 18M requests7 Nov: 174B tokens, 14.5M requests8 Nov: 187B tokens, 13.4M requests9 Nov: 202B tokens, 16.9M requests10 Nov: 213B tokens, 18.8M requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with GPT-5.6 Luna.

Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.

DeveloperOpenAI
Exact model identifieropenai/gpt-5.6-luna
Inputfile, image, text
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Listed support
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient
Context length
1.1M tokens
Knowledge cutoff
16 Feb 2026
Developer release date
Not established
First seen in the catalogue
9 Jul 2026
Listed retirement date
Not established
Inspect the sources and their scope
catalogue source ↗

openai/gpt-5.6-luna: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-07
openrouter.ai ↗

Source for reasoning controls, first seen, tool calling, context length, input, knowledge cutoff, output, structured output.

Checked 2026-11-07
How to evaluate a model for your work →

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.

Build an appWorkflow & starter prompt ↗Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 10 Nov 2026, from OpenRouter models API. 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: 23.8 (2026-11-09) ↗Coding Index: 71.4 (2026-11-09) ↗Agentic Index: 42.1 (2026-11-09) ↗
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