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GPT-5.6 Luna

GPT-5.6 Luna is a fast, affordable GPT-5.6 model that brings strong capability at the lowest cost in the series.

text + image + file → text · made by OpenAI

$0.2→$1.2per Mtok in / out
OpenAI · 15 sellers

Available within a subscription 4 plans

Bought by the month. What a plan allows is the half of its price that a rate card cannot carry, so it is printed beside every one.

Sold by 36 ways

SellerLaneRate
Microsoft Azure AI cloudflex$0.1per Mtok in$0.6per Mtok outraw.githubusercontent.com · read 2026-10-31
OpenAI apibatch$0.1per Mtok in$0.6per Mtok out$0.01per Mtok cacheddevelopers.openai.com · read 2026-08-24
Databricks cloudstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
DigitalOcean cloudstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
OpenAI apistandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cacheddevelopers.openai.com · read 2026-08-24
AWS Bedrock cloudstandard$0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writemodels.dev · read 2026-10-31
Databricks cloudpriority$0.4per Mtok in$2.4per Mtok out$0.04per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Microsoft Azure AI cloudlong-context$0.4per Mtok in$1.8per Mtok out$0.04per Mtok cachedprices.azure.com · read 2026-08-24
Microsoft Azure AI cloudpriority$0.44per Mtok in$2.64per Mtok out$0.044per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Requesty 3 ways$0.09per Mtok in$0.54per Mtok out$0.009per Mtok cached
Requesty aggregatornot on the seller's list todayopenai flex$0.09per Mtok in$0.54per Mtok out$0.009per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayopenai-responses flex$0.09per Mtok in$0.54per Mtok out$0.009per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayopenai-responses$0.1per Mtok in$0.6per Mtok out$0.01per Mtok cachedrouter.requesty.ai · read 2026-09-11
Requesty aggregatornot on the seller's list todayazure swedencentral$0.2per Mtok in$1.19per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todaybedrock us-east-2$0.2per Mtok in$1.19per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todaybedrock us-west-2$0.2per Mtok in$1.19per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorazure$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-10-09
Requesty aggregatoropenai$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-10-10
Requesty aggregatorbedrock$0.22per Mtok in$1.32per Mtok out$0.022per Mtok cachedrouter.requesty.ai · read 2026-08-28
Nous Research 2 ways$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache write
Nous Research aggregatorbatch$0.1per Mtok in$0.6per Mtok out$0.01per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 7 ways$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache write
OpenRouter aggregatorbatch$0.1per Mtok in$0.6per Mtok out$0.01per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatoropenai/flex$0.1per Mtok in$0.6per Mtok out$0.01per Mtok cached$0.12per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatoramazon-bedrock/us-east-1$0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorazure/eu$0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatorazure/us$0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writeopenrouter.ai · read 2026-08-26
OpenRouter aggregatoropenai/fast$0.4per Mtok in$2.4per Mtok out$0.04per Mtok cached$0.5per Mtok cache writeopenrouter.ai · read 2026-08-30
OpenRouter aggregatornot on the seller's list todayopenai/priority$0.4per Mtok in$2.4per Mtok out$0.04per Mtok cached$0.5per Mtok cache writeopenrouter.ai · read 2026-08-25
AtlasCloud aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedapi.atlascloud.ai · read 2026-09-20
ElectronHub aggregatorstandard$0.2per Mtok in$1.2per Mtok outapi.electronhub.ai · read 2026-10-31
GitHub Copilot aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
Inference.net aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedapi.inference.net · read 2026-10-31
RedPill aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeapi.redpill.ai · read 2026-10-27
Venice AI aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-10-31
Vercel AI Gateway aggregatorstandard$0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeai-gateway.vercel.sh · read 2026-08-25

Measured 41 standings

PlaceBoardMetricScore
9thof 41Balrog — Epoch AIAverage progress (max)0.456
12thof 29Surface evolver bench — Epoch AIMean score (medium)0.619
13thof 17SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems)Resolved Rate (%) (medium)43.6
17thof 132Ale bench — Epoch AIPerformance (max)1667.4
17thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (max)82.105
17thof 35Furniture assembly — Epoch AImean_score (max)42.5
21stof 69Deepswe — Epoch AIPass@1 (max)0.672
22ndof 84Proofbench — Epoch AIAccuracy (max)60
22ndof 25Weirdml v3 — Epoch AIScore (xhigh)5.158
23rdof 78Frontiermath tier 4 v2 — Epoch AImean_score (max)60.976
26thof 131Artificial Analysis · Agentic IndexIndex42.1
27thof 35Blueprint bench 2 — Epoch AIScore22.56
27thof 46Frontiercode — Epoch AIMain score0.398
27thof 56Gdp pdf — Epoch AIGDP.pdf score0.227
28thof 306OTIS Mock AIME 2024-2025mean_score (max)98.333
33rdof 326GPQA Diamondmean_score (max)91.604
34thof 154Chess puzzles — Epoch AImean_score (max)43
37thof 163Artificial Analysis · Coding IndexIndex71.4
43rdof 53LMArena · AgentNet Improvement (%)1.48
43rdof 71Vending bench 2 — Epoch AIScore4094.712
46thof 60Apex agents — Epoch AIPass@1 score0.43
48thof 165LMArena · VisionScore (Elo) (xhigh)1258
48thof 173Weirdml — Epoch AIAccuracy (high)60.86
49thof 141LMArena · WebDevScore (Elo) (xhigh)1520
49thof 135Webdev arena — Epoch AIArena Score (xhigh)1518.87
50thof 93Simpleqa verified — Epoch AImean_score (max)41
53rdof 82Cursorbench — Epoch AIScore (max)35.9
56thof 102Simplebench — Epoch AIScore (AVG@5)0.468
59thof 142Mystery game puzzles — Epoch AImean_score (max)21
63rdof 260Critpt — Epoch AIAccuracy (max)20.571
74thof 414LMArena · TextScore (Elo) (xhigh)1452
74thof 197Lmca — Epoch AIScore (max)48.54
75thof 298ARC-AGI-1 (Semi-Private)Score (%) (max)90.67
77thof 235Scicode — Epoch AIScore (max)53.588
78thof 282ARC-AGI-2 (Public Eval)Score (%) (max)64.17
91stof 298ARC-AGI-2 (Semi-Private)Score (%) (max)59.58
93rdof 235Dtbench — Epoch AIAccuracy (xhigh)89.07
97thof 112ARC-AGI-3 (Semi-Private)Score (%) (max)0.18
99thof 290Arc agi 2 — Epoch AIScore (max)59.54
101stof 273ARC-AGI-1 (Public Eval)Score (%) (max)91.25
102ndof 309Arc agi — Epoch AIScore (max)88

About

GPT-5.6 Luna — a text model from OpenAI, sold by 15 companies from $0.2 in and $1.2 out per million tokens, placed 28th of 306 on OTIS Mock AIME 2024-2025.

It takes text, images and files and returns text, with a context window of 272,000 tokens. It was published in July 2026, trained on material up to February 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Fifteen companies sell it. The cheapest is $0.2 in and $1.2 out per million tokens at AtlasCloud. Beside the standard rate there are faster, flex, separately routed, batch and regional lanes. It has been measured on 41 boards, and stands best at 28th of 306 on OTIS Mock AIME 2024-2025.

Every current figure

Maker
OpenAI
Register
model
Takes
text + image + file
Returns
text
Context
272,000 tokens
Published
July 2026
Knowledge to
February 2026
Licence
not read
Sellers
15
Price
$0.2 in and $1.2 out per million tokens — AtlasCloud
Boards
41
Best place
28th of 306 — OTIS Mock AIME 2024-2025

Known as 24 names

GPT-5.6 Luna (high)GPT-5.6 Luna (max)GPT-5.6 Luna (xhigh)GPT-5.6 Luna (Low)GPT-5.6 Luna (Medium)GPT 5.6 Luna (xHigh)GPT-5.6 Luna [medium]Codex + GPT-5.6 Luna (max)openai/gpt-5.6-luna5.6 lunaopenai/gpt-5.6-luna:batchgpt-5.6-lunaazure/gpt-5.6-luna@eastus2azure/gpt-5.6-luna@swedencentralazure/openai-responses/gpt-5.6-luna@eastus2azure/openai-responses/gpt-5.6-luna@swedencentralbedrock/gpt-5.6-luna@us-east-1bedrock/gpt-5.6-luna@us-east-2bedrock/gpt-5.6-luna@us-west-2openai-responses/gpt-5.6-lunaopenai-responses/gpt-5.6-luna:flexopenai/gpt-5.6-luna:flexopenai/gpt-5.6-luna-batchOpenAI: GPT-5.6 Luna (batch)