Models / OpenAI/ GPT-5.6 Luna

GPT-5.6 Luna

OpenAI · released Jul 9, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Proprietary
Input
$1.00
Output
$6.00
Cached
Not published

List price · per 1M tokens · OpenAI at 1.1M context · source ↗ · a reseller below undercuts it; the table carries the spread

Our take

Written Aug 3, 2026

GPT-5.6 Luna is OpenAI's flagship text model that can handle over one million tokens in a single request, released in July 2026. It accepts text, images and files, and is available across a wide price spectrum from budget to premium tiers depending on which host you choose.

Who should pick it

Pick this for long-document analysis at full one-million-token scale, or for coding and web development where its measured skill is strongest. Choose the budget tier if cost matters more than the last few tokens per second, or the premium tier if throughput is critical. Skip it if you need creative writing at peak quality, want to self-host or fine-tune, or need verified speed data on the most expensive tiers.

The case for it

  • Extremely large request limit: over one million tokens, rare among hosted models.
  • Coding and web development is its strongest measured skill, with Arena scores holding steady across multiple evaluation dates.
  • Maths and hard-prompt performance is unusually stable, shifting by under four points between dates — less volatile than typical leaderboard movement.
  • Wide price range lets you trade cost for speed across seven tracked hosts.

The case against it

  • Creative writing is its weakest measured skill, more than thirty points below its own overall chat score.
  • No measured tokens per second for the top two price tiers, so throughput is unverified there.
  • Weights are proprietary with no local or fine-tuning option.
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How good is it?

IntelligencePuzzles, maths, exam questions

3.5 of 5

Arena Text (overall)34th of 143 · 1450.4via xHigh

Arena Hard Prompts 34th of 143 via xHighArena Maths 15th of 139 via xHighLiveBench Data Analysis 10th of 35 via MaxLiveBench Reasoning 14th of 35 via MaxLiveBench Mathematics 20th of 35 via Max

CodingWriting and fixing code on its own

3.5 of 5

Arena Coding33rd of 143 · 1501.4via xHigh

Arena Code (WebDev) 14th of 74 via codex-harnessLiveBench Coding 4th of 35 via Max

AgenticPlanning, calling tools, staying on task

3 of 5

Arena Agent (IPS)13th of 36 · 0.035via xHigh

LiveBench Agentic Coding 19th of 35 via Max

WritingWe do not rate this

Scored, not ratedThe placings are on the right.

Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where GPT-5.6 Luna placed and give it no mark out of five.

Arena Creative Writing 38th of 143 · 1417.9 via xHighLiveBench Language 29th of 35 · 72.6 via Max
Also scored, on boards we give no mark for
Arena Instruction Following 31st of 143 via xHighLiveBench 18th of 35 via MaxLiveBench Instruction Following 30th of 35 via Max

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

Every published score for this model16 scoresEvery figure we hold, from 16 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
73.6via Maxindependentsource ↗
48.4via Maxindependentsource ↗
82.9via Maxindependentsource ↗
78via Maxindependentsource ↗
72.6via Maxindependentsource ↗
87.2via Maxindependentsource ↗
85.6via Maxindependentsource ↗
0.035via xHighindependentsource ↗
1501.4via xHighindependentsource ↗
1417.9via xHighindependentsource ↗
1474.5via xHighindependentsource ↗
1448via xHighindependentsource ↗
1476via xHighindependentsource ↗
1450.4via xHighindependentsource ↗
1522.9via codex-harnessindependentsource ↗
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Or rent it from someone else

Cheapest published offer

Why this differs from the header. The strip above quotes OpenAI's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$0.22 in / $1.32 out
Context served
1.1M
Throughput
~43 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
Amazon Bedrockus-east-1$0.22 / $1.321.1M43 tok/sNoNoUnknown
OpenAIflex tier$0.25 / $1.501.1M44 tok/sNoYesunknown periodUnknown
OpenRouter$0.50 / $3.001.1Mnot measuredUnknownUnknownUnknown
OpenAI$1.00 / $6.001.1Mnot measuredNoYesunknown periodUnknown
Microsoft Azure AI$1.00 / $6.001.1M55 tok/sNoNoConfirmed
Microsoft Azure AIeu$1.10 / $6.601.1M125 tok/sNoNoConfirmed
OpenAIpriority tier$2.00 / $12.001.1Mnot measuredNoYesunknown periodUnknown

Across the 7 listings we hold: 6 say they do not train on prompts, 0 say they do and 1 do not say. 2 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
Amazon Bedrockus-east-1
OpenAIflex
OpenRouter
OpenAI
Microsoft Azure AI
Microsoft Azure AIeu
OpenAIpriority

Tool calling: 7 of 7 listings say yes. JSON output: 6 of 7 listings say yes, 1 says no. Strict schema: 6 of 7 listings say yes, 1 says no.

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Models people weigh against GPT-5.6 Luna

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When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 1501.4 via xHigh on Arena Codingleaderboard
Aug 2, 2026BenchmarkScored 1417.9 via xHigh on Arena Creative Writingleaderboard
Aug 2, 2026BenchmarkScored 1474.5 via xHigh on Arena Hard Promptsleaderboard
Aug 2, 2026BenchmarkScored 1448 via xHigh on Arena Instruction Followingleaderboard
Aug 2, 2026BenchmarkScored 1476 via xHigh on Arena Mathsleaderboard
Aug 2, 2026BenchmarkScored 1450.4 via xHigh on Arena Text (overall)leaderboard
Aug 2, 2026BenchmarkScored 1522.9 via codex-harness on Arena Code (WebDev)leaderboard
Jul 31, 2026Price changeAmazon Bedrock raised GPT-5.6 Luna pricing by 10%input +10% ($0.20 → $0.22 per 1M tokens); output +10% ($1.20 → $1.32 per 1M tokens); cache read +10% ($0.020 → $0.022 per 1M tokens); cache write +10% ($0.25 → $0.28 per 1M tokens)
Jul 29, 2026Price changeOpenAI cut GPT-5.6 Luna pricing by 50%input −50% ($0.50 → $0.25 per 1M tokens); output −50% ($3.00 → $1.50 per 1M tokens)
Jul 28, 2026Price changeopenrouter repriced openai/gpt-5.6-lunainput $1 → $0.5, output $6 → $3 per 1M tokens

Prices last checked 9d ago

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 7 listings do not say whether they train on prompts.
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Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+image+file->text
Catalogue slug
openai-gpt-5-6-luna

Machine-readable model card (omc.json) →

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