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 · 13 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.
- ChatGPT FreeOpenAIunlimited text chats with GPT-5.6 Luna, subject to abuse guardrails; limited messages with uploads, limited and slower image generation, limited voice, limited deep research, limited memory and limited Codex$0a month
- ChatGPT GoOpenAImore messages with tools, more uploads, more image creation, more voice and longer memory than Free; the plan may include ads$8a month
- ChatGPT PlusOpenAIadvanced reasoning with GPT-5.6, expanded messages and uploads, expanded deep research, memory and context, projects, scheduled tasks and custom GPTs, and expanded Codex$20a month
- ChatGPT ProOpenAIfive or twenty times the usage of Plus, Pro reasoning, the maximum Codex tasks, unlimited and faster image creation, and maximum deep research$200a month
Sold by 32 ways
| Seller | Lane | Rate |
|---|---|---|
| OpenAI api | batch | $0.1per Mtok in$0.6per Mtok out$0.01per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| DigitalOcean cloud | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| AWS Bedrock cloud | standard | $0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writemodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | long-context | $0.4per Mtok in$1.8per Mtok out$0.04per Mtok cachedprices.azure.com · read 2026-08-24 |
| Microsoft Azure AI cloud | priority | $0.44per Mtok in$2.64per Mtok out$0.044per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Databricks cloud | standard | $1per Mtok in$6per Mtok out$0.1per Mtok cached$1.25per Mtok cache writemodels.dev · read 2026-09-16 |
| Requesty 4 ways | $0.09per Mtok in$0.54per Mtok out$0.009per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai 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 today | openai-responses flex | $0.09per Mtok in$0.54per Mtok out$0.009per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | openai-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 today | azure 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 today | bedrock 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 today | bedrock us-west-2 | $0.2per Mtok in$1.19per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-09-15 |
| Requesty aggregator | openai | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-09-15 |
| Requesty aggregator | bedrock | $0.22per Mtok in$1.32per Mtok out$0.022per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| ElectronHub aggregator | standard | $0.1per Mtok in$0.75per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Nous Research 2 ways | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache write | |
| Nous Research aggregator | batch | $0.1per Mtok in$0.6per Mtok out$0.01per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $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 aggregator | batch | $0.1per Mtok in$0.6per Mtok out$0.01per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $0.1per Mtok in$0.6per Mtok out$0.01per Mtok cached$0.12per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | amazon-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 aggregator | azure/eu | $0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/us | $0.22per Mtok in$1.32per Mtok out$0.022per Mtok cached$0.28per Mtok cache writeopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregator | openai/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 today | openai/priority | $0.4per Mtok in$2.4per Mtok out$0.04per Mtok cached$0.5per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| GitHub Copilot aggregator | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-09-16 |
| Inference.net aggregator | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cachedapi.inference.net · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.2per Mtok in$1.2per Mtok out$0.02per Mtok cached$0.25per Mtok cache writeai-gateway.vercel.sh · read 2026-08-25 |
| Venice AI aggregator | standard | $0.25per Mtok in$1.5per Mtok out$0.025per Mtok cached$0.31per Mtok cache writemodels.dev · read 2026-09-16 |
Measured 40 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 7thof 112 | Ale bench — Epoch AI | Performance (max) | 1667.4 |
| 9thof 17 | terminal-bench@2.1 | Accuracy (max) | 75.7 |
| 10thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (max) | 82.105 |
| 10thof 64 | Proofbench — Epoch AI | Accuracy (max) | 60 |
| 11thof 26 | Surface evolver bench — Epoch AI | Mean score (medium) | 0.619 |
| 12thof 39 | Gdp pdf — Epoch AI | GDP.pdf score | 0.227 |
| 13thof 17 | SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems) | Resolved Rate (%) (medium) | 43.6 |
| 15thof 30 | Frontiercode — Epoch AI | Main score | 0.398 |
| 15thof 290 | OTIS Mock AIME 2024-2025 | mean_score (max) | 98.333 |
| 16thof 24 | Blueprint bench 2 — Epoch AI | Score | 22.56 |
| 16thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (max) | 60.976 |
| 17thof 123 | Lmca — Epoch AI | Score (max) | 48.54 |
| 21stof 69 | Deepswe — Epoch AI | Pass@1 (max) | 0.672 |
| 26thof 313 | GPQA Diamond | mean_score (max) | 91.604 |
| 27thof 143 | Artificial Analysis · Agentic Index | Index | 42.7 |
| 27thof 222 | Chess puzzles — Epoch AI | mean_score (max) | 40 |
| 30thof 74 | Cursorbench — Epoch AI | Score (max) | 61.1 |
| 32ndof 39 | ARC-AGI-3 (Semi-Private) | Score (%) (max) | 0.18 |
| 33rdof 177 | Critpt — Epoch AI | Accuracy (max) | 20.6 |
| 33rdof 60 | Vending bench 2 — Epoch AI | Score | 4094.712 |
| 35thof 121 | Webdev arena — Epoch AI | Arena Score (xhigh) | 1517.6 |
| 36thof 161 | Dtbench — Epoch AI | Accuracy (max) | 89.07 |
| 37thof 184 | Artificial Analysis · Coding Index | Index | 71.4 |
| 37thof 128 | LMArena · WebDev | Score (Elo) (xhigh) | 1519 |
| 39thof 80 | Simpleqa verified — Epoch AI | mean_score (max) | 41 |
| 40thof 152 | LMArena · Vision | Score (Elo) (xhigh) | 1258 |
| 43rdof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index (max) | 38 |
| 45thof 46 | LMArena · Agent | Net Improvement (%) | 0.44 |
| 45thof 170 | Weirdml — Epoch AI | Accuracy (high) | 60.86 |
| 47thof 127 | Mystery game puzzles — Epoch AI | mean_score (max) | 21 |
| 48thof 168 | Scicode — Epoch AI | Score (max) | 52.546 |
| 51stof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (max) | 90.67 |
| 51stof 216 | ARC-AGI-2 (Public Eval) | Score (%) (max) | 64.17 |
| 56thof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.468 |
| 61stof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (max) | 59.58 |
| 67thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (max) | 91.25 |
| 67thof 402 | LMArena · Text | Score (Elo) (xhigh) | 1452 |
| 68thof 244 | Arc agi — Epoch AI | Score (max) | 88 |
| 70thof 227 | Arc agi 2 — Epoch AI | Score (max) | 59.54 |
| 87thof 656 | Epoch capabilities index — Epoch AI | ECI Score (none) | 156.33 |
About
GPT-5.6 Luna — a text model from OpenAI, sold by 13 companies from $0.1 in and $0.75 out per million tokens, placed 15th of 290 on OTIS Mock AIME 2024-2025.
It takes text, images and files and returns text, with a context window of 1,050,000 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. Thirteen companies sell it. The cheapest is $0.1 in and $0.75 out per million tokens at ElectronHub. Beside the standard rate there are separately routed, faster, batch, regional and flex lanes. It has been measured on 40 boards, and stands best at 15th of 290 on OTIS Mock AIME 2024-2025.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 1,050,000 tokens
- Published
- July 2026
- Knowledge to
- February 2026
- Licence
- not read
- Sellers
- 13
- Price
- $0.1 in and $0.75 out per million tokens — ElectronHub
- Boards
- 40
- Best place
- 15th of 290 — OTIS Mock AIME 2024-2025
Known as 23 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)5.6 lunaopenai/gpt-5.6-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 (batch)