GPT-5.6 Luna

OpenAIKey gpt-5.6-lunaAlso reported as openai/gpt-5.6-luna, cx/gpt-5.6-luna, codex/gpt-5.6-luna, combo/gpt-5.6-luna, gh/gpt-5.6-luna, router_client:unknown/gpt-5.6-luna, rmagpie/codex/gpt-5.6-luna, azure-openai/gpt-5.6-luna, cmd/gpt-5.6-luna, bbe/gpt-5.6-luna, a6/gpt-5.6-luna, sub2api-codex/gpt-5.6-luna, free/gpt-5.6-luna, opencode-go-responses/gpt-5.6-luna, anthropic/codex/gpt-5.6-luna, github/gpt-5.6-luna, sub-bridge/gpt-5.6-luna, auto/gpt-5.6-luna, router_client:codex/gpt-5.6-luna, 93170c28-07f9-4728-a359-099834792cc4/gpt-5.6-luna

Rank
#17
by active users
Active users
152
Down 390 from 542 active users in the previous 30 days. vs previous 30 days
Adoption
16%
of 967 accounts
Tokens
39.6B
cache included
Est. cost
$1.8K
at public list prices
First seen
May 21, 2026
in any submission

Oct 15 – Nov 13, 2026 (UTC)967 accounts100% of tokens from an identified modelData through Nov 13, 2026, 07:12 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

5 active users on Nov 13, 2026

Daily active users for GPT-5.6 Luna, Oct 15, 2026 to Nov 13, 2026. Peak 56. Use the left and right arrow keys to read each day.60300
Show daily values
Daily active users and tokens for GPT-5.6 Luna
Date (UTC)Active usersTokens
Oct 15, 2026561.6B
Oct 16, 2026513.7B
Oct 17, 2026361.9B
Oct 18, 2026321.3B
Oct 19, 2026502.3B
Oct 20, 2026432B
Oct 21, 2026372.3B
Oct 22, 2026422.2B
Oct 23, 2026402B
Oct 24, 202628637.1M
Oct 25, 202630804.5M
Oct 26, 2026431.6B
Oct 27, 2026492.4B
Oct 28, 2026421.6B
Oct 29, 2026321.7B
Oct 30, 202637937.3M
Oct 31, 202625372.5M
Nov 1, 202620595.4M
Nov 2, 202631930.8M
Nov 3, 202638859M
Nov 4, 202627729.5M
Nov 5, 2026271.8B
Nov 6, 202622486.3M
Nov 7, 202616323.4M
Nov 8, 202617363.6M
Nov 9, 2026171.4B
Nov 10, 2026201.4B
Nov 11, 202619892.9M
Nov 12, 202618406.3M
Nov 13, 2026521.9M

Token mix

How the 39.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input6.6%
  • Output0.6%
  • Cache read93%
  • Cache write<0.1%
  • Reasoning0.3%

Agents that carry GPT-5.6 Luna

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Codex CLI79% of this model's tokens94active users
  2. Pi6.6% of this model's tokens7active users
  3. Hermes Agent6.5% of this model's tokens21active users
  4. Oh My Pi4.0% of this model's tokens13active users
  5. Senpi (OmO Native)2.4% of this model's tokens9active users
  6. Prime Agent0.4% of this model's tokens1active users
  7. DeepSeek Harness0.2% of this model's tokens3active users
  8. Copilot0.2% of this model's tokens13active users
  9. OpenCode0.1% of this model's tokens11active users
  10. Aside0.1% of this model's tokens5active users
  11. Synthetic<0.1% of this model's tokens1active users
  12. Reasonix<0.1% of this model's tokens1active users
  13. Claude Code<0.1% of this model's tokens2active users
  14. Junie<0.1% of this model's tokens1active users
  15. 9Router<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5.6 Luna in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    156.7
    Rank #35 of 158 matched modelsNo conditions reportedModel released Jul 9, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    17.6%
    Rank #18 of 23 matched modelsMax · CodexPublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Codex CLI carried 79% of GPT-5.6 Luna tokens in the last 30 days (94 active users).

  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    35.9%
    Rank #19 of 21 matched modelsMaxModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as GPT-5.6 Luna Extra High
      33.0%
      XHighModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Luna High
      29.4%
      HighModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Luna Medium
      22.2%
      MediumModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
    • Listed as GPT-5.6 Luna Low
      16.0%
      LowModel released Jul 9, 2026Source: cursor.com (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    67.2%
    Rank #10 of 26 matched modelsMax · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 4 more results with other run conditionsHide the other results
    • Listed as gpt-5-6-luna (xhigh)
      56.9%
      XHigh · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-luna (high)
      44.2%
      High · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-luna (medium)
      11.3%
      Medium · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    • Listed as gpt-5-6-luna (low)
      1.5%
      Low · mini-swe-agentModel released Jul 9, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,518
    Rank #48 of 110 matched modelsXHigh · CodexPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

    Tokscale usage: Codex CLI carried 79% of GPT-5.6 Luna tokens in the last 30 days (94 active users).

  • Agent ArenaAgents · LMArena
    −0.02
    Rank #34 of 48 matched modelsXHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    91.6%
    Rank #32 of 160 matched modelsMaxRun date Jul 9, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

    Show 2 more results with other run conditionsHide the other results
    • Listed as gpt-5.6-luna_low
      82.3%
      LowRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.6-luna_none
      63.6%
      No reasoningRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    82.1%
    Rank #19 of 90 matched modelsMaxRun date Jul 9, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

    Show 2 more results with other run conditionsHide the other results
    • Listed as gpt-5.6-luna_low
      41.4%
      LowRun date Aug 29, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.6-luna_none
      39.6%
      No reasoningRun date Aug 29, 2026Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    41.0%
    Rank #52 of 86 matched modelsMaxRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierSWE. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. OpenAI is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.04
Est. per 1M tokens
93% cache reads
At the community mix
$0.03
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.45
Per 1M tokens at list prices
No cache

Cache reads were 93% of GPT-5.6 Luna tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • OpenAI list prices per 1M tokens: input $0.20, output $1.20, cache read $0.02, cache write $0.25.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.

List prices by provider

  • OpenAIReferencegpt-5.6-luna
    $0.20 input per 1M tokens$1.20 output per 1M tokens$0.02 cache read per 1M tokens$0.25 cache write per 1M tokens1.05M tokens of context
  • Amazon Bedrockopenai.gpt-5.6-luna
    $0.22 input per 1M tokens$1.32 output per 1M tokens$0.02 cache read per 1M tokens$0.28 cache write per 1M tokens1.05M tokens of context
  • Azuregpt-5.6-luna
    $0.20 input per 1M tokens$1.20 output per 1M tokens$0.02 cache read per 1M tokens$0.25 cache write per 1M tokens1.05M tokens of context
  • OpenRouteropenai/gpt-5.6-luna
    $0.20 input per 1M tokens$1.20 output per 1M tokens$0.02 cache read per 1M tokens$0.25 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewayopenai/gpt-5.6-luna
    $0.20 input per 1M tokens$1.20 output per 1M tokens$0.02 cache read per 1M tokens$0.25 cache write per 1M tokens1.05M tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1.05M tokens
Max output
128K tokens
Input
Text, Image, PDF
Output
Text
Knowledge cutoff
Feb 16, 2026
Release date
Jul 9, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-5.6 Luna most in this period, by tokens. Hidden accounts are never listed.

  1. 1Yoonjae@AngryJay919.1Btokens$379est. cost25active days$379 est. cost · 25 active days
  2. 2Emmanuel Olowe@isEmmanuelOlowe3.5Btokens$108est. cost17active days$108 est. cost · 17 active days
  3. 3Lai Quang Huy@1qh3.4Btokens$370est. cost11active days$370 est. cost · 11 active days
  4. 4SimonWei@simonwei973.4Btokens$105est. cost13active days$105 est. cost · 13 active days
  5. 5Sunghyun Kim@hellosunghyun2.7Btokens$91est. cost30active days$91 est. cost · 30 active days
  6. 6Marc Roig@Marc-Roig2.5Btokens$67est. cost15active days$67 est. cost · 15 active days
  7. 7rharmanca@rharmanca1.9Btokens$156est. cost28active days$156 est. cost · 28 active days
  8. 8Zen Huifer@huifer1.4Btokens$56est. cost13active days$56 est. cost · 13 active days
  9. 9Wooseok Sung@MercuriusDream1.2Btokens$34est. cost2active days$34 est. cost · 2 active days
  10. 10seongbin@seongbin9786836.9Mtokens$34est. cost14active days$34 est. cost · 14 active days

More from OpenAI

Other OpenAI models in the same period, by active users.

  1. GPT-6.1 Sol70% adoption675active users
  2. GPT-6 Astra59% adoption575active users
  3. GPT-6 Luna45% adoption439active users
  4. Codex Auto Review30% adoption292active users
  5. GPT-6.1 Terra29% adoption285active users
  6. GPT-6 Sol25% adoption245active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • Terminal-BenchTerminal-Bench 4.1 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Nov 12, 2026 · Data through Nov 11, 2026Terminal-Bench 4.1 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count