# GPT-5.6 LunaLow

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OpenAI

Canonical URL: https://benchize.com/models/gpt-5-6-luna-low
Last updated: Thu, 22 Oct 2026 05:40:11 GMT

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OpenAI

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Latency | Source |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 82.32% | SE ±2.72 pp | 66 / 126 | — | — | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.8232323232323232 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8232323232323232 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort low sourceModelVersion gpt-5.6-luna_low ### Reported statistics Uncertainty Standard error: ±2.72 pp standardError 0.027178752639044908 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label gpt-5.6-luna Source version GPQA diamond Evaluated 2026-08-07T00:08:31.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/96` |  |  |  |  |  |  |  |
| [BullshitBench v2](https://benchize.com/benchmarks/bullshitbench%3Av2.md) | 37% | — | 93 / 191 | — | — | [bullshitbench · v2](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `green_rate` \| 0.37 \| score_fraction \| all_attempts \| Higher is better \| \| `red_rate` \| 0.24 \| score_fraction \| all_attempts \| Lower is better \| \| `refusal_rate` \| 0.0 \| score_fraction \| all_attempts \| Lower is better \| \| `avg_score` \| 1.0633 \| score \| judge_grade_0_to_2 \| Higher is better \| ### Configuration Reasoning effort low suite v2 thinkingEnabled true ### Reported statistics acceptedCount 24 answeredCount 100 clearCount 37 errorCount 0 partialCount 39 rank 109 refusalCount 0 sampleSize 100 ### Source [Original source](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) Source bullshitbench Original model label openai/gpt-5.6-luna Source version v2 Observed 2026-10-22T03:10:12.603Z Evidence SHA-256 `98b485e08764d1c97144bc4f7b28ced1a96d50850947c775870dfda0e5d749b5` Source locator `/rows/108` |  |  |  |  |  |  |  |
| [ARC-AGI-2](https://benchize.com/benchmarks/arc-prize%3Av2_Semi_Private.md) | 5.14% | — | 163 / 243 | 0.07usd per task | — | [arc prize · v2](https://arcprize.org/media/data/leaderboard/v2.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0514 \| score_fraction \| v2_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.07 \| usd_per_task \| v2_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v2_Semi_Private harness Not reported modelGroup openai-gpt-5-6-luna modelType CoT Reasoning effort low sourceModelVersion openai-gpt-5-6-luna-low thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v2.json) Source arc prize Original model label GPT-5.6 Luna (Low) Source version v2 Observed 2026-10-22T05:20:04.306Z Evidence SHA-256 `4351eb696e78113b0459e9bb5f0258318b905efef34f473dcea51ce641b0d94d` Source locator `/evaluations/165` |  |  |  |  |  |  |  |
| [Mystery Game Puzzles](https://benchize.com/benchmarks/epoch-ai%3Amystery_game_puzzles.md) | 17% | SE ±3.78 pp | 47 / 72 | — | — | [epoch ai · Mystery Game Puzzles](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.17 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.17 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Mystery Game Puzzles reasoningBudget Not reported Reasoning effort low sourceModelVersion gpt-5.6-luna_low ### Reported statistics Uncertainty Standard error: ±3.78 pp standardError 0.03775251680686369 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) Source epoch ai Original model label gpt-5.6-luna Source version Mystery Game Puzzles Evaluated 2026-08-27T18:18:35.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `f66941ed5e9520190b66af57d2b6fd62a9582077dd25ab8764ce651bc0eca00a` Source locator `/rows/59` |  |  |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 66.67% | SE ±7.11 pp | 77 / 124 | — | — | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.6666666666666666 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.6666666666666666 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort low sourceModelVersion gpt-5.6-luna_low ### Reported statistics Uncertainty Standard error: ±7.11 pp standardError 0.07106690545187014 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label gpt-5.6-luna Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-07T00:02:15.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/109` |  |  |  |  |  |  |  |
| [FrontierCode 1.1 main](https://benchize.com/benchmarks/frontiercode%3Av1_1%3Amain.md) | 15.38% | — | 121 / 125 | $0.06 | — | [frontiercode](https://cognition.com/data/frontiercode-leaderboard/data.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.1538 \| score_fraction \| blocking_criteria_adjusted \| Higher is better \| \| `correct` \| 0.1733 \| score_fraction \| raw_rubric \| Higher is better \| \| `cost` \| 0.0594 \| USD \| per_rollout \| Lower is better \| ### Configuration harness codex Reasoning effort low sourceVersion v1_1 subset main ### Reported statistics flaggedRate 0 sampleSize 100 ### Source [Original source](https://cognition.com/data/frontiercode-leaderboard/data.json) Source frontiercode Original model label GPT-5.6 Luna Observed 2026-10-22T05:40:03.220Z Evidence SHA-256 `ff0040778b7bdf69c705ad7474f771fb5e53cfaf5cf8573b3a4614153543d75f` Source locator `/v1_1/data/GPT-5.6%20Luna/low/main` |  |  |  |  |  |  |  |
| [ARC-AGI-3](https://benchize.com/benchmarks/arc-prize%3Av3_Semi_Private.md) | 0.17% | — | 55 / 65 | 2,307.49usd | — | [arc prize · v3](https://arcprize.org/media/data/leaderboard/v3.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0017 \| score_fraction \| v3_Semi_Private \| Higher is better \| \| `total_cost` \| 2307.49 \| usd \| v3_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v3_Semi_Private harness standard modelGroup openai-gpt-5-6-luna modelType CoT Reasoning effort low sourceModelVersion openai-gpt-5-6-luna-low thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v3.json) Source arc prize Original model label GPT-5.6 Luna (Low) Source version v3 Observed 2026-10-22T05:20:04.578Z Evidence SHA-256 `3ce335487296bb2dcf4ba9546c5a2a02b1907db5b08887cd9ff4429fed824916` Source locator `/evaluations/17` |  |  |  |  |  |  |  |
| [FrontierCode 1.1 extended](https://benchize.com/benchmarks/frontiercode%3Av1_1%3Aextended.md) | 29.02% | — | 122 / 125 | $0.06 | — | [frontiercode](https://cognition.com/data/frontiercode-leaderboard/data.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.2902 \| score_fraction \| blocking_criteria_adjusted \| Higher is better \| \| `correct` \| 0.3222 \| score_fraction \| raw_rubric \| Higher is better \| \| `cost` \| 0.0584 \| USD \| per_rollout \| Lower is better \| ### Configuration harness codex Reasoning effort low sourceVersion v1_1 subset extended ### Reported statistics flaggedRate 0 sampleSize 150 ### Source [Original source](https://cognition.com/data/frontiercode-leaderboard/data.json) Source frontiercode Original model label GPT-5.6 Luna Observed 2026-10-22T05:40:03.220Z Evidence SHA-256 `ff0040778b7bdf69c705ad7474f771fb5e53cfaf5cf8573b3a4614153543d75f` Source locator `/v1_1/data/GPT-5.6%20Luna/low/extended` |  |  |  |  |  |  |  |
| [FrontierMath Tiers 1–3 v2 (private)](https://benchize.com/benchmarks/epoch-ai%3Afrontiermath_tiers_1_3_v2.md) | 41.4% | SE ±2.92 pp | 31 / 50 | — | — | [epoch ai · FrontierMath-Tiers-1-3-v2-Private](https://epoch.ai/data/benchmark_data.zip#file=frontiermath_tiers_1_3_v2.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.41403508771929826 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.41403508771929826 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion FrontierMath-Tiers-1-3-v2-Private reasoningBudget Not reported Reasoning effort low sourceModelVersion gpt-5.6-luna_low ### Reported statistics Uncertainty Standard error: ±2.92 pp standardError 0.029227738239445765 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=frontiermath_tiers_1_3_v2.csv) Source epoch ai Original model label gpt-5.6-luna Source version FrontierMath-Tiers-1-3-v2-Private Evaluated 2026-08-29T11:07:20.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `d3458d4272f99e04212525904a59fffffa7a94e827c62b26e36e3fd3e15fe587` Source locator `/rows/30` |  |  |  |  |  |  |  |
| [AutomationBench](https://benchize.com/benchmarks/zapier%3Aautomationbench.md) | 1.83% | — | 100 / 113 | $0.01 | — | [zapier](https://framerusercontent.com/sites/4WTSl4BNjd1q9QFEFibC6h/lOvLnhItj8S8-1vyjH_s33Jn-WmUXPmiJ5Diajl0Q38.CMutaHYl.mjs) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 1.83 \| percent \| reported \| Higher is better \| \| `cost` \| 0.01 \| USD \| per_task \| Lower is better \| ### Configuration benchmarkVersion 1.0.6 costFootnote false Fallback policy Not reported Reasoning effort low Model configuration GPT-5.6 Luna (Low) thinkingEnabled true ### Reported statistics rank 113 ### Source [Original source](https://framerusercontent.com/sites/4WTSl4BNjd1q9QFEFibC6h/lOvLnhItj8S8-1vyjH_s33Jn-WmUXPmiJ5Diajl0Q38.CMutaHYl.mjs) Source zapier Original model label GPT-5.6 Luna (Low) Observed 2026-10-21T16:34:56.783Z Evidence SHA-256 `43978e38f018789fa59c11de5328abe9e5905bfa9a5a4d601fa3aa4d9c153b0d` Source locator `/rows/112` |  |  |  |  |  |  |  |
| [Chess Puzzles](https://benchize.com/benchmarks/epoch-ai%3Achess_puzzles.md) | 17% | SE ±3.78 pp | 51 / 64 | — | — | [epoch ai · Chess Puzzles](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.17 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.17 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Chess Puzzles reasoningBudget Not reported Reasoning effort low sourceModelVersion gpt-5.6-luna_low ### Reported statistics Uncertainty Standard error: ±3.78 pp standardError 0.03775251680686369 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) Source epoch ai Original model label gpt-5.6-luna Source version Chess Puzzles Evaluated 2026-10-13T13:53:37.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `a5b99d6d35252907b04e9a802873a9754ecc0248be92a1ebbd2ef0450e4bb015` Source locator `/rows/72` |  |  |  |  |  |  |  |
| [DeepSWE](https://benchize.com/benchmarks/deepswe%3Av1.1.md) | 1.55% | Range 0.72–2.38% | 70 / 70 | $0.07 | 77.15s | [deepswe](https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_at_1` \| 0.015486725663716814 \| score_fraction \| scored_rollout_attempts \| Higher is better \| \| `pass_at_4` \| 0.04424778761061947 \| score_fraction \| tasks_with_one_passing_rollout \| Higher is better \| \| `cost_per_attempt` \| 0.07240623938053097 \| USD \| scored_attempt \| Lower is better \| \| `duration` \| 77.14656007522123 \| seconds \| scored_attempt \| Lower is better \| ### Configuration harness mini-swe-agent Reasoning effort low sourceConfiguration mini_swe_agent_gpt_5_6_luna_low ### Reported statistics Uncertainty Reported interval: 0.72–2.38% interval [0.0071835281016603,0.023789923225773328] intervalMethod 95% run-to-run: SE across repeated whole-benchmark passes (1.96 * std(runs)/sqrt(R)) runCount 4 sampleSize 452 taskCount 113 ### Source [Original source](https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json) Source deepswe Original model label gpt-5-6-luna Observed 2026-10-22T03:50:05.889Z Evidence SHA-256 `a7c15d66288fd249c020b9931c017b92d1a3b90e480b3ff34974b752bd030019` Source locator `/rows/69` |  |  |  |  |  |  |  |
| [ARC-AGI-1](https://benchize.com/benchmarks/arc-prize%3Av1_Semi_Private.md) | 34.17% | — | 189 / 245 | 0.04usd per task | — | [arc prize · v1](https://arcprize.org/media/data/leaderboard/v1.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.3417 \| score_fraction \| v1_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.04 \| usd_per_task \| v1_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v1_Semi_Private harness Not reported modelGroup openai-gpt-5-6-luna modelType CoT Reasoning effort low sourceModelVersion openai-gpt-5-6-luna-low thinkingEnabled true ### Source [Original source](https://arcprize.org/media/data/leaderboard/v1.json) Source arc prize Original model label GPT-5.6 Luna (Low) Source version v1 Observed 2026-10-22T05:20:04.066Z Evidence SHA-256 `2bf68d22dafba37047d07ad833ebc0e8199c9aa2f9eeaed50c75c1b704462836` Source locator `/evaluations/164` |  |  |  |  |  |  |  |

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Cite as: GPT-5.6 LunaLow — Benchize, https://benchize.com/models/gpt-5-6-luna-low (retrieved 2026-10-22)