# GPT-5.6 Luna vs o1-pro

> GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-6-luna-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.6 Luna scores higher in 2 categories and o1-pro in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.6 Luna leads 58.5 to 29.7.
- The biggest single-benchmark swing is ARC-AGI-1: 88% for GPT-5.6 Luna and 23.3% for o1-pro.
- GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $150 / $600 for o1-pro.
- GPT-5.6 Luna accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | GPT-5.6 Luna | o1-pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 54.6 | 31.5 |
| Rank | 30 | 271 |
| Context | 1.05M | 200K |
| Input $/M | $0.20 | $150 |
| Output $/M | $1.20 | $600 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.6 Luna: 54.5 (#28)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| DeepSWE | 67.2% | — |
| FrontierCode | 39.8% | — |
| CursorBench | 35.9% | — |
| LMArena WebDev | 1519 | — |
| SciCode | 53.6% | — |
| WeirdML | 60.9% | — |
| LMArena Coding | 1466 | — |
| ALE-Bench | 1,667 | — |

## Agentic & Tool Use

- GPT-5.6 Luna: 34.4 (#45)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| APEX-Agents | 43% | — |
| BALROG | 45.6% | — |
| GDP.pdf | 22.7% | — |
| Vending-Bench 2 | 4,095 | — |

## Reasoning

- GPT-5.6 Luna: 47.6 (#43)
- o1-pro: 20.4 (#239)

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| ARC-AGI-1 | 88% | 23.3% |
| ARC-AGI-2 | 59.5% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 49.1% | — |
| NYT Connections (extended) | 69.4% | — |
| CritPt | 20.6% | — |
| Chess Puzzles | 40% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1451 | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 89.1% | — |
| LMCA | 48.5% | — |
| Surface Evolver Bench | 61.9% | — |
| Epoch Capabilities Index | 156.39 | — |

## Math

- GPT-5.6 Luna: 77.7 (#14)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 82.1% | — |
| FrontierMath Tier 4 | 61% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 60% | — |
| LMArena Math | 1458 | — |

## Knowledge

- GPT-5.6 Luna: 58.5 (#34)
- o1-pro: 29.7 (#234)

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| GPQA Diamond | 91.6% | — |
| Humanity's Last Exam | — | 8.1% |
| SimpleQA Verified | 41% | — |
| LMArena Expert | 1478 | — |

## Multimodal

- GPT-5.6 Luna: 42.7 (#28)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| LMArena Vision | 1258 | — |
| Blueprint-Bench 2 | 22.6% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1457 | — |

## Multilingual

- GPT-5.6 Luna: 52.8 (#78)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1456 | — |
| LMArena German | 1454 | — |
| LMArena Japanese | 1411 | — |
| LMArena Korean | 1415 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- GPT-5.6 Luna: 75.6 (#57)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1437 | — |

## Long Context

- GPT-5.6 Luna: 43.9 (#82)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| LMArena Longer Query | 1436 | — |

## Writing & Preference

- GPT-5.6 Luna: 68.0 (#29)
- o1-pro: —

| Benchmark | GPT-5.6 Luna | o1-pro |
|---|---|---|
| LMArena Text | 1431 | — |
| LMArena Creative Writing | 1396 | — |
| EQ-Bench Creative Writing | 1829 | — |
| EQ-Bench 4 | 1156 | — |
| LMArena Multi-Turn | 1434 | — |

## FAQ

### Is GPT-5.6 Luna better than o1-pro?

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 31.5 on the Noometry Index.

### Which is cheaper, GPT-5.6 Luna or o1-pro?

GPT-5.6 Luna is cheaper. It lists at $0.20 per million input tokens and $1.20 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

GPT-5.6 Luna does, with 1.05M tokens against 200K.

### How many benchmarks do GPT-5.6 Luna and o1-pro share?

1 benchmark has published results for both models. GPT-5.6 Luna has 52 scored results on Noometry and o1-pro has 3.