# GPT-6 Sol vs o1

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 40.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-o1
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and o1 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 27.5.
- GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $15 / $60 for o1.
- GPT-6 Sol accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | GPT-6 Sol | o1 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 49.2 | 40.6 |
| Rank | 46 | 140 |
| Context | 1.05M | 200K |
| Input $/M | $2 | $15 |
| Output $/M | $10 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-6 Sol: 59.6 (#11)
- o1: 45.7 (#64)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Coding | 1453 | 1367 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1692 | — |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- o1: 24.3 (#111)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| Cybench | — | 10% |
| GDP.pdf | 28% | — |
| METR Time Horizons | — | 51.1% |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- o1: 27.5 (#103)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1372 |
| SimpleBench | — | 41.7% |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| EBR-Bench | 53.3% | — |
| LiveBench Reasoning | — | 91.6% |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| Epoch Capabilities Index | — | 141.92 |
| LiveBench | — | 75.7% |

## Math

- GPT-6 Sol: 35.8 (#135)
- o1: 34.9 (#150)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Math | 1404 | 1388 |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- o1: 41.5 (#101)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Expert | 1449 | 1362 |
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| Vectara Hallucination Rate | 6.5% | — |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- o1: 33.6 (#87)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| Furniture Assembly | 58.3% | — |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- o1: 48.8 (#137)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Non-English | 1389 | 1359 |
| LMArena Chinese | 1416 | 1394 |
| LMArena Russian | 1407 | 1356 |
| LMArena Spanish | 1377 | 1345 |
| LMArena French | — | 1343 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- o1: 75.0 (#82)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1368 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- o1: 50.3 (#9)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Longer Query | 1415 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- o1: 55.8 (#139)

| Benchmark | GPT-6 Sol | o1 |
|---|---|---|
| LMArena Text | 1396 | 1366 |
| LMArena Creative Writing | 1392 | 1347 |
| LMArena Multi-Turn | 1405 | 1368 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 2125 | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is GPT-6 Sol better than o1?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 40.6 on the Noometry Index.

### Which is cheaper, GPT-6 Sol or o1?

GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; o1 lists at $15 and $60.

### Is GPT-6 Sol or o1 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 45.7 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 200K.

### How many benchmarks do GPT-6 Sol and o1 share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and o1 has 52.