# Inkling vs o1

> Inkling is the stronger model overall, scoring 44.1 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-o1
- Last updated: 2026-10-11
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Inkling scores higher in 6 categories and o1 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 41.5.
- The biggest single-benchmark swing is ARC-AGI-1: 79.5% for Inkling and 30.7% for o1.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $15 / $60 for o1.
- o1 accepts more context: 200K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | Inkling | o1 |
|---|---|---|
| Provider | Thinking Machines Lab | OpenAI |
| Noometry Index | 44.1 | 40.9 |
| Rank | 80 | 143 |
| Context | 66K | 200K |
| Input $/M | $1.87 | $15 |
| Output $/M | $4.68 | $60 |
| Weights | Open | Proprietary |

## Coding

- Inkling: 34.5 (#234)
- o1: 46.1 (#70)

| Benchmark | Inkling | o1 |
|---|---|---|
| WeirdML | 32.3% | 47.6% |
| LMArena Coding | 1464 | 1367 |
| FrontierCode | 14% | — |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| ALE-Bench | 946 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- Inkling: 29.6 (#85)
- o1: 24.6 (#117)

| Benchmark | Inkling | o1 |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |

## Reasoning

- Inkling: 40.4 (#56)
- o1: 27.9 (#111)

| Benchmark | Inkling | o1 |
|---|---|---|
| SimpleBench | 50% | 41.7% |
| ARC-AGI-1 | 79.5% | 30.7% |
| Chess Puzzles | 21% | 15% |
| LMArena Hard Prompts | 1451 | 1371 |
| DTBench | 87.5% | 74.7% |
| LMCA | 37.6% | 22.3% |
| Epoch Capabilities Index | 148.54 | 141.91 |
| ARC-AGI-2 | 36.5% | — |
| CritPt | 5.4% | — |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| LiveBench Data Analysis | — | 65.5% |
| LiveBench | — | 75.7% |

## Math

- Inkling: 31.3 (#225)
- o1: 36.1 (#175)

| Benchmark | Inkling | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | 14.7% |
| OTIS Mock AIME 2024-2025 | 88.9% | 73.3% |
| LMArena Math | 1479 | 1388 |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |

## Knowledge

- Inkling: 55.1 (#49)
- o1: 41.5 (#110)

| Benchmark | Inkling | o1 |
|---|---|---|
| GPQA Diamond | 88.3% | 76.8% |
| SimpleQA Verified | 40.3% | 41.1% |
| LMArena Expert | 1465 | 1361 |
| Humanity's Last Exam | — | 8% |
| Confabulations | — | 11.7% |

## Multimodal

- Inkling: —
- o1: 34.2 (#93)

| Benchmark | Inkling | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- Inkling: 54.0 (#52)
- o1: 48.6 (#142)

| Benchmark | Inkling | o1 |
|---|---|---|
| LMArena Non-English | 1434 | 1358 |
| LMArena Chinese | 1490 | 1394 |
| LMArena French | 1458 | 1344 |
| LMArena German | 1446 | 1337 |
| LMArena Japanese | 1429 | 1346 |
| LMArena Korean | 1404 | 1396 |
| LMArena Russian | 1429 | 1356 |
| LMArena Spanish | 1448 | 1345 |

## Instruction Following

- Inkling: 75.1 (#71)
- o1: 74.8 (#86)

| Benchmark | Inkling | o1 |
|---|---|---|
| LMArena Instruction Following | 1426 | 1367 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Inkling: 43.8 (#86)
- o1: 50.3 (#9)

| Benchmark | Inkling | o1 |
|---|---|---|
| LMArena Longer Query | 1434 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Inkling: 65.2 (#51)
- o1: 55.6 (#144)

| Benchmark | Inkling | o1 |
|---|---|---|
| LMArena Text | 1441 | 1366 |
| LMArena Creative Writing | 1387 | 1348 |
| LMArena Multi-Turn | 1436 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is Inkling better than o1?

Inkling is the stronger model overall, scoring 44.1 to 40.9 on the Noometry Index.

### Which is cheaper, Inkling or o1?

Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; o1 lists at $15 and $60.

### Is Inkling or o1 better for coding?

o1 scores higher on coding benchmarks: 46.1 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

o1 does, with 200K tokens against 66K.

### How many benchmarks do Inkling and o1 share?

28 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and o1 has 52.