# GPT-6 Sol vs Inkling

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 44.1 on the Noometry Index. Inkling costs 1.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-inkling
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and Inkling in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Sol leads 59.6 to 34.1.
- The biggest single-benchmark swing is FrontierCode: 49.3% for GPT-6 Sol and 14% for Inkling.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Inkling |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 49.2 | 44.1 |
| Rank | 46 | 75 |
| Context | 1.05M | 66K |
| Input $/M | $2 | $1.87 |
| Output $/M | $10 | $4.68 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Inkling: 34.1 (#229)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| FrontierCode | 49.3% | 14% |
| LMArena WebDev | 1692 | 1412 |
| LMArena Coding | 1453 | 1463 |
| DeepSWE | 68.8% | — |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| WeirdML | — | 32.3% |
| ALE-Bench | — | 946 |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Inkling: 29.5 (#76)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Inkling: 40.6 (#48)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1452 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| Chess Puzzles | — | 21% |
| EBR-Bench | 53.3% | — |
| DTBench | — | 87.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 148.6 |

## Math

- GPT-6 Sol: 35.8 (#135)
- Inkling: 31.2 (#198)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Math | 1404 | 1482 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 0% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Inkling: 55.2 (#44)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Expert | 1449 | 1468 |
| GPQA Diamond | — | 88.3% |
| SimpleQA Verified | — | 40.3% |
| Vectara Hallucination Rate | 6.5% | — |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Inkling: —

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Inkling: 54.2 (#49)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Non-English | 1389 | 1434 |
| LMArena Chinese | 1416 | 1495 |
| LMArena Russian | 1407 | 1430 |
| LMArena Spanish | 1377 | 1442 |
| LMArena French | — | 1453 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1428 |
| LMArena Korean | — | 1401 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Inkling: 75.3 (#65)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Instruction Following | 1406 | 1427 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Inkling: 43.9 (#79)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Longer Query | 1415 | 1436 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Inkling: 65.5 (#48)

| Benchmark | GPT-6 Sol | Inkling |
|---|---|---|
| LMArena Text | 1396 | 1443 |
| LMArena Creative Writing | 1392 | 1390 |
| EQ-Bench Creative Writing | 2125 | 1611 |
| LMArena Multi-Turn | 1405 | 1436 |
| EQ-Bench 4 | — | 1226 |

## FAQ

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

GPT-6 Sol is the stronger model overall, scoring 49.2 to 44.1 on the Noometry Index. Inkling costs 1.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

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

Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; GPT-6 Sol lists at $2 and $10.

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

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 66K.

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

16 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Inkling has 41.