# GPT-4o vs Inkling

> Inkling is the stronger model overall, scoring 44.1 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-vs-inkling
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. GPT-4o scores higher in 0 categories and Inkling in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.6 to 9.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.4% for GPT-4o and 88.9% for Inkling.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- GPT-4o accepts more context: 128K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o | Inkling |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 28.5 | 44.1 |
| Rank | 316 | 75 |
| Context | 128K | 66K |
| Input $/M | $2.50 | $1.87 |
| Output $/M | $10 | $4.68 |
| Weights | Proprietary | Open |

## Coding

- GPT-4o: 25.1 (#323)
- Inkling: 34.1 (#229)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| WeirdML | 25.1% | 32.3% |
| LMArena Coding | 1297 | 1463 |
| SWE-bench Verified | 31% | — |
| FrontierCode | — | 14% |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| LMArena WebDev | — | 1412 |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| GSO | 0% | — |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| ALE-Bench | — | 946 |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o: 20.8 (#133)
- Inkling: 29.5 (#76)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| τ²-bench Banking | — | 25% |
| Cybench | 12.5% | — |
| BALROG | 32.3% | — |
| LMArena Search | 1006 | — |
| METR Time Horizons | 40.8% | — |

## Reasoning

- GPT-4o: 9.4 (#338)
- Inkling: 40.6 (#48)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| ARC-AGI-2 | 0% | 36.5% |
| SimpleBench | 17.8% | 50% |
| ARC-AGI-1 | 4.5% | 79.5% |
| CritPt | 0% | 5.4% |
| Chess Puzzles | 13% | 21% |
| LMArena Hard Prompts | 1281 | 1452 |
| DTBench | 64.5% | 87.5% |
| LMCA | 16.6% | 37.6% |
| Epoch Capabilities Index | 128.97 | 148.6 |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 55.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| ForecastBench | 57.7 | — |
| LiveBench | 55.3% | — |

## Math

- GPT-4o: 10.2 (#303)
- Inkling: 31.2 (#198)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.4% | 33.3% |
| OTIS Mock AIME 2024-2025 | 6.4% | 88.9% |
| LMArena Math | 1285 | 1482 |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| MATH Level 5 | 53.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- GPT-4o: 28.8 (#235)
- Inkling: 55.2 (#44)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| GPQA Diamond | 49.2% | 88.3% |
| SimpleQA Verified | 26% | 40.3% |
| LMArena Expert | 1250 | 1468 |
| Humanity's Last Exam | 2.7% | — |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| Vectara Hallucination Rate | 9.6% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |

## Multimodal

- GPT-4o: 33.9 (#85)
- Inkling: —

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| LMArena Vision | 1137 | — |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| ScienceQA | 88.5% | — |

## Multilingual

- GPT-4o: 43.4 (#181)
- Inkling: 54.2 (#49)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| LMArena Non-English | 1283 | 1434 |
| LMArena Chinese | 1277 | 1495 |
| LMArena French | 1303 | 1453 |
| LMArena German | 1282 | 1456 |
| LMArena Japanese | 1257 | 1428 |
| LMArena Korean | 1234 | 1401 |
| LMArena Russian | 1286 | 1430 |
| LMArena Spanish | 1292 | 1442 |

## Instruction Following

- GPT-4o: 66.8 (#202)
- Inkling: 75.3 (#65)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| LMArena Instruction Following | 1278 | 1427 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |

## Long Context

- GPT-4o: 39.4 (#174)
- Inkling: 43.9 (#79)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| LMArena Longer Query | 1289 | 1436 |
| Fiction.LiveBench | 66.7% | — |

## Writing & Preference

- GPT-4o: 52.8 (#160)
- Inkling: 65.5 (#48)

| Benchmark | GPT-4o | Inkling |
|---|---|---|
| LMArena Text | 1300 | 1443 |
| LMArena Creative Writing | 1291 | 1390 |
| LMArena Multi-Turn | 1302 | 1436 |
| Short-Story Creative Writing | 81.8% | — |
| EQ-Bench Creative Writing | — | 1611 |
| WildBench | 82.8% | — |
| EQ-Bench 4 | — | 1226 |
| LiveBench Language | 47.6% | — |

## FAQ

### Is GPT-4o better than Inkling?

Inkling is the stronger model overall, scoring 44.1 to 28.5 on the Noometry Index.

### Which is cheaper, GPT-4o or Inkling?

Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; GPT-4o lists at $2.50 and $10.

### Is GPT-4o or Inkling better for coding?

Inkling scores higher on coding benchmarks: 34.1 versus 25.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-4o does, with 128K tokens against 66K.

### How many benchmarks do GPT-4o and Inkling share?

30 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Inkling has 41.