# Inkling vs QwQ-32B

> Inkling is the stronger model overall, scoring 44.1 to 39.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-vs-qwq-32b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Inkling scores higher in 5 categories and QwQ-32B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.2 to 37.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 59.2% for QwQ-32B.

## Snapshot

| | Inkling | QwQ-32B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 39.4 |
| Rank | 75 | 153 |
| Context | 66K | — |
| Input $/M | $1.87 | — |
| Output $/M | $4.68 | — |
| Weights | Open | Open |

## Coding

- Inkling: 34.1 (#229)
- QwQ-32B: 34.9 (#220)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| LMArena Coding | 1463 | 1333 |
| FrontierCode | 14% | — |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1412 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.5 (#76)
- QwQ-32B: —

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |

## Reasoning

- Inkling: 40.6 (#48)
- QwQ-32B: 22.9 (#171)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| Chess Puzzles | 21% | 5% |
| LMArena Hard Prompts | 1452 | 1326 |
| Epoch Capabilities Index | 148.6 | 137.6 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 87.5% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 37.6% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |

## Math

- Inkling: 31.2 (#198)
- QwQ-32B: 36.2 (#123)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 59.2% |
| LMArena Math | 1482 | 1359 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LiveBench Math | — | 77.8% |

## Knowledge

- Inkling: 55.2 (#44)
- QwQ-32B: 37.2 (#150)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| GPQA Diamond | 88.3% | 65.3% |
| LMArena Expert | 1468 | 1323 |
| SimpleQA Verified | 40.3% | — |
| Confabulations | — | 15.6% |

## Multilingual

- Inkling: 54.2 (#49)
- QwQ-32B: 45.0 (#171)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1434 | 1306 |
| LMArena Chinese | 1495 | 1378 |
| LMArena French | 1453 | 1337 |
| LMArena German | 1456 | 1313 |
| LMArena Japanese | 1428 | 1263 |
| LMArena Korean | 1401 | 1278 |
| LMArena Russian | 1430 | 1297 |
| LMArena Spanish | 1442 | 1353 |

## Instruction Following

- Inkling: 75.3 (#65)
- QwQ-32B: 72.8 (#131)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1427 | 1297 |
| LiveBench Instruction Following | — | 81.8% |

## Long Context

- Inkling: 43.9 (#79)
- QwQ-32B: 49.0 (#11)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1436 | 1308 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Inkling: 65.5 (#48)
- QwQ-32B: 50.9 (#175)

| Benchmark | Inkling | QwQ-32B |
|---|---|---|
| LMArena Text | 1443 | 1329 |
| LMArena Creative Writing | 1390 | 1288 |
| EQ-Bench Creative Writing | 1611 | 1257 |
| LMArena Multi-Turn | 1436 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench 4 | 1226 | — |
| LiveBench Language | — | 51.4% |

## FAQ

### Is Inkling better than QwQ-32B?

Inkling is the stronger model overall, scoring 44.1 to 39.4 on the Noometry Index.

### Is Inkling or QwQ-32B better for coding?

They score almost the same on coding (34.1 vs 34.9); test both on your own repository before choosing.

### How many benchmarks do Inkling and QwQ-32B share?

22 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and QwQ-32B has 36.