# Inkling-Small vs Qwen3 32B

> Inkling-Small is the stronger model overall, scoring 46.5 to 38.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-small-vs-qwen3-32b
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Inkling-Small scores higher in 7 categories and Qwen3 32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling-Small leads 39.0 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 90% for Inkling-Small and 66.9% for Qwen3 32B.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Inkling-Small accepts more context: 524K tokens versus 131K.

## Snapshot

| | Inkling-Small | Qwen3 32B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 46.5 | 38.8 |
| Rank | 57 | 166 |
| Context | 524K | 131K |
| Input $/M | $0.45 | $0.70 |
| Output $/M | $1.20 | $2.80 |
| Weights | Open | Open |

## Coding

- Inkling-Small: 43.3 (#80)
- Qwen3 32B: 37.3 (#184)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| SciCode | 48.7% | 35.4% |
| LMArena Coding | 1451 | 1358 |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1408 | — |

## Agentic & Tool Use

- Inkling-Small: —
- Qwen3 32B: 32.3 (#58)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |

## Reasoning

- Inkling-Small: 39.0 (#53)
- Qwen3 32B: 19.6 (#233)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| CritPt | 8.3% | 0.3% |
| Chess Puzzles | 18% | 5% |
| LMArena Hard Prompts | 1424 | 1335 |
| Epoch Capabilities Index | 150.13 | 138.51 |
| ARC-AGI-2 | 40.1% | — |
| Kagi LLM Benchmark | — | 54.9% |
| ARC-AGI-1 | 84% | — |
| Mystery Game Puzzles | 6% | — |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |

## Math

- Inkling-Small: 44.9 (#65)
- Qwen3 32B: 37.9 (#89)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 90% | 66.9% |
| LMArena Math | 1453 | 1399 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 6% | — |

## Knowledge

- Inkling-Small: 48.3 (#71)
- Qwen3 32B: 40.0 (#112)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 88.5% | 65.7% |
| LMArena Expert | 1442 | 1362 |
| SimpleQA Verified | 19.1% | — |
| Vectara Hallucination Rate | — | 5.9% |

## Multimodal

- Inkling-Small: 38.4 (#59)
- Qwen3 32B: —

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1235 | — |

## Multilingual

- Inkling-Small: 51.7 (#102)
- Qwen3 32B: 45.8 (#162)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1400 | 1317 |
| LMArena Chinese | 1458 | 1357 |
| LMArena German | 1412 | 1341 |
| LMArena Russian | 1392 | 1311 |
| LMArena French | 1438 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1355 | — |
| LMArena Spanish | 1426 | — |

## Instruction Following

- Inkling-Small: 73.9 (#112)
- Qwen3 32B: 69.1 (#174)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1397 | 1305 |

## Long Context

- Inkling-Small: 42.7 (#113)
- Qwen3 32B: 43.7 (#83)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1401 | 1327 |
| Fiction.LiveBench | — | 74.2% |

## Writing & Preference

- Inkling-Small: 59.8 (#102)
- Qwen3 32B: 53.1 (#158)

| Benchmark | Inkling-Small | Qwen3 32B |
|---|---|---|
| LMArena Text | 1413 | 1340 |
| LMArena Creative Writing | 1330 | 1297 |
| LMArena Multi-Turn | 1420 | 1331 |
| EQ-Bench Creative Writing | 1491 | — |

## FAQ

### Is Inkling-Small better than Qwen3 32B?

Inkling-Small is the stronger model overall, scoring 46.5 to 38.8 on the Noometry Index.

### Which is cheaper, Inkling-Small or Qwen3 32B?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

### Is Inkling-Small or Qwen3 32B better for coding?

Inkling-Small scores higher on coding benchmarks: 43.3 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

Inkling-Small does, with 524K tokens against 131K.

### How many benchmarks do Inkling-Small and Qwen3 32B share?

19 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Qwen3 32B has 26.