# Inkling vs Qwen3 32B

> Inkling is the stronger model overall, scoring 44.1 to 39.2 on the Noometry Index. Qwen3 32B costs 2.1× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/inkling-vs-qwen3-32b
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Inkling scores higher in 6 categories and Qwen3 32B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.4 to 20.2.
- The biggest single-benchmark swing is GPQA Diamond: 88.3% for Inkling and 65.7% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Qwen3 32B accepts more context: 131K tokens versus 66K.

## Snapshot

| | Inkling | Qwen3 32B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 39.2 |
| Rank | 80 | 172 |
| Context | 66K | 131K |
| Input $/M | $1.87 | $0.70 |
| Output $/M | $4.68 | $2.80 |
| Weights | Open | Open |

## Coding

- Inkling: 34.5 (#234)
- Qwen3 32B: 37.7 (#190)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| SciCode | 47% | 35.4% |
| LMArena Coding | 1464 | 1358 |
| FrontierCode | 14% | — |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| WeirdML | 32.3% | — |
| ALE-Bench | 946 | — |

## Agentic & Tool Use

- Inkling: 29.6 (#85)
- Qwen3 32B: 32.6 (#62)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 48.7% |
| τ²-bench Banking | 25% | — |

## Reasoning

- Inkling: 40.4 (#56)
- Qwen3 32B: 20.2 (#241)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| CritPt | 5.4% | 0.3% |
| Chess Puzzles | 21% | 5% |
| LMArena Hard Prompts | 1451 | 1334 |
| DTBench | 87.5% | 67.5% |
| LMCA | 37.6% | 17.3% |
| Epoch Capabilities Index | 148.54 | 138.51 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| Kagi LLM Benchmark | — | 54.9% |
| ARC-AGI-1 | 79.5% | — |

## Math

- Inkling: 31.3 (#225)
- Qwen3 32B: 39.7 (#99)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 66.9% |
| LMArena Math | 1479 | 1399 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |

## Knowledge

- Inkling: 55.1 (#49)
- Qwen3 32B: 40.0 (#125)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 88.3% | 65.7% |
| LMArena Expert | 1465 | 1362 |
| SimpleQA Verified | 40.3% | — |
| Vectara Hallucination Rate | — | 5.9% |

## Multilingual

- Inkling: 54.0 (#52)
- Qwen3 32B: 45.6 (#167)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1434 | 1317 |
| LMArena Chinese | 1490 | 1357 |
| LMArena German | 1446 | 1341 |
| LMArena Russian | 1429 | 1311 |
| LMArena French | 1458 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- Inkling: 75.1 (#71)
- Qwen3 32B: 68.9 (#179)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1305 |

## Long Context

- Inkling: 43.8 (#86)
- Qwen3 32B: 43.8 (#87)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1434 | 1327 |
| Fiction.LiveBench | — | 74.2% |

## Writing & Preference

- Inkling: 65.2 (#51)
- Qwen3 32B: 52.9 (#163)

| Benchmark | Inkling | Qwen3 32B |
|---|---|---|
| LMArena Text | 1441 | 1340 |
| LMArena Creative Writing | 1387 | 1297 |
| LMArena Multi-Turn | 1436 | 1331 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |

## FAQ

### Is Inkling better than Qwen3 32B?

Inkling is the stronger model overall, scoring 44.1 to 39.2 on the Noometry Index. Qwen3 32B costs 2.1× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

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

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Inkling lists at $1.87 and $4.68.

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

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 32B does, with 131K tokens against 66K.

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

21 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3 32B has 26.