# Inkling-Small vs Qwen2.5-Coder-32B

> Inkling-Small is the stronger model overall, scoring 46.5 to 33.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/inkling-small-vs-qwen2-5-coder-32b
- Last updated: 2026-10-11
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Inkling-Small scores higher in 8 categories and Qwen2.5-Coder-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Inkling-Small leads 43.6 to 22.6.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- Inkling-Small accepts more context: 524K tokens versus 33K.

## Snapshot

| | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 46.5 | 33.4 |
| Rank | 63 | 245 |
| Context | 524K | 33K |
| Input $/M | $0.45 | $0.66 |
| Output $/M | $1.20 | $1 |
| Weights | Open | Open |

## Coding

- Inkling-Small: 43.6 (#85)
- Qwen2.5-Coder-32B: 22.6 (#333)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1451 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1409 | — |
| SciCode | 48.7% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- Inkling-Small: 38.6 (#63)
- Qwen2.5-Coder-32B: 21.2 (#225)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1423 | 1251 |
| Epoch Capabilities Index | 150.15 | 119.49 |
| ARC-AGI-2 | 40.1% | — |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| Chess Puzzles | 18% | — |
| LiveBench Reasoning | — | 42.1% |
| Mystery Game Puzzles | 6% | — |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Inkling-Small: 45.1 (#77)
- Qwen2.5-Coder-32B: 33.3 (#204)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1459 | 1251 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 90% | — |
| ProofBench | 6% | — |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |

## Knowledge

- Inkling-Small: 48.2 (#77)
- Qwen2.5-Coder-32B: 33.4 (#203)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1442 | 1221 |
| GPQA Diamond | 88.5% | — |
| SimpleQA Verified | 19.1% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multimodal

- Inkling-Small: 39.1 (#62)
- Qwen2.5-Coder-32B: —

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1235 | — |

## Multilingual

- Inkling-Small: 51.7 (#104)
- Qwen2.5-Coder-32B: 37.8 (#235)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1402 | 1205 |
| LMArena Chinese | 1465 | 1222 |
| LMArena Russian | 1391 | 1228 |
| LMArena French | 1436 | — |
| LMArena German | 1405 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1363 | — |
| LMArena Spanish | 1428 | — |

## Instruction Following

- Inkling-Small: 73.8 (#114)
- Qwen2.5-Coder-32B: 61.4 (#245)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1399 | 1223 |
| LiveBench Instruction Following | — | 58.7% |

## Long Context

- Inkling-Small: 42.7 (#118)
- Qwen2.5-Coder-32B: 38.0 (#208)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1401 | 1251 |

## Writing & Preference

- Inkling-Small: 59.6 (#107)
- Qwen2.5-Coder-32B: 41.6 (#240)

| Benchmark | Inkling-Small | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1414 | 1230 |
| LMArena Creative Writing | 1331 | 1174 |
| LMArena Multi-Turn | 1418 | 1222 |
| EQ-Bench Creative Writing | 1491 | — |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Inkling-Small better than Qwen2.5-Coder-32B?

Inkling-Small is the stronger model overall, scoring 46.5 to 33.4 on the Noometry Index.

### Which is cheaper, Inkling-Small or Qwen2.5-Coder-32B?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

### Is Inkling-Small or Qwen2.5-Coder-32B better for coding?

Inkling-Small scores higher on coding benchmarks: 43.6 versus 22.6 in the Noometry coding category.

### Which has the bigger context window?

Inkling-Small does, with 524K tokens against 33K.

### How many benchmarks do Inkling-Small and Qwen2.5-Coder-32B share?

13 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Qwen2.5-Coder-32B has 31.
