# GLM-4.5V vs Inkling-Small

> Inkling-Small is the stronger model overall, scoring 46.5 to 39.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-inkling-small
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Inkling-Small in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling-Small leads 39.0 to 26.5.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Inkling-Small accepts more context: 524K tokens versus 64K.

## Snapshot

| | GLM-4.5V | Inkling-Small |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 39.2 | 46.5 |
| Rank | 158 | 57 |
| Context | 64K | 524K |
| Input $/M | $0.60 | $0.45 |
| Output $/M | $1.80 | $1.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 38.9 (#152)
- Inkling-Small: 43.3 (#80)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Coding | 1347 | 1451 |
| LMArena WebDev | — | 1408 |
| SciCode | — | 48.7% |

## Reasoning

- GLM-4.5V: 26.5 (#118)
- Inkling-Small: 39.0 (#53)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1424 |
| ARC-AGI-2 | — | 40.1% |
| Kagi LLM Benchmark | 59.8% | — |
| ARC-AGI-1 | — | 84% |
| CritPt | — | 8.3% |
| Chess Puzzles | — | 18% |
| Mystery Game Puzzles | — | 6% |
| Epoch Capabilities Index | — | 150.13 |

## Math

- GLM-4.5V: 34.7 (#157)
- Inkling-Small: 44.9 (#65)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Math | 1353 | 1453 |
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 90% |
| ProofBench | — | 6% |

## Knowledge

- GLM-4.5V: 36.8 (#155)
- Inkling-Small: 48.3 (#71)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Expert | 1353 | 1442 |
| GPQA Diamond | — | 88.5% |
| SimpleQA Verified | — | 19.1% |

## Multimodal

- GLM-4.5V: 33.6 (#86)
- Inkling-Small: 38.4 (#59)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Vision | 1154 | 1235 |

## Multilingual

- GLM-4.5V: 44.9 (#172)
- Inkling-Small: 51.7 (#102)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1304 | 1400 |
| LMArena Chinese | 1338 | 1458 |
| LMArena Russian | 1299 | 1392 |
| LMArena Spanish | 1335 | 1426 |
| LMArena French | — | 1438 |
| LMArena German | — | 1412 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1355 |

## Instruction Following

- GLM-4.5V: 69.4 (#170)
- Inkling-Small: 73.9 (#112)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1311 | 1397 |

## Long Context

- GLM-4.5V: 39.6 (#166)
- Inkling-Small: 42.7 (#113)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1305 | 1401 |

## Writing & Preference

- GLM-4.5V: 52.7 (#162)
- Inkling-Small: 59.8 (#102)

| Benchmark | GLM-4.5V | Inkling-Small |
|---|---|---|
| LMArena Text | 1333 | 1413 |
| LMArena Creative Writing | 1295 | 1330 |
| LMArena Multi-Turn | 1333 | 1420 |
| EQ-Bench Creative Writing | — | 1491 |

## FAQ

### Is GLM-4.5V better than Inkling-Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 39.2 on the Noometry Index.

### Which is cheaper, GLM-4.5V or Inkling-Small?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or Inkling-Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.3 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

Inkling-Small does, with 524K tokens against 64K.

### How many benchmarks do GLM-4.5V and Inkling-Small share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Inkling-Small has 33.