# GLM-5V-Turbo vs Inkling

> GLM-5V-Turbo and Inkling score almost the same on the Noometry Index (43.8 vs 44.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-5v-turbo-vs-inkling
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 3 categories and Inkling in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 40.6.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- GLM-5V-Turbo accepts more context: 200K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5V-Turbo | Inkling |
|---|---|---|
| Provider | Z.ai (Zhipu) | Thinking Machines Lab |
| Noometry Index | 43.8 | 44.1 |
| Rank | 84 | 80 |
| Context | 200K | 66K |
| Input $/M | $1.20 | $1.87 |
| Output $/M | $4 | $4.68 |
| Weights | Proprietary | Open |

## Coding

- GLM-5V-Turbo: 42.1 (#111)
- Inkling: 34.5 (#234)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena WebDev | 1401 | 1413 |
| LMArena Coding | 1466 | 1464 |
| FrontierCode | — | 14% |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| WeirdML | — | 32.3% |
| ALE-Bench | — | 946 |

## Agentic & Tool Use

- GLM-5V-Turbo: —
- Inkling: 29.6 (#85)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |

## Reasoning

- GLM-5V-Turbo: 29.7 (#89)
- Inkling: 40.4 (#56)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1451 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| Chess Puzzles | — | 21% |
| DTBench | — | 87.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 148.54 |

## Math

- GLM-5V-Turbo: 39.4 (#106)
- Inkling: 31.3 (#225)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Math | 1441 | 1479 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 0% |

## Knowledge

- GLM-5V-Turbo: 40.6 (#117)
- Inkling: 55.1 (#49)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Expert | 1452 | 1465 |
| GPQA Diamond | — | 88.3% |
| SimpleQA Verified | — | 40.3% |

## Multimodal

- GLM-5V-Turbo: 40.9 (#42)
- Inkling: —

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |

## Multilingual

- GLM-5V-Turbo: 53.0 (#73)
- Inkling: 54.0 (#52)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Non-English | 1420 | 1434 |
| LMArena Chinese | 1488 | 1490 |
| LMArena French | 1444 | 1458 |
| LMArena German | 1423 | 1446 |
| LMArena Korean | 1396 | 1404 |
| LMArena Russian | 1431 | 1429 |
| LMArena Spanish | 1450 | 1448 |
| LMArena Japanese | — | 1429 |

## Instruction Following

- GLM-5V-Turbo: 75.0 (#80)
- Inkling: 75.1 (#71)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Instruction Following | 1423 | 1426 |

## Long Context

- GLM-5V-Turbo: 44.0 (#80)
- Inkling: 43.8 (#86)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Longer Query | 1438 | 1434 |

## Writing & Preference

- GLM-5V-Turbo: 62.5 (#73)
- Inkling: 65.2 (#51)

| Benchmark | GLM-5V-Turbo | Inkling |
|---|---|---|
| LMArena Text | 1437 | 1441 |
| LMArena Creative Writing | 1416 | 1387 |
| LMArena Multi-Turn | 1432 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| EQ-Bench 4 | — | 1226 |

## FAQ

### Is GLM-5V-Turbo better than Inkling?

GLM-5V-Turbo and Inkling score almost the same on the Noometry Index (43.8 vs 44.1), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-5V-Turbo or Inkling?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Inkling lists at $1.87 and $4.68.

### Is GLM-5V-Turbo or Inkling better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 66K.

### How many benchmarks do GLM-5V-Turbo and Inkling share?

17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Inkling has 41.