# GLM-4.6V vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.3 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 37.4.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6V | Muse Spark |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 40.9 | 50.3 |
| Rank | 133 | 41 |
| Context | 128K | — |
| Input $/M | $0.30 | — |
| Output $/M | $0.90 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6V: 40.2 (#128)
- Muse Spark: 45.6 (#65)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Coding | 1390 | 1482 |
| SciCode | — | 51.5% |

## Reasoning

- GLM-4.6V: 26.5 (#117)
- Muse Spark: 34.9 (#61)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1475 |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.09 |

## Math

- GLM-4.6V: —
- Muse Spark: 46.8 (#57)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| LMArena Math | — | 1455 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GLM-4.6V: 37.4 (#148)
- Muse Spark: 65.7 (#12)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Expert | 1372 | 1458 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |

## Multimodal

- GLM-4.6V: 34.2 (#83)
- Muse Spark: 42.7 (#23)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Vision | 1164 | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- GLM-4.6V: 48.8 (#135)
- Muse Spark: 56.3 (#23)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Non-English | 1359 | 1464 |
| LMArena Chinese | 1426 | 1507 |
| LMArena Russian | 1341 | 1467 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1457 |
| LMArena Spanish | — | 1471 |

## Instruction Following

- GLM-4.6V: 71.6 (#145)
- Muse Spark: 76.1 (#47)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1351 | 1443 |

## Long Context

- GLM-4.6V: 41.3 (#138)
- Muse Spark: 44.4 (#65)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1358 | 1451 |

## Writing & Preference

- GLM-4.6V: 56.8 (#132)
- Muse Spark: 66.2 (#37)

| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Text | 1377 | 1474 |
| LMArena Creative Writing | 1347 | 1460 |
| LMArena Multi-Turn | 1359 | 1477 |

## FAQ

### Is GLM-4.6V better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.3 to 40.9 on the Noometry Index.

### Is GLM-4.6V or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 40.2 in the Noometry coding category.

### How many benchmarks do GLM-4.6V and Muse Spark share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Muse Spark has 27.