# GLM-5.3-Flash vs Muse Spark

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 50.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 5 categories and Muse Spark in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 35.9.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 51.8 | 50.6 |
| Rank | 41 | 46 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3-Flash: 53.1 (#31)
- Muse Spark: 46.2 (#69)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| SciCode | 51.6% | 51.5% |
| LMArena Coding | 1508 | 1481 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.2 (#47)
- Muse Spark: —

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 48.0 (#42)
- Muse Spark: 35.9 (#67)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| CritPt | 15.4% | 11.3% |
| LMArena Hard Prompts | 1491 | 1474 |
| Epoch Capabilities Index | 151.88 | 152.04 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3-Flash: 53.3 (#47)
- Muse Spark: 47.8 (#66)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 88.9% |
| ProofBench | 21% | 17% |
| LMArena Math | 1500 | 1455 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#36)
- Muse Spark: 65.7 (#13)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| GPQA Diamond | 90.2% | 89.8% |
| LMArena Expert | 1513 | 1457 |
| Humanity's Last Exam | — | 40.6% |

## Multimodal

- GLM-5.3-Flash: 42.8 (#27)
- Muse Spark: 43.4 (#24)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| LMArena Vision | 1296 | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- GLM-5.3-Flash: 56.0 (#25)
- Muse Spark: 56.1 (#24)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| LMArena Non-English | 1462 | 1464 |
| LMArena Chinese | 1527 | 1509 |
| LMArena French | 1496 | 1497 |
| LMArena German | 1470 | 1497 |
| LMArena Korean | 1446 | 1459 |
| LMArena Russian | 1469 | 1466 |
| LMArena Spanish | 1471 | 1472 |
| LMArena Japanese | 1429 | — |

## Instruction Following

- GLM-5.3-Flash: 77.5 (#20)
- Muse Spark: 75.9 (#51)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1478 | 1442 |

## Long Context

- GLM-5.3-Flash: 45.4 (#39)
- Muse Spark: 44.4 (#69)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1482 | 1451 |

## Writing & Preference

- GLM-5.3-Flash: 65.3 (#50)
- Muse Spark: 66.0 (#39)

| Benchmark | GLM-5.3-Flash | Muse Spark |
|---|---|---|
| LMArena Text | 1471 | 1474 |
| LMArena Creative Writing | 1442 | 1459 |
| LMArena Multi-Turn | 1467 | 1477 |

## FAQ

### Is GLM-5.3-Flash better than Muse Spark?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 50.6 on the Noometry Index.

### Is GLM-5.3-Flash or Muse Spark better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 46.2 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Muse Spark share?

23 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Muse Spark has 27.