# GLM-5.3-Flash vs Muse Spark 1.2

> GLM-5.3-Flash and Muse Spark 1.2 score almost the same on the Noometry Index (49.6 vs 49.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 5 categories and Muse Spark 1.2 in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 31.7.
- The biggest single-benchmark swing is ProofBench: 21% for GLM-5.3-Flash and 43% for Muse Spark 1.2.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 1M.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 49.6 | 49.8 |
| Rank | 45 | 44 |
| Context | 1M | 1.05M |
| Input $/M | $0.15 | $1.25 |
| Output $/M | $0.50 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| DeepSWE | 63.4% | 54.9% |
| LMArena WebDev | 1614 | 1532 |
| SciCode | 51.6% | 56.4% |
| LMArena Coding | 1506 | 1497 |
| FrontierCode | 31.8% | — |
| FrontierSWE | — | 12% |
| WeirdML | — | 60.3% |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | 52.8% | 36.4% |
| GDP.pdf | 14% | 16% |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| CritPt | 15.4% | 17.7% |
| LMArena Hard Prompts | 1490 | 1490 |
| Epoch Capabilities Index | 151.9 | 155.18 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 21% | 43% |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| LMArena Math | 1499 | — |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1512 | 1485 |
| GPQA Diamond | 90.2% | — |
| SimpleQA Verified | — | 60.3% |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1304 | 1304 |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1462 | 1479 |
| LMArena Chinese | 1529 | 1519 |
| LMArena Russian | 1472 | 1494 |
| LMArena French | 1495 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1443 | — |
| LMArena Spanish | 1471 | — |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1480 | 1466 |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1479 | 1483 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | GLM-5.3-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1471 | 1486 |
| LMArena Creative Writing | 1440 | 1444 |
| LMArena Multi-Turn | 1471 | 1504 |
| EQ-Bench Creative Writing | — | 1840 |

## FAQ

### Is GLM-5.3-Flash better than Muse Spark 1.2?

GLM-5.3-Flash and Muse Spark 1.2 score almost the same on the Noometry Index (49.6 vs 49.8), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-5.3-Flash or Muse Spark 1.2?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is GLM-5.3-Flash or Muse Spark 1.2 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 48.6 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 1M.

### How many benchmarks do GLM-5.3-Flash and Muse Spark 1.2 share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Muse Spark 1.2 has 28.