# GLM-5.2 vs Muse Spark

> GLM-5.2 and Muse Spark score almost the same on the Noometry Index (51.1 vs 50.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-5-2-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GLM-5.2 scores higher in 6 categories and Muse Spark in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 57.1.
- The biggest single-benchmark swing is ProofBench: 35% for GLM-5.2 and 17% for Muse Spark.
- GLM-5.2 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.2 | Muse Spark |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 51.1 | 50.6 |
| Rank | 44 | 46 |
| Context | 1M | — |
| Input $/M | $1.40 | — |
| Output $/M | $4.40 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5.2: 51.3 (#41)
- Muse Spark: 46.2 (#69)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| SciCode | 50.5% | 51.5% |
| LMArena Coding | 1485 | 1481 |
| SWE-bench Verified | 78.7% | — |
| DeepSWE | 43.8% | — |
| FrontierCode | 24.5% | — |
| LMArena WebDev | 1603 | — |
| WeirdML | 70.1% | — |
| ALE-Bench | 1,047 | — |

## Agentic & Tool Use

- GLM-5.2: 32.4 (#63)
- Muse Spark: —

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| APEX-Agents | 45.2% | — |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 31.7% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 8,314 | — |

## Reasoning

- GLM-5.2: 42.3 (#52)
- Muse Spark: 35.9 (#67)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| CritPt | 20.9% | 11.3% |
| LMArena Hard Prompts | 1480 | 1474 |
| Epoch Capabilities Index | 151.78 | 152.04 |
| ARC-AGI-2 | 22.8% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 62.6% | — |
| NYT Connections (extended) | 74.3% | — |
| ARC-AGI-1 | 77% | — |
| Chess Puzzles | 21% | — |
| EBR-Bench | 9.5% | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 93.6% | — |
| LMCA | 45.8% | — |
| Surface Evolver Bench | 55.6% | — |

## Math

- GLM-5.2: 55.7 (#43)
- Muse Spark: 47.8 (#66)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.4% | 88.9% |
| ProofBench | 35% | 17% |
| LMArena Math | 1482 | 1455 |
| FrontierMath (Tiers 1-3) | 59.2% | — |
| FrontierMath Tier 4 | 29.3% | — |
| MathArena Final-Answer Competitions | 67.6% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GLM-5.2: 57.1 (#40)
- Muse Spark: 65.7 (#13)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| GPQA Diamond | 91.9% | 89.8% |
| LMArena Expert | 1486 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| SimpleQA Verified | 34.2% | — |

## Multimodal

- GLM-5.2: —
- Muse Spark: 43.4 (#24)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- GLM-5.2: 55.8 (#26)
- Muse Spark: 56.1 (#24)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1459 | 1464 |
| LMArena Chinese | 1519 | 1509 |
| LMArena French | 1479 | 1497 |
| LMArena German | 1468 | 1497 |
| LMArena Korean | 1445 | 1459 |
| LMArena Russian | 1466 | 1466 |
| LMArena Spanish | 1477 | 1472 |
| LMArena Japanese | 1451 | — |

## Instruction Following

- GLM-5.2: 76.9 (#34)
- Muse Spark: 75.9 (#51)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1465 | 1442 |

## Long Context

- GLM-5.2: 45.3 (#43)
- Muse Spark: 44.4 (#69)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1479 | 1451 |

## Writing & Preference

- GLM-5.2: 70.4 (#21)
- Muse Spark: 66.0 (#39)

| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Text | 1470 | 1474 |
| LMArena Creative Writing | 1462 | 1459 |
| LMArena Multi-Turn | 1469 | 1477 |
| EQ-Bench Creative Writing | 1757 | — |
| EQ-Bench 4 | 1222 | — |

## FAQ

### Is GLM-5.2 better than Muse Spark?

GLM-5.2 and Muse Spark score almost the same on the Noometry Index (51.1 vs 50.6), so choose on price, context window or the category you care about most.

### Is GLM-5.2 or Muse Spark better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 46.2 in the Noometry coding category.

### How many benchmarks do GLM-5.2 and Muse Spark share?

22 benchmarks have published results for both models. GLM-5.2 has 51 scored results on Noometry and Muse Spark has 27.