Model comparison
GLM-4.5 vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 42.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. GLM-4.5 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 35.9.
- The biggest single-benchmark swing is Humanity's Last Exam: 8.3% for GLM-4.5 and 40.6% for Muse Spark.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Muse Spark | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 42.0 | 50.6 |
| Released | 2025-07-27 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark leads
GLM-4.5: 41.4 (#125), Muse Spark: 46.2 (#69)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Coding | 1434 | 1481 |
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 51.5% |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning Muse Spark leads
GLM-4.5: 28.6 (#100), Muse Spark: 35.9 (#67)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1474 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.04 |
Math Muse Spark leads
GLM-4.5: 39.0 (#116), Muse Spark: 47.8 (#66)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Math | 1427 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GLM-4.5: 35.9 (#179), Muse Spark: 65.7 (#13)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| Humanity's Last Exam | 8.3% | 40.6% |
| LMArena Expert | 1433 | 1457 |
| GPQA Diamond | — | 89.8% |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, Muse Spark: 43.4 (#24)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GLM-4.5: 52.8 (#77), Muse Spark: 56.1 (#24)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1417 | 1464 |
| LMArena Chinese | 1465 | 1509 |
| LMArena French | 1418 | 1497 |
| LMArena German | 1407 | 1497 |
| LMArena Korean | 1380 | 1459 |
| LMArena Russian | 1414 | 1466 |
| LMArena Spanish | 1454 | 1472 |
| LMArena Japanese | 1415 | — |
Instruction Following Muse Spark leads
GLM-4.5: 74.1 (#104), Muse Spark: 75.9 (#51)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1404 | 1442 |
Long Context Muse Spark leads
GLM-4.5: 38.2 (#201), Muse Spark: 44.4 (#69)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1412 | 1451 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Muse Spark leads
GLM-4.5: 57.5 (#127), Muse Spark: 66.0 (#39)
| Benchmark | GLM-4.5 | Muse Spark |
|---|---|---|
| LMArena Text | 1430 | 1474 |
| LMArena Creative Writing | 1395 | 1459 |
| LMArena Multi-Turn | 1415 | 1477 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 42.0 on the Noometry Index.
Is GLM-4.5 or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 41.4 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Muse Spark share?
17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Muse Spark has 27.