Model comparison
GLM-4.5V vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 39.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
MetaSummary
- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Muse Spark in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 37.5.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Muse Spark | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 39.8 | 50.6 |
| Released | 2025-08-11 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 27 |
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Category by category
Coding Muse Spark leads
GLM-4.5V: 39.5 (#155), Muse Spark: 46.2 (#69)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Coding | 1347 | 1481 |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
GLM-4.5V: 27.4 (#119), Muse Spark: 35.9 (#67)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1474 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.04 |
Math Muse Spark leads
GLM-4.5V: 37.4 (#159), Muse Spark: 47.8 (#66)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Math | 1354 | 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-4.5V: 37.5 (#156), Muse Spark: 65.7 (#13)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Expert | 1353 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
Multimodal Muse Spark leads
GLM-4.5V: 34.3 (#92), Muse Spark: 43.4 (#24)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Vision | 1154 | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GLM-4.5V: 44.6 (#177), Muse Spark: 56.1 (#24)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Non-English | 1303 | 1464 |
| LMArena Chinese | 1337 | 1509 |
| LMArena Russian | 1298 | 1466 |
| LMArena Spanish | 1336 | 1472 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1459 |
Instruction Following Muse Spark leads
GLM-4.5V: 69.2 (#175), Muse Spark: 75.9 (#51)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1311 | 1442 |
Long Context Muse Spark leads
GLM-4.5V: 39.6 (#171), Muse Spark: 44.4 (#69)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1304 | 1451 |
Writing & Preference Muse Spark leads
GLM-4.5V: 52.5 (#170), Muse Spark: 66.0 (#39)
| Benchmark | GLM-4.5V | Muse Spark |
|---|---|---|
| LMArena Text | 1333 | 1474 |
| LMArena Creative Writing | 1295 | 1459 |
| LMArena Multi-Turn | 1332 | 1477 |
Frequently asked questions
Is GLM-4.5V better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 39.8 on the Noometry Index.
Is GLM-4.5V or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 39.5 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Muse Spark share?
14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Muse Spark has 27.