Model comparison
GLM-4.6V vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.3 to 40.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. GLM-4.6V 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 37.4.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | Muse Spark | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 40.9 | 50.3 |
| Released | 2025-12-08 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 12 | 27 |
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Category by category
Coding Muse Spark leads
GLM-4.6V: 40.2 (#128), Muse Spark: 45.6 (#65)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Coding | 1390 | 1482 |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
GLM-4.6V: 26.5 (#117), Muse Spark: 34.9 (#61)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1475 |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.09 |
Math Not comparable
GLM-4.6V: —, Muse Spark: 46.8 (#57)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| LMArena Math | — | 1455 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GLM-4.6V: 37.4 (#148), Muse Spark: 65.7 (#12)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Expert | 1372 | 1458 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
Multimodal Muse Spark leads
GLM-4.6V: 34.2 (#83), Muse Spark: 42.7 (#23)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Vision | 1164 | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GLM-4.6V: 48.8 (#135), Muse Spark: 56.3 (#23)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Non-English | 1359 | 1464 |
| LMArena Chinese | 1426 | 1507 |
| LMArena Russian | 1341 | 1467 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1457 |
| LMArena Spanish | — | 1471 |
Instruction Following Muse Spark leads
GLM-4.6V: 71.6 (#145), Muse Spark: 76.1 (#47)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1351 | 1443 |
Long Context Muse Spark leads
GLM-4.6V: 41.3 (#138), Muse Spark: 44.4 (#65)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1358 | 1451 |
Writing & Preference Muse Spark leads
GLM-4.6V: 56.8 (#132), Muse Spark: 66.2 (#37)
| Benchmark | GLM-4.6V | Muse Spark |
|---|---|---|
| LMArena Text | 1377 | 1474 |
| LMArena Creative Writing | 1347 | 1460 |
| LMArena Multi-Turn | 1359 | 1477 |
Frequently asked questions
Is GLM-4.6V better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.3 to 40.9 on the Noometry Index.
Is GLM-4.6V or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 45.6 versus 40.2 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Muse Spark share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Muse Spark has 27.