Model comparison
GLM-4.5-Air vs Muse Glimmer
Muse Glimmer is the stronger model overall, scoring 41.3 to 38.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and Muse Glimmer in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Muse Glimmer leads 38.7 to 34.5.
Side by side
| GLM-4.5-Air | Muse Glimmer | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.7 | 41.3 |
| Released | 2025-07-20 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 13 |
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Category by category
Coding Muse Glimmer leads
GLM-4.5-Air: 34.5 (#225), Muse Glimmer: 38.7 (#157)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Coding | 1397 | 1417 |
| LMArena WebDev | — | 1355 |
| GSO | 2.9% | — |
Reasoning Muse Glimmer leads
GLM-4.5-Air: 23.3 (#166), Muse Glimmer: 27.2 (#111)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1395 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math Muse Glimmer leads
GLM-4.5-Air: 33.8 (#166), Muse Glimmer: 36.1 (#128)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Math | 1396 | 1419 |
| Omni-MATH | 39.1% | — |
Knowledge Muse Glimmer leads
GLM-4.5-Air: 34.6 (#184), Muse Glimmer: 37.9 (#140)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1370 | 1388 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual Muse Glimmer leads
GLM-4.5-Air: 49.4 (#130), Muse Glimmer: 50.6 (#117)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1366 | 1384 |
| LMArena Chinese | 1427 | 1412 |
| LMArena Russian | 1373 | 1393 |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Spanish | 1385 | — |
Instruction Following Muse Glimmer leads
GLM-4.5-Air: 69.8 (#165), Muse Glimmer: 72.7 (#134)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1353 | 1374 |
| IFEval | 81.2% | — |
Long Context Too close to call
GLM-4.5-Air: 41.6 (#130), Muse Glimmer: 42.1 (#124)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1367 | 1381 |
Writing & Preference Muse Glimmer leads
GLM-4.5-Air: 56.1 (#134), Muse Glimmer: 57.7 (#122)
| Benchmark | GLM-4.5-Air | Muse Glimmer |
|---|---|---|
| LMArena Text | 1384 | 1389 |
| LMArena Creative Writing | 1343 | 1338 |
| LMArena Multi-Turn | 1371 | 1398 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Muse Glimmer?
Muse Glimmer is the stronger model overall, scoring 41.3 to 38.7 on the Noometry Index.
Is GLM-4.5-Air or Muse Glimmer better for coding?
Muse Glimmer scores higher on coding benchmarks: 38.7 versus 34.5 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Muse Glimmer share?
12 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Muse Glimmer has 13.