Model comparison
GLM-4.5-Air vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.9 on the Noometry Index. GLM-4.5-Air costs 4.7× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 24.1.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | Muse Spark 1.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.9 | 49.9 |
| Released | 2025-07-20 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 131K | 1.05M |
| Max output | 98K | 131K |
| Input $ / M tokens | $0.20 | $1.25 |
| Output $ / M tokens | $1.10 | $4.25 |
| Results tracked | 27 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.1 leads
GLM-4.5-Air: 33.3 (#259), Muse Spark 1.1: 51.3 (#40)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1397 | 1498 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
| GSO | 2.9% | — |
Agentic & Tool Use Not comparable
GLM-4.5-Air: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
GLM-4.5-Air: 24.1 (#166), Muse Spark 1.1: 47.1 (#44)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1486 |
| Kagi LLM Benchmark | 43% | — |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| Epoch Capabilities Index | — | 154.21 |
| ForecastBench | 59.2 | — |
Math Muse Spark 1.1 leads
GLM-4.5-Air: 36.2 (#170), Muse Spark 1.1: 45.5 (#76)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1396 | 1483 |
| ProofBench | — | 39% |
| Omni-MATH | 39.1% | — |
Knowledge Muse Spark 1.1 leads
GLM-4.5-Air: 35.0 (#191), Muse Spark 1.1: 53.1 (#59)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1370 | 1478 |
| Humanity's Last Exam | 8.1% | — |
| SimpleQA Verified | — | 57.8% |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multimodal Not comparable
GLM-4.5-Air: —, Muse Spark 1.1: 42.6 (#29)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
GLM-4.5-Air: 49.1 (#135), Muse Spark 1.1: 56.7 (#17)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1366 | 1472 |
| LMArena Chinese | 1426 | 1518 |
| LMArena French | 1399 | 1494 |
| LMArena German | 1377 | 1466 |
| LMArena Japanese | 1348 | 1451 |
| LMArena Korean | 1308 | 1458 |
| LMArena Russian | 1373 | 1483 |
| LMArena Spanish | 1386 | 1464 |
Instruction Following Muse Spark 1.1 leads
GLM-4.5-Air: 69.6 (#171), Muse Spark 1.1: 76.5 (#39)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1354 | 1457 |
| IFEval | 81.2% | — |
Long Context Muse Spark 1.1 leads
GLM-4.5-Air: 41.6 (#135), Muse Spark 1.1: 44.8 (#58)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1366 | 1462 |
Writing & Preference Muse Spark 1.1 leads
GLM-4.5-Air: 55.9 (#139), Muse Spark 1.1: 73.4 (#11)
| Benchmark | GLM-4.5-Air | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1384 | 1479 |
| LMArena Creative Writing | 1343 | 1437 |
| LMArena Multi-Turn | 1371 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| WildBench | 78.9% | — |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is GLM-4.5-Air better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.9 on the Noometry Index. GLM-4.5-Air costs 4.7× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5-Air or Muse Spark 1.1?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is GLM-4.5-Air or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 131K.
How many benchmarks do GLM-4.5-Air and Muse Spark 1.1 share?
17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Muse Spark 1.1 has 37.