Model comparison
GLM-5.3 vs Muse Spark 1.2
GLM-5.3 is the stronger model overall, scoring 54.8 to 50.3 on the Noometry Index.
Last verified . 28 shared benchmarks.
MetaSummary
- They share 28 benchmarks with published results for both. GLM-5.3 scores higher in 7 categories and Muse Spark 1.2 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 46.4.
- The biggest single-benchmark swing is APEX-Agents: 56.6% for GLM-5.3 and 36.4% for Muse Spark 1.2.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 1M.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3 | Muse Spark 1.2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 54.8 | 50.3 |
| Released | 2026-08-14 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $1.40 | $1.25 |
| Output $ / M tokens | $4.40 | $4.25 |
| Results tracked | 42 | 31 |
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Category by category
Coding GLM-5.3 leads
GLM-5.3: 59.5 (#14), Muse Spark 1.2: 49.2 (#51)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| DeepSWE | 69% | 54.9% |
| LMArena WebDev | 1622 | 1533 |
| FrontierSWE | 30.2% | 12% |
| SciCode | 59% | 56.4% |
| WeirdML | 75.4% | 60.3% |
| LMArena Coding | 1496 | 1495 |
| FrontierCode | 40.1% | — |
| CursorBench | 42.6% | — |
| ALE-Bench | 1,317 | — |
Agentic & Tool Use GLM-5.3 leads
GLM-5.3: 36.4 (#38), Muse Spark 1.2: 29.4 (#87)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | 56.6% | 36.4% |
| GDP.pdf | — | 16% |
| Vending-Bench 2 | 8,164 | — |
Reasoning Muse Spark 1.2 leads
GLM-5.3: 46.1 (#46), Muse Spark 1.2: 51.3 (#34)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| NYT Connections (extended) | 74.2% | 79.2% |
| CritPt | 19.1% | 17.7% |
| LMArena Hard Prompts | 1489 | 1486 |
| DTBench | 87.7% | 94.7% |
| LMCA | 55.5% | 48.4% |
| Epoch Capabilities Index | 155.61 | 154.87 |
| SimpleBench | — | 74.5% |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| Bench to the Future 3 | 0.15 | — |
Math GLM-5.3 leads
GLM-5.3: 62.3 (#33), Muse Spark 1.2: 46.4 (#70)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 49% | 43% |
| LMArena Math | 1489 | 1471 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
Knowledge GLM-5.3 leads
GLM-5.3: 58.3 (#37), Muse Spark 1.2: 54.1 (#53)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | 41% | 60.3% |
| LMArena Expert | 1516 | 1480 |
| GPQA Diamond | 90.9% | — |
Multimodal Not comparable
GLM-5.3: —, Muse Spark 1.2: 43.4 (#25)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1305 |
Multilingual Muse Spark 1.2 leads
GLM-5.3: 55.7 (#28), Muse Spark 1.2: 57.1 (#11)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1457 | 1478 |
| LMArena Chinese | 1528 | 1511 |
| LMArena French | 1499 | 1513 |
| LMArena Russian | 1463 | 1487 |
| LMArena Spanish | 1460 | 1498 |
| LMArena German | 1499 | — |
| LMArena Japanese | 1453 | — |
| LMArena Korean | 1472 | — |
Instruction Following Too close to call
GLM-5.3: 77.5 (#23), Muse Spark 1.2: 76.7 (#36)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1461 |
Long Context Too close to call
GLM-5.3: 45.4 (#41), Muse Spark 1.2: 45.2 (#48)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1482 | 1475 |
Writing & Preference GLM-5.3 leads
GLM-5.3: 75.7 (#6), Muse Spark 1.2: 72.3 (#14)
| Benchmark | GLM-5.3 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1471 | 1482 |
| LMArena Creative Writing | 1457 | 1449 |
| EQ-Bench Creative Writing | 2075 | 1840 |
| LMArena Multi-Turn | 1472 | 1494 |
Frequently asked questions
Is GLM-5.3 better than Muse Spark 1.2?
GLM-5.3 is the stronger model overall, scoring 54.8 to 50.3 on the Noometry Index.
Which is cheaper, GLM-5.3 or Muse Spark 1.2?
Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.
Is GLM-5.3 or Muse Spark 1.2 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 49.2 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 1M.
How many benchmarks do GLM-5.3 and Muse Spark 1.2 share?
28 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Muse Spark 1.2 has 31.