Model comparison
GLM-5.2 vs Muse Spark
GLM-5.2 and Muse Spark score almost the same on the Noometry Index (51.1 vs 50.6), so choose on price, context window or the category you care about most.
Last verified . 22 shared benchmarks.
MetaSummary
- They share 22 benchmarks with published results for both. GLM-5.2 scores higher in 6 categories and Muse Spark in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 57.1.
- The biggest single-benchmark swing is ProofBench: 35% for GLM-5.2 and 17% for Muse Spark.
- GLM-5.2 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.2 | Muse Spark | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 51.1 | 50.6 |
| Released | 2026-06-13 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 51 | 27 |
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Category by category
Coding GLM-5.2 leads
GLM-5.2: 51.3 (#41), Muse Spark: 46.2 (#69)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| SciCode | 50.5% | 51.5% |
| LMArena Coding | 1485 | 1481 |
| SWE-bench Verified | 78.7% | — |
| DeepSWE | 43.8% | — |
| FrontierCode | 24.5% | — |
| LMArena WebDev | 1603 | — |
| WeirdML | 70.1% | — |
| ALE-Bench | 1,047 | — |
Agentic & Tool Use Not comparable
GLM-5.2: 32.4 (#63), Muse Spark: —
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| APEX-Agents | 45.2% | — |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 31.7% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 8,314 | — |
Reasoning GLM-5.2 leads
GLM-5.2: 42.3 (#52), Muse Spark: 35.9 (#67)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| CritPt | 20.9% | 11.3% |
| LMArena Hard Prompts | 1480 | 1474 |
| Epoch Capabilities Index | 151.78 | 152.04 |
| ARC-AGI-2 | 22.8% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 62.6% | — |
| NYT Connections (extended) | 74.3% | — |
| ARC-AGI-1 | 77% | — |
| Chess Puzzles | 21% | — |
| EBR-Bench | 9.5% | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 93.6% | — |
| LMCA | 45.8% | — |
| Surface Evolver Bench | 55.6% | — |
Math GLM-5.2 leads
GLM-5.2: 55.7 (#43), Muse Spark: 47.8 (#66)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.4% | 88.9% |
| ProofBench | 35% | 17% |
| LMArena Math | 1482 | 1455 |
| FrontierMath (Tiers 1-3) | 59.2% | — |
| FrontierMath Tier 4 | 29.3% | — |
| MathArena Final-Answer Competitions | 67.6% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GLM-5.2: 57.1 (#40), Muse Spark: 65.7 (#13)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| GPQA Diamond | 91.9% | 89.8% |
| LMArena Expert | 1486 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| SimpleQA Verified | 34.2% | — |
Multimodal Not comparable
GLM-5.2: —, Muse Spark: 43.4 (#24)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Too close to call
GLM-5.2: 55.8 (#26), Muse Spark: 56.1 (#24)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Non-English | 1459 | 1464 |
| LMArena Chinese | 1519 | 1509 |
| LMArena French | 1479 | 1497 |
| LMArena German | 1468 | 1497 |
| LMArena Korean | 1445 | 1459 |
| LMArena Russian | 1466 | 1466 |
| LMArena Spanish | 1477 | 1472 |
| LMArena Japanese | 1451 | — |
Instruction Following GLM-5.2 leads
GLM-5.2: 76.9 (#34), Muse Spark: 75.9 (#51)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1465 | 1442 |
Long Context Too close to call
GLM-5.2: 45.3 (#43), Muse Spark: 44.4 (#69)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1479 | 1451 |
Writing & Preference GLM-5.2 leads
GLM-5.2: 70.4 (#21), Muse Spark: 66.0 (#39)
| Benchmark | GLM-5.2 | Muse Spark |
|---|---|---|
| LMArena Text | 1470 | 1474 |
| LMArena Creative Writing | 1462 | 1459 |
| LMArena Multi-Turn | 1469 | 1477 |
| EQ-Bench Creative Writing | 1757 | — |
| EQ-Bench 4 | 1222 | — |
Frequently asked questions
Is GLM-5.2 better than Muse Spark?
GLM-5.2 and Muse Spark score almost the same on the Noometry Index (51.1 vs 50.6), so choose on price, context window or the category you care about most.
Is GLM-5.2 or Muse Spark better for coding?
GLM-5.2 scores higher on coding benchmarks: 51.3 versus 46.2 in the Noometry coding category.
How many benchmarks do GLM-5.2 and Muse Spark share?
22 benchmarks have published results for both models. GLM-5.2 has 51 scored results on Noometry and Muse Spark has 27.