Model comparison
GLM-4.7-Flash vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 38.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. GLM-4.7-Flash 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 35.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 88.9% for Muse Spark.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Muse Spark | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.8 | 50.6 |
| Released | 2026-01-19 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 21 | 27 |
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Category by category
Coding Muse Spark leads
GLM-4.7-Flash: 40.6 (#135), Muse Spark: 46.2 (#69)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Coding | 1383 | 1481 |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
GLM-4.7-Flash: 20.9 (#229), Muse Spark: 35.9 (#67)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1474 |
| CritPt | — | 11.3% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | — | 152.04 |
Math Muse Spark leads
GLM-4.7-Flash: 36.1 (#173), Muse Spark: 47.8 (#66)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 88.9% |
| LMArena Math | 1355 | 1455 |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GLM-4.7-Flash: 35.5 (#184), Muse Spark: 65.7 (#13)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| GPQA Diamond | 60.5% | 89.8% |
| LMArena Expert | 1357 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
GLM-4.7-Flash: —, Muse Spark: 43.4 (#24)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GLM-4.7-Flash: 46.5 (#158), Muse Spark: 56.1 (#24)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Non-English | 1330 | 1464 |
| LMArena Chinese | 1403 | 1509 |
| LMArena French | 1332 | 1497 |
| LMArena German | 1337 | 1497 |
| LMArena Korean | 1283 | 1459 |
| LMArena Russian | 1332 | 1466 |
| LMArena Spanish | 1350 | 1472 |
Instruction Following Muse Spark leads
GLM-4.7-Flash: 70.1 (#167), Muse Spark: 75.9 (#51)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1327 | 1442 |
Long Context Muse Spark leads
GLM-4.7-Flash: 40.9 (#148), Muse Spark: 44.4 (#69)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1345 | 1451 |
Writing & Preference Muse Spark leads
GLM-4.7-Flash: 47.4 (#210), Muse Spark: 66.0 (#39)
| Benchmark | GLM-4.7-Flash | Muse Spark |
|---|---|---|
| LMArena Text | 1351 | 1474 |
| LMArena Creative Writing | 1297 | 1459 |
| LMArena Multi-Turn | 1342 | 1477 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 38.8 on the Noometry Index.
Is GLM-4.7-Flash or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 40.6 in the Noometry coding category.
How many benchmarks do GLM-4.7-Flash and Muse Spark share?
18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Muse Spark has 27.