# GLM-4.7-Flash vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 14× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 20.2.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.4 | 49.8 |
| Rank | 175 | 44 |
| Context | 200K | 1.05M |
| Input $/M | $0.06 | $1.25 |
| Output $/M | $0.40 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Coding | 1383 | 1497 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1490 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| Chess Puzzles | 0% | — |
| DTBench | — | 94.7% |
| LMCA | — | 48.4% |
| Epoch Capabilities Index | — | 155.18 |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 43% |
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1357 | 1485 |
| GPQA Diamond | 60.5% | — |
| SimpleQA Verified | — | 60.3% |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- GLM-4.7-Flash: —
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1331 | 1479 |
| LMArena Chinese | 1403 | 1519 |
| LMArena Russian | 1333 | 1494 |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Spanish | 1351 | — |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1466 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1345 | 1483 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1351 | 1486 |
| LMArena Creative Writing | 1297 | 1444 |
| EQ-Bench Creative Writing | 1125 | 1840 |
| LMArena Multi-Turn | 1342 | 1504 |

## FAQ

### Is GLM-4.7-Flash better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 14× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or Muse Spark 1.2?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is GLM-4.7-Flash or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Muse Spark 1.2 share?

12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Muse Spark 1.2 has 28.