Model comparison
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.
Last verified . 12 shared benchmarks.
MetaSummary
- 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.
Side by side
| GLM-4.7-Flash | Muse Spark 1.2 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 38.4 | 49.8 |
| Released | 2026-01-19 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.06 | $1.25 |
| Output $ / M tokens | $0.40 | $4.25 |
| Results tracked | 21 | 28 |
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Category by category
Coding Muse Spark 1.2 leads
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 Not comparable
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 Muse Spark 1.2 leads
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 Muse Spark 1.2 leads
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 Muse Spark 1.2 leads
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 Not comparable
GLM-4.7-Flash: —, Muse Spark 1.2: 42.6 (#24)
| Benchmark | GLM-4.7-Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |
Multilingual Muse Spark 1.2 leads
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 Muse Spark 1.2 leads
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 Muse Spark 1.2 leads
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 Muse Spark 1.2 leads
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 |
Frequently asked questions
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.