Model comparison

GLM-4.7-Flash vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 14× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Muse Spark 1.1

Summary

They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 20.9.
GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
Muse Spark 1.1 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 and Muse Spark 1.1 specifications
	GLM-4.7-Flash	Muse Spark 1.1
Provider	Z.ai (Zhipu)	Meta
Noometry Index	38.8	49.9
Released	2026-01-19	2026-04-08
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	37

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Category by category

Coding Muse Spark 1.1 leads

GLM-4.7-Flash: 40.6 (#135), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Coding	1383	1498
DeepSWE	—	53.3%
LMArena WebDev	—	1542
SciCode	—	58.8%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
APEX-Agents	—	31.8%
τ²-bench Banking	—	40.5%
GBAEval	—	7.9%
GDP.pdf	—	15%
Vending-Bench 2	—	6,520

Reasoning Muse Spark 1.1 leads

GLM-4.7-Flash: 20.9 (#229), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Hard Prompts	1356	1486
NYT Connections (extended)	—	84.9%
CritPt	—	15.1%
Chess Puzzles	0%	—
DTBench	—	94.4%
LMCA	—	49.9%
Surface Evolver Bench	—	52.5%
Epoch Capabilities Index	—	154.21

Math Muse Spark 1.1 leads

GLM-4.7-Flash: 36.1 (#173), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Math	1355	1483
OTIS Mock AIME 2024-2025	58.3%	—
ProofBench	—	39%

Knowledge Muse Spark 1.1 leads

GLM-4.7-Flash: 35.5 (#184), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Expert	1357	1478
GPQA Diamond	60.5%	—
SimpleQA Verified	—	57.8%
Vectara Hallucination Rate	9.3%	—

Multimodal Not comparable

GLM-4.7-Flash: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Vision	—	1293
LMArena Document	—	1465

Multilingual Muse Spark 1.1 leads

GLM-4.7-Flash: 46.5 (#158), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Non-English	1330	1472
LMArena Chinese	1403	1518
LMArena French	1332	1494
LMArena German	1337	1466
LMArena Korean	1283	1458
LMArena Russian	1332	1483
LMArena Spanish	1350	1464
LMArena Japanese	—	1451

Instruction Following Muse Spark 1.1 leads

GLM-4.7-Flash: 70.1 (#167), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Instruction Following	1327	1457

Long Context Muse Spark 1.1 leads

GLM-4.7-Flash: 40.9 (#148), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Longer Query	1345	1462

Writing & Preference Muse Spark 1.1 leads

GLM-4.7-Flash: 47.4 (#210), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
Benchmark	GLM-4.7-Flash	Muse Spark 1.1
LMArena Text	1351	1479
LMArena Creative Writing	1297	1437
EQ-Bench Creative Writing	1125	1927
LMArena Multi-Turn	1342	1485
EQ-Bench 4	—	1260

Frequently asked questions

Is GLM-4.7-Flash better than Muse Spark 1.1?

Which is cheaper, GLM-4.7-Flash or Muse Spark 1.1?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is GLM-4.7-Flash or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Muse Spark 1.1 share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Muse Spark 1.1 has 37.