Model comparison

GLM-4.6V vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 40.9 on the Noometry Index. GLM-4.6V costs 4.4× 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. 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Muse Spark 1.1

Summary

They share 12 benchmarks with published results for both. GLM-4.6V 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 45.9 to 26.5.
GLM-4.6V is cheaper at $0.30 / $0.90 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 128K.
GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6V and Muse Spark 1.1 specifications
	GLM-4.6V	Muse Spark 1.1
Provider	Z.ai (Zhipu)	Meta
Noometry Index	40.9	49.9
Released	2025-12-08	2026-04-08
Weights	Open	Proprietary
Context window	128K	1.05M
Max output	33K	131K
Input $ / M tokens	$0.30	$1.25
Output $ / M tokens	$0.90	$4.25
Results tracked	12	36

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Muse Spark 1.1 leads

GLM-4.6V: 40.2 (#128), Muse Spark 1.1: 50.8 (#38)

Coding benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Coding	1390	1497
DeepSWE	—	53.3%
LMArena WebDev	—	1542
SciCode	—	58.8%

Agentic & Tool Use Not comparable

GLM-4.6V: —, Muse Spark 1.1: 33.9 (#45)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
τ²-bench Banking	—	40.5%
GBAEval	—	7.9%
GDP.pdf	—	15%
Vending-Bench 2	—	6,520

Reasoning Muse Spark 1.1 leads

GLM-4.6V: 26.5 (#117), Muse Spark 1.1: 45.9 (#41)

Reasoning benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Hard Prompts	1368	1486
NYT Connections (extended)	—	84.9%
CritPt	—	15.1%
DTBench	—	94.4%
LMCA	—	49.9%
Surface Evolver Bench	—	52.5%
Epoch Capabilities Index	—	154.32

Math Not comparable

GLM-4.6V: —, Muse Spark 1.1: 44.0 (#67)

Math benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
ProofBench	—	39%
LMArena Math	—	1477

Knowledge Muse Spark 1.1 leads

GLM-4.6V: 37.4 (#148), Muse Spark 1.1: 52.8 (#55)

Knowledge benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Expert	1372	1480
SimpleQA Verified	—	57.8%

Multimodal Muse Spark 1.1 leads

GLM-4.6V: 34.2 (#83), Muse Spark 1.1: 41.9 (#28)

Multimodal benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Vision	1164	1292
LMArena Document	—	1465

Multilingual Muse Spark 1.1 leads

GLM-4.6V: 48.8 (#135), Muse Spark 1.1: 56.8 (#16)

Multilingual benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Non-English	1359	1471
LMArena Chinese	1426	1518
LMArena Russian	1341	1482
LMArena French	—	1494
LMArena German	—	1466
LMArena Japanese	—	1445
LMArena Korean	—	1459
LMArena Spanish	—	1471

Instruction Following Muse Spark 1.1 leads

GLM-4.6V: 71.6 (#145), Muse Spark 1.1: 76.8 (#36)

Instruction Following benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Instruction Following	1351	1457

Long Context Muse Spark 1.1 leads

GLM-4.6V: 41.3 (#138), Muse Spark 1.1: 44.8 (#55)

Long Context benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Longer Query	1358	1463

Writing & Preference Muse Spark 1.1 leads

GLM-4.6V: 56.8 (#132), Muse Spark 1.1: 73.6 (#11)

Writing & Preference benchmarks
Benchmark	GLM-4.6V	Muse Spark 1.1
LMArena Text	1377	1479
LMArena Creative Writing	1347	1440
LMArena Multi-Turn	1359	1484
EQ-Bench Creative Writing	—	1927
EQ-Bench 4	—	1260

Frequently asked questions

Is GLM-4.6V better than Muse Spark 1.1?

Which is cheaper, GLM-4.6V or Muse Spark 1.1?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is GLM-4.6V or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 40.2 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 128K.

How many benchmarks do GLM-4.6V and Muse Spark 1.1 share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Muse Spark 1.1 has 36.