Model comparison

GLM-4.6 vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 41.4 on the Noometry Index. GLM-4.6 costs 2.0× 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. 21 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Muse Spark 1.1

Summary

They share 21 benchmarks with published results for both. GLM-4.6 scores higher in 1 category and Muse Spark 1.1 in 8 categories; 9 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 23.7.
The biggest single-benchmark swing is SciCode: 38.4% for GLM-4.6 and 58.8% for Muse Spark 1.1.
GLM-4.6 is cheaper at $0.60 / $2.20 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 205K.
GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6 and Muse Spark 1.1 specifications
	GLM-4.6	Muse Spark 1.1
Provider	Z.ai (Zhipu)	Meta
Noometry Index	41.4	49.9
Released	2025-09-30	2026-04-08
Weights	Open	Proprietary
Context window	205K	1.05M
Max output	131K	131K
Input $ / M tokens	$0.60	$1.25
Output $ / M tokens	$2.20	$4.25
Results tracked	29	37

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Category by category

Coding Muse Spark 1.1 leads

GLM-4.6: 40.1 (#148), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena WebDev	1340	1542
SciCode	38.4%	58.8%
LMArena Coding	1449	1498
DeepSWE	—	53.3%
SWE-bench Verified (bash only)	55.4%	—
ALE-Bench	340.82	—

Agentic & Tool Use GLM-4.6 leads

GLM-4.6: 32.3 (#66), Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
Terminal-Bench	24.5%	—
APEX-Agents	—	31.8%
Berkeley Function Calling Leaderboard	72.4%	—
τ²-bench Banking	—	40.5%
GBAEval	—	7.9%
GDP.pdf	—	15%
Vending-Bench 2	—	6,520

Reasoning Muse Spark 1.1 leads

GLM-4.6: 23.7 (#172), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
CritPt	1.1%	15.1%
LMArena Hard Prompts	1440	1486
Kagi LLM Benchmark	47.4%	—
NYT Connections (extended)	—	84.9%
DTBench	—	94.4%
LMCA	—	49.9%
Surface Evolver Bench	—	52.5%
Epoch Capabilities Index	—	154.21

Math Muse Spark 1.1 leads

GLM-4.6: 39.1 (#111), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Math	1432	1483
ProofBench	—	39%
FrontierMath (Feb 2025 set)	3.8%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge Muse Spark 1.1 leads

GLM-4.6: 40.2 (#124), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Expert	1431	1478
SimpleQA Verified	—	57.8%
Vectara Hallucination Rate	9.5%	—

Multimodal Not comparable

GLM-4.6: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Vision	—	1293
LMArena Document	—	1465

Multilingual Muse Spark 1.1 leads

GLM-4.6: 53.5 (#66), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Non-English	1426	1472
LMArena Chinese	1499	1518
LMArena French	1459	1494
LMArena German	1447	1466
LMArena Japanese	1393	1451
LMArena Korean	1400	1458
LMArena Russian	1419	1483
LMArena Spanish	1436	1464

Instruction Following Muse Spark 1.1 leads

GLM-4.6: 74.3 (#98), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Instruction Following	1410	1457

Long Context Muse Spark 1.1 leads

GLM-4.6: 43.4 (#94), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Longer Query	1422	1462

Writing & Preference Muse Spark 1.1 leads

GLM-4.6: 61.1 (#90), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
Benchmark	GLM-4.6	Muse Spark 1.1
LMArena Text	1440	1479
LMArena Creative Writing	1411	1437
EQ-Bench Creative Writing	1411	1927
LMArena Multi-Turn	1427	1485
EQ-Bench 4	—	1260

Frequently asked questions

Is GLM-4.6 better than Muse Spark 1.1?

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

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

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

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 205K.

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

21 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Muse Spark 1.1 has 37.