Model comparison

GLM-4.5 vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 42.0 on the Noometry Index. GLM-4.5 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. 18 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Muse Spark 1.1

Summary

They share 18 benchmarks with published results for both. GLM-4.5 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 28.6.
GLM-4.5 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 131K.
GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5 and Muse Spark 1.1 specifications
	GLM-4.5	Muse Spark 1.1
Provider	Z.ai (Zhipu)	Meta
Noometry Index	42.0	49.9
Released	2025-07-27	2026-04-08
Weights	Open	Proprietary
Context window	131K	1.05M
Max output	98K	131K
Input $ / M tokens	$0.60	$1.25
Output $ / M tokens	$2.20	$4.25
Results tracked	27	37

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Category by category

Coding Muse Spark 1.1 leads

GLM-4.5: 41.4 (#125), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Coding	1434	1498
DeepSWE	—	53.3%
SWE-bench Verified (bash only)	54.2%	—
LMArena WebDev	—	1542
SciCode	—	58.8%
WeirdML	40.6%	—
ALE-Bench	344.82	—
AlgoTune	1.52	—

Agentic & Tool Use Not comparable

GLM-4.5: —, Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.5	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-4.5: 28.6 (#100), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Hard Prompts	1429	1486
Kagi LLM Benchmark	57.9%	—
NYT Connections (extended)	—	84.9%
CritPt	—	15.1%
DTBench	—	94.4%
LMCA	—	49.9%
Surface Evolver Bench	—	52.5%
Epoch Capabilities Index	—	154.21

Math Muse Spark 1.1 leads

GLM-4.5: 39.0 (#116), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Math	1427	1483
ProofBench	—	39%

Knowledge Muse Spark 1.1 leads

GLM-4.5: 35.9 (#179), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Expert	1433	1478
Humanity's Last Exam	8.3%	—
SimpleQA Verified	—	57.8%
Confabulations	11.3%	—

Multimodal Not comparable

GLM-4.5: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Vision	—	1293
LMArena Document	—	1465

Multilingual Muse Spark 1.1 leads

GLM-4.5: 52.8 (#77), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Non-English	1417	1472
LMArena Chinese	1465	1518
LMArena French	1418	1494
LMArena German	1407	1466
LMArena Japanese	1415	1451
LMArena Korean	1380	1458
LMArena Russian	1414	1483
LMArena Spanish	1454	1464

Instruction Following Muse Spark 1.1 leads

GLM-4.5: 74.1 (#104), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Instruction Following	1404	1457

Long Context Muse Spark 1.1 leads

GLM-4.5: 38.2 (#201), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Longer Query	1412	1462
Fiction.LiveBench	58.3%	—

Writing & Preference Muse Spark 1.1 leads

GLM-4.5: 57.5 (#127), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
Benchmark	GLM-4.5	Muse Spark 1.1
LMArena Text	1430	1479
LMArena Creative Writing	1395	1437
EQ-Bench Creative Writing	1343	1927
LMArena Multi-Turn	1415	1485
Short-Story Creative Writing	73.4%	—
EQ-Bench 4	—	1260

Frequently asked questions

Is GLM-4.5 better than Muse Spark 1.1?

Which is cheaper, GLM-4.5 or Muse Spark 1.1?

GLM-4.5 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-4.5 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5 and Muse Spark 1.1 share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Muse Spark 1.1 has 37.