Model comparison

GLM-4.5V vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 39.8 on the Noometry Index. GLM-4.5V costs 2.2× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.4 to 52.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 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 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5V and Muse Spark 1.1 specifications
GLM-4.5VMuse Spark 1.1
ProviderZ.ai (Zhipu)Meta
Noometry Index39.849.9
Released2025-08-112026-04-08
WeightsOpenProprietary
Context window64K1.05M
Max output16K131K
Input $ / M tokens$0.60$1.25
Output $ / M tokens$1.80$4.25
Results tracked1537

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Category by category

Coding Muse Spark 1.1 leads

GLM-4.5V: 39.5 (#155), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Coding13471498
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
BenchmarkGLM-4.5VMuse 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-4.5V: 27.4 (#119), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Hard Prompts13341486
Kagi LLM Benchmark59.8%—
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-4.5V: 37.4 (#159), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Math13541483
ProofBench—39%

Knowledge Muse Spark 1.1 leads

GLM-4.5V: 37.5 (#156), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Expert13531478
SimpleQA Verified—57.8%

Multimodal Muse Spark 1.1 leads

GLM-4.5V: 34.3 (#92), Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Vision11541293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

GLM-4.5V: 44.6 (#177), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Non-English13031472
LMArena Chinese13371518
LMArena Russian12981483
LMArena Spanish13361464
LMArena French—1494
LMArena German—1466
LMArena Japanese—1451
LMArena Korean—1458

Instruction Following Muse Spark 1.1 leads

GLM-4.5V: 69.2 (#175), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Instruction Following13111457

Long Context Muse Spark 1.1 leads

GLM-4.5V: 39.6 (#171), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Longer Query13041462

Writing & Preference Muse Spark 1.1 leads

GLM-4.5V: 52.5 (#170), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkGLM-4.5VMuse Spark 1.1
LMArena Text13331479
LMArena Creative Writing12951437
LMArena Multi-Turn13321485
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is GLM-4.5V better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 39.8 on the Noometry Index. GLM-4.5V costs 2.2× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

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

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

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

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 64K.

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

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Muse Spark 1.1 has 37.

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