Noometry

Model comparison

GLM-5.1 vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 47.8 on the Noometry Index.

Last verified . 25 shared benchmarks.

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 25 benchmarks with published results for both. GLM-5.1 scores higher in 2 categories and Muse Spark 1.2 in 7 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 39.1.
  • The biggest single-benchmark swing is SimpleQA Verified: 34% for GLM-5.1 and 60.3% for Muse Spark 1.2.
  • Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 200K.
  • GLM-5.1 has downloadable open weights; the other is API-only.

Side by side

GLM-5.1Muse Spark 1.2
ProviderZ.ai (Zhipu)Meta
Noometry Index47.850.3
Released2026-04-072026-08-05
WeightsOpenProprietary
Context window200K1.05M
Max output131K131K
Input $ / M tokens$1.40$1.25
Output $ / M tokens$4.40$4.25
Results tracked4131

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Category by category

Coding Too close to call

GLM-5.1: 48.7 (#55), Muse Spark 1.2: 49.2 (#51)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena WebDev15081533
SciCode43.8%56.4%
WeirdML57.1%60.3%
LMArena Coding14851495
SWE-bench Verified74.2%—
DeepSWE—54.9%
FrontierSWE—12%
ALE-Bench887.1—

Agentic & Tool Use Muse Spark 1.2 leads

GLM-5.1: 24.9 (#113), Muse Spark 1.2: 29.4 (#87)

BenchmarkGLM-5.1Muse Spark 1.2
APEX-Agents40.9%36.4%
ExploitBench18.1%—
GBAEval0%—
GDP.pdf—16%
Vending-Bench 25,634—

Reasoning Muse Spark 1.2 leads

GLM-5.1: 39.1 (#60), Muse Spark 1.2: 51.3 (#34)

BenchmarkGLM-5.1Muse Spark 1.2
SimpleBench55.1%74.5%
NYT Connections (extended)77.7%79.2%
CritPt4.6%17.7%
LMArena Hard Prompts14721486
Epoch Capabilities Index149.84154.87
Chess Puzzles19%—
Thematic Generalization69.8%—
DTBench—94.7%
LMCA—48.4%

Math GLM-5.1 leads

GLM-5.1: 49.7 (#60), Muse Spark 1.2: 46.4 (#70)

BenchmarkGLM-5.1Muse Spark 1.2
ProofBench22.2%43%
LMArena Math14731471
FrontierMath (Tiers 1-3)36.8%—
MathArena Final-Answer Competitions67.1%—
OTIS Mock AIME 2024-202593.3%—
FrontierMath (Feb 2025 set)33.4%—
FrontierMath Tier 4 (v1)12.5%—

Knowledge Too close to call

GLM-5.1: 54.9 (#50), Muse Spark 1.2: 54.1 (#53)

BenchmarkGLM-5.1Muse Spark 1.2
SimpleQA Verified34%60.3%
LMArena Expert14761480
GPQA Diamond89.9%—

Multimodal Not comparable

GLM-5.1: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

GLM-5.1: 55.0 (#36), Muse Spark 1.2: 57.1 (#11)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena Non-English14471478
LMArena Chinese15151511
LMArena French14741513
LMArena Russian14541487
LMArena Spanish14691498
LMArena German1465—
LMArena Japanese1434—
LMArena Korean1418—

Instruction Following Too close to call

GLM-5.1: 76.3 (#42), Muse Spark 1.2: 76.7 (#36)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena Instruction Following14511461

Long Context Too close to call

GLM-5.1: 44.9 (#53), Muse Spark 1.2: 45.2 (#48)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena Longer Query14661475

Writing & Preference Muse Spark 1.2 leads

GLM-5.1: 66.9 (#31), Muse Spark 1.2: 72.3 (#14)

BenchmarkGLM-5.1Muse Spark 1.2
LMArena Text14611482
LMArena Creative Writing14531449
EQ-Bench Creative Writing15921840
LMArena Multi-Turn14721494

Frequently asked questions

Is GLM-5.1 better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 47.8 on the Noometry Index.

Which is cheaper, GLM-5.1 or Muse Spark 1.2?

Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

Is GLM-5.1 or Muse Spark 1.2 better for coding?

They score almost the same on coding (48.7 vs 49.2); test both on your own repository before choosing.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 200K.

How many benchmarks do GLM-5.1 and Muse Spark 1.2 share?

25 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Muse Spark 1.2 has 31.

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