Noometry

Model comparison

GLM-5.3-Flash vs Muse Spark

GLM-5.3-Flash and Muse Spark score almost the same on the Noometry Index (49.6 vs 50.3), so choose on price, context window or the category you care about most.

Last verified . 23 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Muse Spark Meta

50.3

Rank #41 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 4 categories and Muse Spark in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3-Flash leads 53.7 to 45.6.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashMuse Spark
ProviderZ.ai (Zhipu)Meta
Noometry Index49.650.3
Released2026-08-202026-04-08
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked3627

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Muse Spark: 45.6 (#65)

BenchmarkGLM-5.3-FlashMuse Spark
SciCode51.6%51.5%
LMArena Coding15061482
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), Muse Spark: —

BenchmarkGLM-5.3-FlashMuse Spark
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning Muse Spark leads

GLM-5.3-Flash: 31.7 (#69), Muse Spark: 34.9 (#61)

BenchmarkGLM-5.3-FlashMuse Spark
CritPt15.4%11.3%
LMArena Hard Prompts14901475
Epoch Capabilities Index151.9152.09
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Muse Spark: 46.8 (#57)

BenchmarkGLM-5.3-FlashMuse Spark
OTIS Mock AIME 2024-202593.9%88.9%
ProofBench21%17%
LMArena Math14991455
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%

Knowledge Muse Spark leads

GLM-5.3-Flash: 58.4 (#33), Muse Spark: 65.7 (#12)

BenchmarkGLM-5.3-FlashMuse Spark
GPQA Diamond90.2%89.8%
LMArena Expert15121458
Humanity's Last Exam—40.6%

Multimodal Too close to call

GLM-5.3-Flash: 42.6 (#25), Muse Spark: 42.7 (#23)

BenchmarkGLM-5.3-FlashMuse Spark
LMArena Vision13041306
LMArena Document—1444

Multilingual Too close to call

GLM-5.3-Flash: 56.2 (#24), Muse Spark: 56.3 (#23)

BenchmarkGLM-5.3-FlashMuse Spark
LMArena Non-English14621464
LMArena Chinese15291507
LMArena French14951497
LMArena German14571497
LMArena Korean14431457
LMArena Russian14721467
LMArena Spanish14711471
LMArena Japanese1420—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Muse Spark: 76.1 (#47)

BenchmarkGLM-5.3-FlashMuse Spark
LMArena Instruction Following14801443

Long Context Too close to call

GLM-5.3-Flash: 45.3 (#41), Muse Spark: 44.4 (#65)

BenchmarkGLM-5.3-FlashMuse Spark
LMArena Longer Query14791451

Writing & Preference Too close to call

GLM-5.3-Flash: 65.4 (#49), Muse Spark: 66.2 (#37)

BenchmarkGLM-5.3-FlashMuse Spark
LMArena Text14711474
LMArena Creative Writing14401460
LMArena Multi-Turn14711477

Frequently asked questions

Is GLM-5.3-Flash better than Muse Spark?

GLM-5.3-Flash and Muse Spark score almost the same on the Noometry Index (49.6 vs 50.3), so choose on price, context window or the category you care about most.

Is GLM-5.3-Flash or Muse Spark better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 45.6 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Muse Spark share?

23 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Muse Spark has 27.

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