Noometry

Model comparison

GLM-5.3-Flash vs Muse Spark 1.2

GLM-5.3-Flash and Muse Spark 1.2 score almost the same on the Noometry Index (49.6 vs 49.8), so choose on price, context window or the category you care about most.

Last verified . 20 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Muse Spark 1.2 Meta

49.8

Rank #44 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 5 categories and Muse Spark 1.2 in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 31.7.
  • The biggest single-benchmark swing is ProofBench: 21% for GLM-5.3-Flash and 43% for Muse Spark 1.2.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 1M.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashMuse Spark 1.2
ProviderZ.ai (Zhipu)Meta
Noometry Index49.649.8
Released2026-08-202026-08-05
WeightsOpenProprietary
Context window1M1.05M
Max output131K131K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.50$4.25
Results tracked3628

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Muse Spark 1.2: 48.6 (#49)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
DeepSWE63.4%54.9%
LMArena WebDev16141532
SciCode51.6%56.4%
LMArena Coding15061497
FrontierCode31.8%—
FrontierSWE—12%
WeirdML—60.3%
ALE-Bench303.55—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), Muse Spark 1.2: 29.5 (#77)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
APEX-Agents52.8%36.4%
GDP.pdf14%16%

Reasoning Muse Spark 1.2 leads

GLM-5.3-Flash: 31.7 (#69), Muse Spark 1.2: 50.4 (#32)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
CritPt15.4%17.7%
LMArena Hard Prompts14901490
Epoch Capabilities Index151.9155.18
SimpleBench—74.5%
NYT Connections (extended)—79.2%
Chess Puzzles14%—
Mystery Game Puzzles8%—
DTBench—94.7%
LMCA—48.4%
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 1.2: 43.8 (#68)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
ProofBench21%43%
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
LMArena Math1499—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), Muse Spark 1.2: 53.9 (#49)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Expert15121485
GPQA Diamond90.2%—
SimpleQA Verified—60.3%

Multimodal Too close to call

GLM-5.3-Flash: 42.6 (#25), Muse Spark 1.2: 42.6 (#24)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Vision13041304

Multilingual Muse Spark 1.2 leads

GLM-5.3-Flash: 56.2 (#24), Muse Spark 1.2: 57.4 (#10)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Non-English14621479
LMArena Chinese15291519
LMArena Russian14721494
LMArena French1495—
LMArena German1457—
LMArena Japanese1420—
LMArena Korean1443—
LMArena Spanish1471—

Instruction Following Too close to call

GLM-5.3-Flash: 77.8 (#17), Muse Spark 1.2: 77.1 (#30)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Instruction Following14801466

Long Context Too close to call

GLM-5.3-Flash: 45.3 (#41), Muse Spark 1.2: 45.4 (#35)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Longer Query14791483

Writing & Preference Muse Spark 1.2 leads

GLM-5.3-Flash: 65.4 (#49), Muse Spark 1.2: 72.6 (#14)

BenchmarkGLM-5.3-FlashMuse Spark 1.2
LMArena Text14711486
LMArena Creative Writing14401444
LMArena Multi-Turn14711504
EQ-Bench Creative Writing—1840

Frequently asked questions

Is GLM-5.3-Flash better than Muse Spark 1.2?

GLM-5.3-Flash and Muse Spark 1.2 score almost the same on the Noometry Index (49.6 vs 49.8), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-5.3-Flash or Muse Spark 1.2?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is GLM-5.3-Flash or Muse Spark 1.2 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 1M.

How many benchmarks do GLM-5.3-Flash and Muse Spark 1.2 share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Muse Spark 1.2 has 28.

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