Model comparison

GLM-5.3 vs Wizardlm 13b

GLM-5.3 is the stronger model overall, scoring 54.8 to 31.4 on the Noometry Index.

Last verified . 10 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Wizardlm 13b Microsoft

31.4

Rank #274 Confirmed

Summary

  • They share 10 benchmarks with published results for both. GLM-5.3 scores higher in 7 categories and Wizardlm 13b in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3 leads 75.7 to 30.5.

Side by side

GLM-5.3 and Wizardlm 13b specifications
GLM-5.3Wizardlm 13b
ProviderZ.ai (Zhipu)Microsoft
Noometry Index54.831.4
Released2026-08-14—
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4210

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Wizardlm 13b: 30.1 (#298)

Coding benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Coding14961035
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Wizardlm 13b: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Wizardlm 13b
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Wizardlm 13b: 19.4 (#259)

Reasoning benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Hard Prompts14891018
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Wizardlm 13b: 30.2 (#238)

Math benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Math14891017
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—

Knowledge Not comparable

GLM-5.3: 58.3 (#37), Wizardlm 13b: —

Knowledge benchmarks
BenchmarkGLM-5.3Wizardlm 13b
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Wizardlm 13b: 27.1 (#277)

Multilingual benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Non-English14571034
LMArena Chinese15281023
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Wizardlm 13b: 53.5 (#285)

Instruction Following benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Instruction Following14771048

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), Wizardlm 13b: 32.0 (#273)

Long Context benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Longer Query14821054

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Wizardlm 13b: 30.5 (#287)

Writing & Preference benchmarks
BenchmarkGLM-5.3Wizardlm 13b
LMArena Text14711077
LMArena Creative Writing14571091
LMArena Multi-Turn14721047
EQ-Bench Creative Writing2075—

Frequently asked questions

Is GLM-5.3 better than Wizardlm 13b?

GLM-5.3 is the stronger model overall, scoring 54.8 to 31.4 on the Noometry Index.

Is GLM-5.3 or Wizardlm 13b better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 30.1 in the Noometry coding category.

How many benchmarks do GLM-5.3 and Wizardlm 13b share?

10 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Wizardlm 13b has 10.

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