Model comparison

GLM-5.3 vs Nemotron-4 15B

GLM-5.3 has enough public results to be ranked (#26); Nemotron-4 15B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Nemotron-4 15B NVIDIA

—

Unranked

Summary

  • They share 1 benchmark with published results for both.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Nemotron-4 15B specifications
GLM-5.3Nemotron-4 15B
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index54.8—
Released2026-08-142024-02-26
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked428

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Category by category

Coding Not comparable

GLM-5.3: 59.5 (#14), Nemotron-4 15B: —

Coding benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1496—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Nemotron-4 15B: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning Not comparable

GLM-5.3: 46.1 (#46), Nemotron-4 15B: —

Reasoning benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
Epoch Capabilities Index155.61107.72
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1489—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
BIG-Bench Hard—58.7%
HellaSwag—82.4%
PIQA—82.4%
WinoGrande—78%

Math Not comparable

GLM-5.3: 62.3 (#33), Nemotron-4 15B: —

Math benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1489—
GSM8K—46%

Knowledge Not comparable

GLM-5.3: 58.3 (#37), Nemotron-4 15B: —

Knowledge benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—
ARC (AI2) Challenge—55.5%
MMLU—58.7%

Multilingual Not comparable

GLM-5.3: 55.7 (#28), Nemotron-4 15B: —

Multilingual benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
LMArena Non-English1457—
LMArena Chinese1528—
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following Not comparable

GLM-5.3: 77.5 (#23), Nemotron-4 15B: —

Instruction Following benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
LMArena Instruction Following1477—

Long Context Not comparable

GLM-5.3: 45.4 (#41), Nemotron-4 15B: —

Long Context benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3: 75.7 (#6), Nemotron-4 15B: —

Writing & Preference benchmarks
BenchmarkGLM-5.3Nemotron-4 15B
LMArena Text1471—
LMArena Creative Writing1457—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.3 better than Nemotron-4 15B?

GLM-5.3 has enough public results to be ranked (#26); Nemotron-4 15B does not yet, so treat this comparison as directional.

How many benchmarks do GLM-5.3 and Nemotron-4 15B share?

1 benchmark has published results for both models. GLM-5.3 has 42 scored results on Noometry and Nemotron-4 15B has 8.

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