Noometry

Model comparison

GLM-5.3-Flash vs Nemotron 4 340b Instruct

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 35.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Nemotron 4 340b Instruct NVIDIA

35.9

Rank #223 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Nemotron 4 340b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 32.0.

Side by side

GLM-5.3-FlashNemotron 4 340b Instruct
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index51.835.9
Released2026-08-202024-06-14
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4017

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Nemotron 4 340b Instruct: 35.2 (#228)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Coding15081209
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Nemotron 4 340b Instruct: —

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Nemotron 4 340b Instruct: 23.4 (#178)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Hard Prompts14911202
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Nemotron 4 340b Instruct: 34.3 (#195)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Math15001216
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Nemotron 4 340b Instruct: 32.0 (#216)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Expert15131171
GPQA Diamond90.2%—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Nemotron 4 340b Instruct: —

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Nemotron 4 340b Instruct: 37.9 (#233)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Non-English14621206
LMArena Chinese15271214
LMArena French14961197
LMArena German14701192
LMArena Japanese14291128
LMArena Korean14461148
LMArena Russian14691219
LMArena Spanish14711195

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Nemotron 4 340b Instruct: 63.1 (#232)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Instruction Following14781203

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Nemotron 4 340b Instruct: 37.1 (#221)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Longer Query14821225

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Nemotron 4 340b Instruct: 42.7 (#233)

BenchmarkGLM-5.3-FlashNemotron 4 340b Instruct
LMArena Text14711225
LMArena Creative Writing14421203
LMArena Multi-Turn14671214

Frequently asked questions

Is GLM-5.3-Flash better than Nemotron 4 340b Instruct?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 35.9 on the Noometry Index.

Is GLM-5.3-Flash or Nemotron 4 340b Instruct better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 35.2 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Nemotron 4 340b Instruct share?

17 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Nemotron 4 340b Instruct has 17.

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