Noometry

Model comparison

GLM-4.6 vs Nemotron 3 Super

GLM-4.6 is the stronger model overall, scoring 41.4 to 40.1 on the Noometry Index. Nemotron 3 Super costs 5.8× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Nemotron 3 Super NVIDIA

40.1

Rank #153 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and Nemotron 3 Super in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 55.9.
  • Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • Nemotron 3 Super accepts more context: 262K tokens versus 205K.

Side by side

GLM-4.6Nemotron 3 Super
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index41.440.1
Released2025-09-302026-03-11
WeightsOpenOpen
Context window205K262K
Max output131K131K
Input $ / M tokens$0.60$0.08
Output $ / M tokens$2.20$0.45
Results tracked2921

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Category by category

Coding Too close to call

GLM-4.6: 40.1 (#148), Nemotron 3 Super: 39.4 (#158)

BenchmarkGLM-4.6Nemotron 3 Super
SciCode38.4%36%
LMArena Coding14491403
ALE-Bench340.82213.9
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
WeirdML—38%

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Nemotron 3 Super: —

BenchmarkGLM-4.6Nemotron 3 Super
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), Nemotron 3 Super: 18.7 (#276)

BenchmarkGLM-4.6Nemotron 3 Super
CritPt1.1%3.1%
LMArena Hard Prompts14401386
Kagi LLM Benchmark47.4%—
NYT Connections (extended)—15.4%

Math Too close to call

GLM-4.6: 39.1 (#111), Nemotron 3 Super: 39.6 (#101)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Math14321380
MathArena Final-Answer Competitions—60.4%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), Nemotron 3 Super: 38.9 (#139)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Expert14311398
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), Nemotron 3 Super: 48.4 (#144)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Non-English14261355
LMArena Chinese14991432
LMArena French14591405
LMArena German14471341
LMArena Russian14191336
LMArena Spanish14361417
LMArena Japanese1393—
LMArena Korean1400—

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), Nemotron 3 Super: 71.2 (#154)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Instruction Following14101347

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), Nemotron 3 Super: 41.5 (#139)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Longer Query14221362

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), Nemotron 3 Super: 55.9 (#140)

BenchmarkGLM-4.6Nemotron 3 Super
LMArena Text14401378
LMArena Creative Writing14111317
LMArena Multi-Turn14271369
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than Nemotron 3 Super?

GLM-4.6 is the stronger model overall, scoring 41.4 to 40.1 on the Noometry Index. Nemotron 3 Super costs 5.8× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6 or Nemotron 3 Super?

Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or Nemotron 3 Super better for coding?

They score almost the same on coding (40.1 vs 39.4); test both on your own repository before choosing.

Which has the bigger context window?

Nemotron 3 Super does, with 262K tokens against 205K.

How many benchmarks do GLM-4.6 and Nemotron 3 Super share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Nemotron 3 Super has 21.

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