Model comparison

GLM-4.6V vs Nemotron 3 Super

GLM-4.6V is the stronger model overall, scoring 40.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 2.6× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Last verified . 11 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Nemotron 3 Super NVIDIA

39.6

Rank #147 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 5 categories and Nemotron 3 Super in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.6V leads 26.5 to 17.9.
  • Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • Nemotron 3 Super accepts more context: 262K tokens versus 128K.

Side by side

GLM-4.6V and Nemotron 3 Super specifications
GLM-4.6VNemotron 3 Super
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index40.939.6
Released2025-12-082026-03-11
WeightsOpenOpen
Context window128K262K
Max output33K131K
Input $ / M tokens$0.30$0.08
Output $ / M tokens$0.90$0.45
Results tracked1221

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Category by category

Coding GLM-4.6V leads

GLM-4.6V: 40.2 (#128), Nemotron 3 Super: 38.9 (#153)

Coding benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Coding13901403
SciCode—36%
WeirdML—38%
ALE-Bench—213.9

Reasoning GLM-4.6V leads

GLM-4.6V: 26.5 (#117), Nemotron 3 Super: 17.9 (#274)

Reasoning benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Hard Prompts13681386
NYT Connections (extended)—15.4%
CritPt—3.1%

Math Not comparable

GLM-4.6V: —, Nemotron 3 Super: 37.6 (#95)

Math benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
MathArena Final-Answer Competitions—60.4%
LMArena Math—1381

Knowledge Too close to call

GLM-4.6V: 37.4 (#148), Nemotron 3 Super: 38.2 (#136)

Knowledge benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Expert13721397

Multimodal Not comparable

GLM-4.6V: 34.2 (#83), Nemotron 3 Super: —

Multimodal benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Vision1164—

Multilingual Too close to call

GLM-4.6V: 48.8 (#135), Nemotron 3 Super: 48.6 (#139)

Multilingual benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Non-English13591356
LMArena Chinese14261430
LMArena Russian13411336
LMArena French—1404
LMArena German—1341
LMArena Spanish—1417

Instruction Following Too close to call

GLM-4.6V: 71.6 (#145), Nemotron 3 Super: 71.4 (#149)

Instruction Following benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Instruction Following13511347

Long Context Too close to call

GLM-4.6V: 41.3 (#138), Nemotron 3 Super: 41.5 (#134)

Long Context benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Longer Query13581362

Writing & Preference Too close to call

GLM-4.6V: 56.8 (#132), Nemotron 3 Super: 56.1 (#135)

Writing & Preference benchmarks
BenchmarkGLM-4.6VNemotron 3 Super
LMArena Text13771378
LMArena Creative Writing13471317
LMArena Multi-Turn13591369

Frequently asked questions

Is GLM-4.6V better than Nemotron 3 Super?

GLM-4.6V is the stronger model overall, scoring 40.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 2.6× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6V 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-4.6V lists at $0.30 and $0.90.

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

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

Nemotron 3 Super does, with 262K tokens against 128K.

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

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Nemotron 3 Super has 21.

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