Model comparison

GLM-4.7-Flash vs Nemotron 3 Super

Nemotron 3 Super is the stronger model overall, scoring 40.1 to 38.8 on the Noometry Index.

Last verified . 15 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Nemotron 3 Super NVIDIA

40.1

Rank #153 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GLM-4.7-Flash scores higher in 2 categories and Nemotron 3 Super in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Nemotron 3 Super leads 55.9 to 47.4.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.08 / $0.45 for Nemotron 3 Super.
  • Nemotron 3 Super accepts more context: 262K tokens versus 200K.

Side by side

GLM-4.7-Flash and Nemotron 3 Super specifications
GLM-4.7-FlashNemotron 3 Super
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index38.840.1
Released2026-01-192026-03-11
WeightsOpenOpen
Context window200K262K
Max output131K131K
Input $ / M tokens$0.06$0.08
Output $ / M tokens$0.40$0.45
Results tracked2121

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Nemotron 3 Super: 39.4 (#158)

Coding benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Coding13831403
SciCode—36%
WeirdML—38%
ALE-Bench—213.9

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), Nemotron 3 Super: 18.7 (#276)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Hard Prompts13561386
NYT Connections (extended)—15.4%
CritPt—3.1%
Chess Puzzles0%—

Math Nemotron 3 Super leads

GLM-4.7-Flash: 36.1 (#173), Nemotron 3 Super: 39.6 (#101)

Math benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Math13551380
MathArena Final-Answer Competitions—60.4%
OTIS Mock AIME 2024-202558.3%—

Knowledge Nemotron 3 Super leads

GLM-4.7-Flash: 35.5 (#184), Nemotron 3 Super: 38.9 (#139)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Expert13571398
GPQA Diamond60.5%—
Vectara Hallucination Rate9.3%—

Multilingual Nemotron 3 Super leads

GLM-4.7-Flash: 46.5 (#158), Nemotron 3 Super: 48.4 (#144)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Non-English13301355
LMArena Chinese14031432
LMArena French13321405
LMArena German13371341
LMArena Russian13321336
LMArena Spanish13501417
LMArena Korean1283—

Instruction Following Nemotron 3 Super leads

GLM-4.7-Flash: 70.1 (#167), Nemotron 3 Super: 71.2 (#154)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Instruction Following13271347

Long Context Too close to call

GLM-4.7-Flash: 40.9 (#148), Nemotron 3 Super: 41.5 (#139)

Long Context benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Longer Query13451362

Writing & Preference Nemotron 3 Super leads

GLM-4.7-Flash: 47.4 (#210), Nemotron 3 Super: 55.9 (#140)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashNemotron 3 Super
LMArena Text13511378
LMArena Creative Writing12971317
LMArena Multi-Turn13421369
EQ-Bench Creative Writing1125—

Frequently asked questions

Is GLM-4.7-Flash better than Nemotron 3 Super?

Nemotron 3 Super is the stronger model overall, scoring 40.1 to 38.8 on the Noometry Index.

Which is cheaper, GLM-4.7-Flash or Nemotron 3 Super?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Nemotron 3 Super lists at $0.08 and $0.45.

Is GLM-4.7-Flash or Nemotron 3 Super better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 39.4 in the Noometry coding category.

Which has the bigger context window?

Nemotron 3 Super does, with 262K tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Nemotron 3 Super share?

15 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Nemotron 3 Super has 21.

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