Model comparison

GLM-4.7-Flash vs Nemotron 3.5 Lightning

Nemotron 3.5 Lightning is the stronger model overall, scoring 40.0 to 38.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Nemotron 3.5 Lightning NVIDIA

40.0

Rank #155 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Nemotron 3.5 Lightning in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Nemotron 3.5 Lightning leads 26.8 to 20.9.
  • Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
  • Nemotron 3.5 Lightning accepts more context: 262K tokens versus 200K.

Side by side

GLM-4.7-Flash and Nemotron 3.5 Lightning specifications
GLM-4.7-FlashNemotron 3.5 Lightning
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index38.840.0
Released2026-01-192026-08-11
WeightsOpenOpen
Context window200K262K
Max output131K262K
Input $ / M tokens$0.06$0.05
Output $ / M tokens$0.40$0.20
Results tracked2118

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Category by category

Coding Too close to call

GLM-4.7-Flash: 40.6 (#135), Nemotron 3.5 Lightning: 40.4 (#141)

Coding benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Coding13831375

Reasoning Nemotron 3.5 Lightning leads

GLM-4.7-Flash: 20.9 (#229), Nemotron 3.5 Lightning: 26.8 (#127)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Hard Prompts13561337
Chess Puzzles0%—

Math Nemotron 3.5 Lightning leads

GLM-4.7-Flash: 36.1 (#173), Nemotron 3.5 Lightning: 37.5 (#155)

Math benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Math13551359
OTIS Mock AIME 2024-202558.3%—

Knowledge Nemotron 3.5 Lightning leads

GLM-4.7-Flash: 35.5 (#184), Nemotron 3.5 Lightning: 37.5 (#154)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Expert13571356
GPQA Diamond60.5%—
Vectara Hallucination Rate9.3%—

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Nemotron 3.5 Lightning: 44.0 (#180)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Non-English13301295
LMArena Chinese14031359
LMArena French13321366
LMArena German13371282
LMArena Korean12831238
LMArena Russian13321253
LMArena Spanish13501345
LMArena Japanese—1206

Instruction Following Too close to call

GLM-4.7-Flash: 70.1 (#167), Nemotron 3.5 Lightning: 69.6 (#170)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Instruction Following13271318

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#148), Nemotron 3.5 Lightning: 39.9 (#165)

Long Context benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Longer Query13451314

Writing & Preference Nemotron 3.5 Lightning leads

GLM-4.7-Flash: 47.4 (#210), Nemotron 3.5 Lightning: 48.5 (#201)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashNemotron 3.5 Lightning
LMArena Text13511327
LMArena Creative Writing12971254
EQ-Bench Creative Writing11251280
LMArena Multi-Turn13421328

Frequently asked questions

Is GLM-4.7-Flash better than Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is the stronger model overall, scoring 40.0 to 38.8 on the Noometry Index.

Which is cheaper, GLM-4.7-Flash or Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.

Is GLM-4.7-Flash or Nemotron 3.5 Lightning better for coding?

They score almost the same on coding (40.6 vs 40.4); test both on your own repository before choosing.

Which has the bigger context window?

Nemotron 3.5 Lightning does, with 262K tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Nemotron 3.5 Lightning share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Nemotron 3.5 Lightning has 18.

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