Model comparison

GLM-4.6V vs Nemotron 3.5 Lightning

GLM-4.6V is the stronger model overall, scoring 40.9 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 5.3× 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 3.5 Lightning NVIDIA

39.3

Rank #156 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 7 categories and Nemotron 3.5 Lightning in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6V leads 56.8 to 48.5.
  • Nemotron 3.5 Lightning is cheaper at $0.06 / $0.16 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • Nemotron 3.5 Lightning accepts more context: 262K tokens versus 128K.

Side by side

GLM-4.6V and Nemotron 3.5 Lightning specifications
GLM-4.6VNemotron 3.5 Lightning
ProviderZ.ai (Zhipu)NVIDIA
Noometry Index40.939.3
Released2025-12-082026-08-11
WeightsOpenOpen
Context window128K262K
Max output33K262K
Input $ / M tokens$0.30$0.06
Output $ / M tokens$0.90$0.16
Results tracked1218

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Category by category

Coding Too close to call

GLM-4.6V: 40.2 (#128), Nemotron 3.5 Lightning: 39.6 (#143)

Coding benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Coding13901370

Reasoning Too close to call

GLM-4.6V: 26.5 (#117), Nemotron 3.5 Lightning: 25.7 (#128)

Reasoning benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Hard Prompts13681335

Math Not comparable

GLM-4.6V: —, Nemotron 3.5 Lightning: 34.7 (#156)

Math benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Math—1355

Knowledge Too close to call

GLM-4.6V: 37.4 (#148), Nemotron 3.5 Lightning: 36.9 (#154)

Knowledge benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Expert13721354

Multimodal Not comparable

GLM-4.6V: 34.2 (#83), Nemotron 3.5 Lightning: —

Multimodal benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Vision1164—

Multilingual GLM-4.6V leads

GLM-4.6V: 48.8 (#135), Nemotron 3.5 Lightning: 44.0 (#175)

Multilingual benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Non-English13591292
LMArena Chinese14261356
LMArena Russian13411257
LMArena French—1369
LMArena German—1280
LMArena Japanese—1213
LMArena Korean—1233
LMArena Spanish—1321

Instruction Following GLM-4.6V leads

GLM-4.6V: 71.6 (#145), Nemotron 3.5 Lightning: 69.8 (#166)

Instruction Following benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Instruction Following13511317

Long Context GLM-4.6V leads

GLM-4.6V: 41.3 (#138), Nemotron 3.5 Lightning: 39.9 (#160)

Long Context benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Longer Query13581312

Writing & Preference GLM-4.6V leads

GLM-4.6V: 56.8 (#132), Nemotron 3.5 Lightning: 48.5 (#198)

Writing & Preference benchmarks
BenchmarkGLM-4.6VNemotron 3.5 Lightning
LMArena Text13771324
LMArena Creative Writing13471254
LMArena Multi-Turn13591327
EQ-Bench Creative Writing—1280

Frequently asked questions

Is GLM-4.6V better than Nemotron 3.5 Lightning?

GLM-4.6V is the stronger model overall, scoring 40.9 to 39.3 on the Noometry Index. Nemotron 3.5 Lightning costs 5.3× 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 3.5 Lightning?

Nemotron 3.5 Lightning is cheaper. It lists at $0.06 per million input tokens and $0.16 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is GLM-4.6V or Nemotron 3.5 Lightning better for coding?

They score almost the same on coding (40.2 vs 39.6); test both on your own repository before choosing.

Which has the bigger context window?

Nemotron 3.5 Lightning does, with 262K tokens against 128K.

How many benchmarks do GLM-4.6V and Nemotron 3.5 Lightning share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Nemotron 3.5 Lightning has 18.

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