Noometry

Model comparison

Gemma 3n E4b IT vs GLM-4.6

GLM-4.6 is the stronger model overall, scoring 40.9 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 13× 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.

Gemma 3n E4b IT Google

36.7

Rank #203 Confirmed

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GLM-4.6 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 50.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 47.4% for GLM-4.6.
  • Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • GLM-4.6 accepts more context: 205K tokens versus 33K.

Side by side

Gemma 3n E4b ITGLM-4.6
ProviderGoogleZ.ai (Zhipu)
Noometry Index36.740.9
Released2025-05-202025-09-30
WeightsOpenOpen
Context window33K205K
Max output33K131K
Input $ / M tokens$0.06$0.60
Output $ / M tokens$0.12$2.20
Results tracked1829

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Category by category

Coding GLM-4.6 leads

Gemma 3n E4b IT: 36.4 (#193), GLM-4.6: 39.9 (#137)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Coding12691449
SWE-bench Verified (bash only)—55.4%
LMArena WebDev—1339
SciCode—38.4%
ALE-Bench—340.82

Agentic & Tool Use Not comparable

Gemma 3n E4b IT: —, GLM-4.6: 32.1 (#60)

BenchmarkGemma 3n E4b ITGLM-4.6
Terminal-Bench—24.5%
Berkeley Function Calling Leaderboard—72.4%

Reasoning GLM-4.6 leads

Gemma 3n E4b IT: 19.2 (#239), GLM-4.6: 23.1 (#168)

BenchmarkGemma 3n E4b ITGLM-4.6
Kagi LLM Benchmark31.5%47.4%
LMArena Hard Prompts12841440
CritPt—1.1%

Math GLM-4.6 leads

Gemma 3n E4b IT: 32.5 (#186), GLM-4.6: 36.4 (#115)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Math12511431
FrontierMath (Feb 2025 set)—3.8%
FrontierMath Tier 4 (v1)—2.1%

Knowledge GLM-4.6 leads

Gemma 3n E4b IT: 33.6 (#193), GLM-4.6: 39.6 (#118)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Expert12451432
Vectara Hallucination Rate—9.5%

Multilingual GLM-4.6 leads

Gemma 3n E4b IT: 43.5 (#179), GLM-4.6: 53.6 (#62)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Non-English12851426
LMArena Chinese13101500
LMArena French13301459
LMArena German13121447
LMArena Japanese12741394
LMArena Korean12591401
LMArena Russian12881418
LMArena Spanish13051436

Instruction Following GLM-4.6 leads

Gemma 3n E4b IT: 66.3 (#205), GLM-4.6: 74.5 (#93)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Instruction Following12551410

Long Context GLM-4.6 leads

Gemma 3n E4b IT: 38.8 (#185), GLM-4.6: 43.4 (#91)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Longer Query12771423

Writing & Preference GLM-4.6 leads

Gemma 3n E4b IT: 50.3 (#181), GLM-4.6: 61.3 (#86)

BenchmarkGemma 3n E4b ITGLM-4.6
LMArena Text13061440
LMArena Creative Writing12871411
LMArena Multi-Turn12761427
EQ-Bench Creative Writing—1411

Frequently asked questions

Is Gemma 3n E4b IT better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 40.9 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 13× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Which is cheaper, Gemma 3n E4b IT or GLM-4.6?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is Gemma 3n E4b IT or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 36.4 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 33K.

How many benchmarks do Gemma 3n E4b IT and GLM-4.6 share?

18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GLM-4.6 has 29.

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