Noometry

Model comparison

Gemma 3 12B vs GLM-4.5V

GLM-4.5V is the stronger model overall, scoring 39.8 to 32.1 on the Noometry Index. Gemma 3 12B costs 12× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified . 11 shared benchmarks.

Gemma 3 12B Google

32.1

Rank #262 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Gemma 3 12B scores higher in 2 categories and GLM-4.5V in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5V leads 37.4 to 22.3.
  • Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • Gemma 3 12B accepts more context: 131K tokens versus 64K.

Side by side

Gemma 3 12BGLM-4.5V
ProviderGoogleZ.ai (Zhipu)
Noometry Index32.139.8
Released2025-03-122025-08-11
WeightsOpenOpen
Context window131K64K
Max output8K16K
Input $ / M tokens$0.05$0.60
Output $ / M tokens$0.15$1.80
Results tracked2415

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Category by category

Coding GLM-4.5V leads

Gemma 3 12B: 31.7 (#280), GLM-4.5V: 39.5 (#155)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Coding12811347
SciCode17.4%—

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.5 (#108), GLM-4.5V: —

BenchmarkGemma 3 12BGLM-4.5V
Berkeley Function Calling Leaderboard30.4%—

Reasoning GLM-4.5V leads

Gemma 3 12B: 15.7 (#313), GLM-4.5V: 27.4 (#119)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Hard Prompts13091334
Kagi LLM Benchmark—59.8%
CritPt0%—
Chess Puzzles0%—
DTBench48.8%—
LMCA4.5%—
Epoch Capabilities Index123.5—

Math GLM-4.5V leads

Gemma 3 12B: 22.3 (#279), GLM-4.5V: 37.4 (#159)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Math13071354
OTIS Mock AIME 2024-202516.7%—

Knowledge GLM-4.5V leads

Gemma 3 12B: 26.5 (#257), GLM-4.5V: 37.5 (#156)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Expert12481353
GPQA Diamond39.5%—
Vectara Hallucination Rate4.4%—

Multimodal Not comparable

Gemma 3 12B: —, GLM-4.5V: 34.3 (#92)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Vision—1154
MindCube46.7%—

Multilingual Gemma 3 12B leads

Gemma 3 12B: 45.7 (#165), GLM-4.5V: 44.6 (#177)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Non-English13181303
LMArena Russian13351298
LMArena Chinese—1337
LMArena German1370—
LMArena Spanish—1336

Instruction Following Too close to call

Gemma 3 12B: 68.6 (#186), GLM-4.5V: 69.2 (#175)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Instruction Following12991311

Long Context Too close to call

Gemma 3 12B: 40.0 (#162), GLM-4.5V: 39.6 (#171)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Longer Query13171304

Writing & Preference GLM-4.5V leads

Gemma 3 12B: 47.5 (#209), GLM-4.5V: 52.5 (#170)

BenchmarkGemma 3 12BGLM-4.5V
LMArena Text13341333
LMArena Creative Writing13311295
LMArena Multi-Turn13341332
EQ-Bench Creative Writing1126—

Frequently asked questions

Is Gemma 3 12B better than GLM-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.8 to 32.1 on the Noometry Index. Gemma 3 12B costs 12× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Which is cheaper, Gemma 3 12B or GLM-4.5V?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is Gemma 3 12B or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 31.7 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 12B does, with 131K tokens against 64K.

How many benchmarks do Gemma 3 12B and GLM-4.5V share?

11 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GLM-4.5V has 15.

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