Model comparison

Gemma 3 12B vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 40.9 to 31.8 on the Noometry Index. Gemma 3 12B costs 6.0× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Last verified October 10, 2026. 10 shared benchmarks.

Gemma 3 12B

Google

31.8

Rank #255 Confirmed

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Summary

They share 10 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GLM-4.6V leads 26.5 to 15.2.
Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Gemma 3 12B accepts more context: 131K tokens versus 128K.

Side by side

Gemma 3 12B and GLM-4.6V specifications
	Gemma 3 12B	GLM-4.6V
Provider	Google	Z.ai (Zhipu)
Noometry Index	31.8	40.9
Released	2025-03-12	2025-12-08
Weights	Open	Open
Context window	131K	128K
Max output	8K	33K
Input $ / M tokens	$0.05	$0.30
Output $ / M tokens	$0.15	$0.90
Results tracked	24	12

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Category by category

Coding GLM-4.6V leads

Gemma 3 12B: 31.2 (#276), GLM-4.6V: 40.2 (#128)

Coding benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Coding	1281	1390
SciCode	17.4%	—

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.3 (#101), GLM-4.6V: —

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
Berkeley Function Calling Leaderboard	30.4%	—

Reasoning GLM-4.6V leads

Gemma 3 12B: 15.2 (#307), GLM-4.6V: 26.5 (#117)

Reasoning benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Hard Prompts	1309	1368
CritPt	0%	—
Chess Puzzles	0%	—
DTBench	48.8%	—
LMCA	4.5%	—
Epoch Capabilities Index	123.49	—

Math Not comparable

Gemma 3 12B: 21.0 (#273), GLM-4.6V: —

Math benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
OTIS Mock AIME 2024-2025	16.7%	—
LMArena Math	1307	—

Knowledge GLM-4.6V leads

Gemma 3 12B: 26.5 (#250), GLM-4.6V: 37.4 (#148)

Knowledge benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Expert	1248	1372
GPQA Diamond	39.5%	—
Vectara Hallucination Rate	4.4%	—

Multimodal Not comparable

Gemma 3 12B: —, GLM-4.6V: 34.2 (#83)

Multimodal benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Vision	—	1164
MindCube	46.7%	—

Multilingual GLM-4.6V leads

Gemma 3 12B: 45.9 (#160), GLM-4.6V: 48.8 (#135)

Multilingual benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Non-English	1318	1359
LMArena Russian	1335	1341
LMArena Chinese	—	1426
LMArena German	1370	—

Instruction Following GLM-4.6V leads

Gemma 3 12B: 68.8 (#179), GLM-4.6V: 71.6 (#145)

Instruction Following benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Instruction Following	1299	1351

Long Context GLM-4.6V leads

Gemma 3 12B: 40.0 (#157), GLM-4.6V: 41.3 (#138)

Long Context benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Longer Query	1317	1358

Writing & Preference GLM-4.6V leads

Gemma 3 12B: 47.7 (#205), GLM-4.6V: 56.8 (#132)

Writing & Preference benchmarks
Benchmark	Gemma 3 12B	GLM-4.6V
LMArena Text	1334	1377
LMArena Creative Writing	1331	1347
LMArena Multi-Turn	1334	1359
EQ-Bench Creative Writing	1126	—

Frequently asked questions

Is Gemma 3 12B better than GLM-4.6V?

Which is cheaper, Gemma 3 12B or GLM-4.6V?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is Gemma 3 12B or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 31.2 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 12B does, with 131K tokens against 128K.

How many benchmarks do Gemma 3 12B and GLM-4.6V share?

10 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GLM-4.6V has 12.