Model comparison

Gemma 3 4B vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 41.3 to 28.1 on the Noometry Index. Gemma 3 4B costs 9.0× 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 4B

Google

28.1

Rank #326 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

They share 10 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GLM-4.6V in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 11.8.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Gemma 3 4B accepts more context: 131K tokens versus 128K.

Side by side

Gemma 3 4B and GLM-4.6V specifications
	Gemma 3 4B	GLM-4.6V
Provider	Google	Z.ai (Zhipu)
Noometry Index	28.1	41.3
Released	2025-03-12	2025-12-08
Weights	Open	Open
Context window	131K	128K
Max output	4K	33K
Input $ / M tokens	$0.04	$0.30
Output $ / M tokens	$0.08	$0.90
Results tracked	22	12

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Category by category

Coding GLM-4.6V leads

Gemma 3 4B: 35.9 (#215), GLM-4.6V: 40.9 (#128)

Coding benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Coding	1230	1390

Agentic & Tool Use Not comparable

Gemma 3 4B: 20.9 (#142), GLM-4.6V: —

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
Berkeley Function Calling Leaderboard	19.6%	—

Reasoning GLM-4.6V leads

Gemma 3 4B: 13.2 (#335), GLM-4.6V: 27.6 (#115)

Reasoning benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Hard Prompts	1253	1368
Kagi LLM Benchmark	25.2%	—
Chess Puzzles	0%	—
DTBench	50.9%	—
LMCA	2.8%	—
Epoch Capabilities Index	116.02	—

Math Not comparable

Gemma 3 4B: 16.8 (#292), GLM-4.6V: —

Math benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
OTIS Mock AIME 2024-2025	7.5%	—
LMArena Math	1239	—

Knowledge GLM-4.6V leads

Gemma 3 4B: 11.8 (#299), GLM-4.6V: 38.0 (#149)

Knowledge benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Expert	1223	1371
GPQA Diamond	23.2%	—
Vectara Hallucination Rate	6.4%	—

Multimodal Not comparable

Gemma 3 4B: —, GLM-4.6V: 34.8 (#90)

Multimodal benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Vision	—	1164

Multilingual GLM-4.6V leads

Gemma 3 4B: 42.5 (#194), GLM-4.6V: 48.6 (#141)

Multilingual benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Non-English	1273	1359
LMArena Russian	1294	1340
LMArena Chinese	—	1425
LMArena German	1281	—

Instruction Following GLM-4.6V leads

Gemma 3 4B: 65.2 (#225), GLM-4.6V: 71.4 (#151)

Instruction Following benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Instruction Following	1239	1352

Long Context GLM-4.6V leads

Gemma 3 4B: 38.7 (#194), GLM-4.6V: 41.3 (#143)

Long Context benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Longer Query	1273	1358

Writing & Preference GLM-4.6V leads

Gemma 3 4B: 42.0 (#239), GLM-4.6V: 56.6 (#137)

Writing & Preference benchmarks
Benchmark	Gemma 3 4B	GLM-4.6V
LMArena Text	1291	1377
LMArena Creative Writing	1271	1347
LMArena Multi-Turn	1255	1360
EQ-Bench Creative Writing	1068	—

Frequently asked questions

Is Gemma 3 4B better than GLM-4.6V?

Which is cheaper, Gemma 3 4B or GLM-4.6V?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is Gemma 3 4B or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 128K.

How many benchmarks do Gemma 3 4B and GLM-4.6V share?

10 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GLM-4.6V has 12.