Model comparison

Gemma 3 4B vs GLM-4.5V

GLM-4.5V is the stronger model overall, scoring 39.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 18× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified October 10, 2026. 12 shared benchmarks.

Gemma 3 4B

Google

28.1

Rank #326 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Summary

They share 12 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GLM-4.5V in 8 categories; 7 gaps are clear of the uncertainty.
The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 11.8.
The biggest single-benchmark swing is Kagi LLM Benchmark: 25.2% for Gemma 3 4B and 59.8% for GLM-4.5V.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
Gemma 3 4B accepts more context: 131K tokens versus 64K.

Side by side

Gemma 3 4B and GLM-4.5V specifications
	Gemma 3 4B	GLM-4.5V
Provider	Google	Z.ai (Zhipu)
Noometry Index	28.1	39.8
Released	2025-03-12	2025-08-11
Weights	Open	Open
Context window	131K	64K
Max output	4K	16K
Input $ / M tokens	$0.04	$0.60
Output $ / M tokens	$0.08	$1.80
Results tracked	22	15

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Category by category

Coding GLM-4.5V leads

Gemma 3 4B: 35.9 (#215), GLM-4.5V: 39.5 (#155)

Coding benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Coding	1230	1347

Agentic & Tool Use Not comparable

Gemma 3 4B: 20.9 (#142), GLM-4.5V: —

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
Berkeley Function Calling Leaderboard	19.6%	—

Reasoning GLM-4.5V leads

Gemma 3 4B: 13.2 (#335), GLM-4.5V: 27.4 (#119)

Reasoning benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
Kagi LLM Benchmark	25.2%	59.8%
LMArena Hard Prompts	1253	1334
Chess Puzzles	0%	—
DTBench	50.9%	—
LMCA	2.8%	—
Epoch Capabilities Index	116.02	—

Math GLM-4.5V leads

Gemma 3 4B: 16.8 (#292), GLM-4.5V: 37.4 (#159)

Math benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Math	1239	1354
OTIS Mock AIME 2024-2025	7.5%	—

Knowledge GLM-4.5V leads

Gemma 3 4B: 11.8 (#299), GLM-4.5V: 37.5 (#156)

Knowledge benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Expert	1223	1353
GPQA Diamond	23.2%	—
Vectara Hallucination Rate	6.4%	—

Multimodal Not comparable

Gemma 3 4B: —, GLM-4.5V: 34.3 (#92)

Multimodal benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Vision	—	1154

Multilingual GLM-4.5V leads

Gemma 3 4B: 42.5 (#194), GLM-4.5V: 44.6 (#177)

Multilingual benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Non-English	1273	1303
LMArena Russian	1294	1298
LMArena Chinese	—	1337
LMArena German	1281	—
LMArena Spanish	—	1336

Instruction Following GLM-4.5V leads

Gemma 3 4B: 65.2 (#225), GLM-4.5V: 69.2 (#175)

Instruction Following benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Instruction Following	1239	1311

Long Context Too close to call

Gemma 3 4B: 38.7 (#194), GLM-4.5V: 39.6 (#171)

Long Context benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Longer Query	1273	1304

Writing & Preference GLM-4.5V leads

Gemma 3 4B: 42.0 (#239), GLM-4.5V: 52.5 (#170)

Writing & Preference benchmarks
Benchmark	Gemma 3 4B	GLM-4.5V
LMArena Text	1291	1333
LMArena Creative Writing	1271	1295
LMArena Multi-Turn	1255	1332
EQ-Bench Creative Writing	1068	—

Frequently asked questions

Is Gemma 3 4B better than GLM-4.5V?

Which is cheaper, Gemma 3 4B or GLM-4.5V?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is Gemma 3 4B or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 64K.

How many benchmarks do Gemma 3 4B and GLM-4.5V share?

12 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GLM-4.5V has 15.