Model comparison

Gemma 4 26B A4B IT vs GLM-4.6V

Gemma 4 26B A4B IT is the stronger model overall, scoring 43.1 to 40.9 on the Noometry Index.

Last verified October 10, 2026. 12 shared benchmarks.

Gemma 4 26B A4B IT

Google

43.1

Rank #88 Confirmed

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Summary

They share 12 benchmarks with published results for both. Gemma 4 26B A4B IT scores higher in 6 categories and GLM-4.6V in 2 categories; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where Gemma 4 26B A4B IT leads 45.6 to 37.4.
Gemma 4 26B A4B IT is cheaper at $0.0765 / $0.26 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Gemma 4 26B A4B IT accepts more context: 262K tokens versus 128K.

Side by side

Gemma 4 26B A4B IT and GLM-4.6V specifications
	Gemma 4 26B A4B IT	GLM-4.6V
Provider	Google	Z.ai (Zhipu)
Noometry Index	43.1	40.9
Released	2026-04-02	2025-12-08
Weights	Open	Open
Context window	262K	128K
Max output	33K	33K
Input $ / M tokens	$0.0765	$0.30
Output $ / M tokens	$0.26	$0.90
Results tracked	28	12

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Category by category

Coding GLM-4.6V leads

Gemma 4 26B A4B IT: 38.8 (#156), GLM-4.6V: 40.2 (#128)

Coding benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Coding	1446	1390
LMArena WebDev	1359	—
SciCode	40%	—
WeirdML	35.2%	—
ALE-Bench	927.17	—

Reasoning GLM-4.6V leads

Gemma 4 26B A4B IT: 21.1 (#205), GLM-4.6V: 26.5 (#117)

Reasoning benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Hard Prompts	1438	1368
CritPt	0%	—
Chess Puzzles	6%	—
DTBench	74.9%	—
LMCA	29.7%	—
Epoch Capabilities Index	141.85	—

Math Not comparable

Gemma 4 26B A4B IT: 45.7 (#61), GLM-4.6V: —

Math benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
OTIS Mock AIME 2024-2025	82.2%	—
LMArena Math	1469	—

Knowledge Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 45.6 (#79), GLM-4.6V: 37.4 (#148)

Knowledge benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Expert	1447	1372
GPQA Diamond	73.2%	—
Vectara Hallucination Rate	5.2%	—

Multimodal Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 39.9 (#43), GLM-4.6V: 34.2 (#83)

Multimodal benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Vision	1260	1164

Multilingual Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 53.3 (#68), GLM-4.6V: 48.8 (#135)

Multilingual benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Non-English	1422	1359
LMArena Chinese	1495	1426
LMArena Russian	1434	1341
LMArena French	1459	—
LMArena Spanish	1415	—

Instruction Following Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 75.0 (#78), GLM-4.6V: 71.6 (#145)

Instruction Following benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Instruction Following	1420	1351

Long Context Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 43.6 (#87), GLM-4.6V: 41.3 (#138)

Long Context benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Longer Query	1427	1358

Writing & Preference Gemma 4 26B A4B IT leads

Gemma 4 26B A4B IT: 58.8 (#110), GLM-4.6V: 56.8 (#132)

Writing & Preference benchmarks
Benchmark	Gemma 4 26B A4B IT	GLM-4.6V
LMArena Text	1434	1377
LMArena Creative Writing	1401	1347
LMArena Multi-Turn	1442	1359
EQ-Bench Creative Writing	1305	—

Frequently asked questions

Is Gemma 4 26B A4B IT better than GLM-4.6V?

Gemma 4 26B A4B IT is the stronger model overall, scoring 43.1 to 40.9 on the Noometry Index.

Which is cheaper, Gemma 4 26B A4B IT or GLM-4.6V?

Gemma 4 26B A4B IT is cheaper. It lists at $0.0765 per million input tokens and $0.26 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is Gemma 4 26B A4B IT or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 38.8 in the Noometry coding category.

Which has the bigger context window?

Gemma 4 26B A4B IT does, with 262K tokens against 128K.

How many benchmarks do Gemma 4 26B A4B IT and GLM-4.6V share?

12 benchmarks have published results for both models. Gemma 4 26B A4B IT has 28 scored results on Noometry and GLM-4.6V has 12.