Model comparison

GLM-4.5V vs Hy3

Hy3 is the stronger model overall, scoring 44.2 to 39.8 on the Noometry Index.

Last verified October 11, 2026. 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Hy3

Tencent

44.2

Rank #79 Confirmed

Summary

They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Hy3 in 7 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Hy3 leads 62.2 to 52.5.
Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
Hy3 accepts more context: 262K tokens versus 64K.

Side by side

GLM-4.5V and Hy3 specifications
	GLM-4.5V	Hy3
Provider	Z.ai (Zhipu)	Tencent
Noometry Index	39.8	44.2
Released	2025-08-11	2026-07-06
Weights	Open	Open
Context window	64K	262K
Max output	16K	128K
Input $ / M tokens	$0.60	$0.13
Output $ / M tokens	$1.80	$0.53
Results tracked	15	19

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Category by category

Coding Hy3 leads

GLM-4.5V: 39.5 (#155), Hy3: 46.8 (#63)

Coding benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Coding	1347	1464
LMArena WebDev	—	1508

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), Hy3: 26.1 (#136)

Reasoning benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Hard Prompts	1334	1447
Kagi LLM Benchmark	59.8%	—
NYT Connections (extended)	—	41.2%

Math Hy3 leads

GLM-4.5V: 37.4 (#159), Hy3: 40.1 (#93)

Math benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Math	1354	1475

Knowledge Hy3 leads

GLM-4.5V: 37.5 (#156), Hy3: 40.8 (#114)

Knowledge benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Expert	1353	1460

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), Hy3: —

Multimodal benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Vision	1154	—

Multilingual Hy3 leads

GLM-4.5V: 44.6 (#177), Hy3: 53.5 (#65)

Multilingual benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Non-English	1303	1426
LMArena Chinese	1337	1493
LMArena Russian	1298	1432
LMArena Spanish	1336	1456
LMArena French	—	1461
LMArena German	—	1439
LMArena Japanese	—	1392
LMArena Korean	—	1395

Instruction Following Hy3 leads

GLM-4.5V: 69.2 (#175), Hy3: 75.1 (#70)

Instruction Following benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Instruction Following	1311	1426

Long Context Hy3 leads

GLM-4.5V: 39.6 (#171), Hy3: 44.1 (#75)

Long Context benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Longer Query	1304	1442

Writing & Preference Hy3 leads

GLM-4.5V: 52.5 (#170), Hy3: 62.2 (#81)

Writing & Preference benchmarks
Benchmark	GLM-4.5V	Hy3
LMArena Text	1333	1439
LMArena Creative Writing	1295	1402
LMArena Multi-Turn	1332	1436

Frequently asked questions

Is GLM-4.5V better than Hy3?

Hy3 is the stronger model overall, scoring 44.2 to 39.8 on the Noometry Index.

Which is cheaper, GLM-4.5V or Hy3?

Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Hy3 better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 64K.

How many benchmarks do GLM-4.5V and Hy3 share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Hy3 has 19.