Model comparison

GLM-5V-Turbo vs Qwen3.5-9B

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 33.8 on the Noometry Index. Qwen3.5-9B costs 17× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified October 12, 2026. 0 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Qwen3.5-9B

Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 23.1.
Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
Qwen3.5-9B accepts more context: 262K tokens versus 200K.
Qwen3.5-9B has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and Qwen3.5-9B specifications
	GLM-5V-Turbo	Qwen3.5-9B
Provider	Z.ai (Zhipu)	Alibaba (Qwen)
Noometry Index	43.8	33.8
Released	2026-04-01	2026-02-23
Weights	Proprietary	Open
Context window	200K	262K
Max output	131K	66K
Input $ / M tokens	$1.20	$0.10
Output $ / M tokens	$4	$0.15
Results tracked	19	10

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 42.1 (#111), Qwen3.5-9B: 35.9 (#217)

Coding benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena WebDev	1401	—
SciCode	—	27.5%
LMArena Coding	1466	—

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, Qwen3.5-9B: 14.5 (#151)

Agentic & Tool Use benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
Terminal-Bench	—	9.2%

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), Qwen3.5-9B: 23.1 (#182)

Reasoning benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
CritPt	—	0.3%
Chess Puzzles	—	12%
LMArena Hard Prompts	1443	—
DTBench	—	71.2%
LMCA	—	24.5%
Epoch Capabilities Index	—	139.46

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 39.4 (#106), Qwen3.5-9B: 34.8 (#192)

Math benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
MathArena Final-Answer Competitions	—	48.5%
OTIS Mock AIME 2024-2025	—	61.7%
LMArena Math	1441	—

Knowledge Qwen3.5-9B leads

GLM-5V-Turbo: 40.6 (#117), Qwen3.5-9B: 46.0 (#84)

Knowledge benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
GPQA Diamond	—	79%
LMArena Expert	1452	—

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), Qwen3.5-9B: —

Multimodal benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena Vision	1264	—
LMArena Document	1416	—

Multilingual Not comparable

GLM-5V-Turbo: 53.0 (#73), Qwen3.5-9B: —

Multilingual benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena Non-English	1420	—
LMArena Chinese	1488	—
LMArena French	1444	—
LMArena German	1423	—
LMArena Korean	1396	—
LMArena Russian	1431	—
LMArena Spanish	1450	—

Instruction Following Not comparable

GLM-5V-Turbo: 75.0 (#80), Qwen3.5-9B: —

Instruction Following benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena Instruction Following	1423	—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#80), Qwen3.5-9B: —

Long Context benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena Longer Query	1438	—

Writing & Preference Not comparable

GLM-5V-Turbo: 62.5 (#73), Qwen3.5-9B: —

Writing & Preference benchmarks
Benchmark	GLM-5V-Turbo	Qwen3.5-9B
LMArena Text	1437	—
LMArena Creative Writing	1416	—
LMArena Multi-Turn	1432	—

Frequently asked questions

Is GLM-5V-Turbo better than Qwen3.5-9B?

Which is cheaper, GLM-5V-Turbo or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or Qwen3.5-9B better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-9B does, with 262K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Qwen3.5-9B share?

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3.5-9B has 10.