Model comparison

GLM-4.5V vs Ministral 8B

GLM-4.5V is the stronger model overall, scoring 39.8 to 28.2 on the Noometry Index. Ministral 8B costs 6.0× 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.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Ministral 8B

Mistral AI

28.2

Rank #325 Confirmed

Summary

They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Ministral 8B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 12.6.
Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
Ministral 8B accepts more context: 262K tokens versus 64K.

Side by side

GLM-4.5V and Ministral 8B specifications
	GLM-4.5V	Ministral 8B
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	39.8	28.2
Released	2025-08-11	2024-10-01
Weights	Open	Open
Context window	64K	262K
Max output	16K	262K
Input $ / M tokens	$0.60	$0.15
Output $ / M tokens	$1.80	$0.15
Results tracked	15	17

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), Ministral 8B: 35.0 (#230)

Coding benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Coding	1347	1202

Agentic & Tool Use Not comparable

GLM-4.5V: —, Ministral 8B: 16.4 (#148)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.5V	Ministral 8B
Berkeley Function Calling Leaderboard	—	11.1%

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), Ministral 8B: 18.4 (#281)

Reasoning benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Hard Prompts	1334	1191
Kagi LLM Benchmark	59.8%	—
DTBench	—	45.7%

Math GLM-4.5V leads

GLM-4.5V: 37.4 (#159), Ministral 8B: 25.7 (#267)

Math benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Math	1354	1188
MATH Level 5	—	14.9%

Knowledge GLM-4.5V leads

GLM-4.5V: 37.5 (#156), Ministral 8B: 12.6 (#297)

Knowledge benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Expert	1353	1170
GPQA Diamond	—	27.1%
Vectara Hallucination Rate	—	7.4%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), Ministral 8B: —

Multimodal benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Vision	1154	—

Multilingual GLM-4.5V leads

GLM-4.5V: 44.6 (#177), Ministral 8B: 35.1 (#247)

Multilingual benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Non-English	1303	1165
LMArena Chinese	1337	1193
LMArena Russian	1298	1195
LMArena Spanish	1336	—

Instruction Following GLM-4.5V leads

GLM-4.5V: 69.2 (#175), Ministral 8B: 60.5 (#250)

Instruction Following benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Instruction Following	1311	1161

Long Context GLM-4.5V leads

GLM-4.5V: 39.6 (#171), Ministral 8B: 36.7 (#227)

Long Context benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Longer Query	1304	1212

Writing & Preference GLM-4.5V leads

GLM-4.5V: 52.5 (#170), Ministral 8B: 39.6 (#246)

Writing & Preference benchmarks
Benchmark	GLM-4.5V	Ministral 8B
LMArena Text	1333	1191
LMArena Creative Writing	1295	1175
LMArena Multi-Turn	1332	1166

Frequently asked questions

Is GLM-4.5V better than Ministral 8B?

Which is cheaper, GLM-4.5V or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Ministral 8B better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.0 in the Noometry coding category.

Which has the bigger context window?

Ministral 8B does, with 262K tokens against 64K.

How many benchmarks do GLM-4.5V and Ministral 8B share?

12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Ministral 8B has 17.