Model comparison

GLM-4.6V vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.3 on the Noometry Index. GLM-4.6V costs 2.3× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified October 12, 2026. 11 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Mistral Large 4

Mistral AI

43.1

Rank #99 Confirmed

Summary

They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 2 categories and Mistral Large 4 in 5 categories; 7 gaps are clear of the uncertainty.
The widest gap is in coding, where Mistral Large 4 leads 48.6 to 40.9.
GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
Mistral Large 4 accepts more context: 1.05M tokens versus 128K.
GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6V and Mistral Large 4 specifications
	GLM-4.6V	Mistral Large 4
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	41.3	43.1
Released	2025-12-08	2026-10-06
Weights	Open	Proprietary
Context window	128K	1.05M
Max output	33K	262K
Input $ / M tokens	$0.30	$0.68
Output $ / M tokens	$0.90	$2.09
Results tracked	12	15

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Mistral Large 4 leads

GLM-4.6V: 40.9 (#128), Mistral Large 4: 48.6 (#57)

Coding benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Coding	1390	1475
LMArena WebDev	—	1541

Reasoning GLM-4.6V leads

GLM-4.6V: 27.6 (#115), Mistral Large 4: 22.5 (#192)

Reasoning benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Hard Prompts	1368	1444
NYT Connections (extended)	—	27.4%

Math Not comparable

GLM-4.6V: —, Mistral Large 4: 40.4 (#91)

Math benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Math	—	1488

Knowledge GLM-4.6V leads

GLM-4.6V: 38.0 (#149), Mistral Large 4: 36.6 (#166)

Knowledge benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Expert	1371	1447
SimpleQA Verified	—	20%

Multimodal Not comparable

GLM-4.6V: 34.8 (#90), Mistral Large 4: —

Multimodal benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Vision	1164	—

Multilingual Mistral Large 4 leads

GLM-4.6V: 48.6 (#141), Mistral Large 4: 52.6 (#82)

Multilingual benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Non-English	1359	1415
LMArena Chinese	1425	1491
LMArena Russian	1340	1414

Instruction Following Mistral Large 4 leads

GLM-4.6V: 71.4 (#151), Mistral Large 4: 75.0 (#76)

Instruction Following benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Instruction Following	1352	1424

Long Context Mistral Large 4 leads

GLM-4.6V: 41.3 (#143), Mistral Large 4: 43.6 (#89)

Long Context benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Longer Query	1358	1429

Writing & Preference Mistral Large 4 leads

GLM-4.6V: 56.6 (#137), Mistral Large 4: 60.4 (#97)

Writing & Preference benchmarks
Benchmark	GLM-4.6V	Mistral Large 4
LMArena Text	1377	1427
LMArena Creative Writing	1347	1361
LMArena Multi-Turn	1360	1424

Frequently asked questions

Is GLM-4.6V better than Mistral Large 4?

Which is cheaper, GLM-4.6V or Mistral Large 4?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GLM-4.6V or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 128K.

How many benchmarks do GLM-4.6V and Mistral Large 4 share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Large 4 has 15.