Model comparison

GLM-4.6V vs Mistral Small 3

GLM-4.6V is the stronger model overall, scoring 41.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 7.8× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Last verified October 10, 2026. 11 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Mistral Small 3

Mistral AI

31.2

Rank #278 Confirmed

Summary

They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 7 categories and Mistral Small 3 in 0 categories; 7 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 32.2.
Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
GLM-4.6V accepts more context: 128K tokens versus 33K.

Side by side

GLM-4.6V and Mistral Small 3 specifications
	GLM-4.6V	Mistral Small 3
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	41.3	31.2
Released	2025-12-08	2025-01-30
Weights	Open	Open
Context window	128K	33K
Max output	33K	16K
Input $ / M tokens	$0.30	$0.05
Output $ / M tokens	$0.90	$0.08
Results tracked	12	24

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Category by category

Coding GLM-4.6V leads

GLM-4.6V: 40.9 (#128), Mistral Small 3: 36.5 (#207)

Coding benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Coding	1390	1246
BigCodeBench Instruct	—	45.3%
BigCodeBench Complete	—	50.4%

Reasoning GLM-4.6V leads

GLM-4.6V: 27.6 (#115), Mistral Small 3: 18.9 (#273)

Reasoning benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Hard Prompts	1368	1233
Chess Puzzles	—	0%
Epoch Capabilities Index	—	127.07

Math Not comparable

GLM-4.6V: —, Mistral Small 3: 16.3 (#295)

Math benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
OTIS Mock AIME 2024-2025	—	6.7%
LMArena Math	—	1240

Knowledge GLM-4.6V leads

GLM-4.6V: 38.0 (#149), Mistral Small 3: 25.1 (#263)

Knowledge benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Expert	1371	1202
GPQA Diamond	—	47.3%
Confabulations	—	25.2%

Multimodal Not comparable

GLM-4.6V: 34.8 (#90), Mistral Small 3: —

Multimodal benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Vision	1164	—

Multilingual GLM-4.6V leads

GLM-4.6V: 48.6 (#141), Mistral Small 3: 37.3 (#236)

Multilingual benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Non-English	1359	1198
LMArena Chinese	1425	1204
LMArena Russian	1340	1216
LMArena French	—	1203
LMArena German	—	1211
LMArena Japanese	—	1111
LMArena Korean	—	1188

Instruction Following GLM-4.6V leads

GLM-4.6V: 71.4 (#151), Mistral Small 3: 63.7 (#229)

Instruction Following benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Instruction Following	1352	1214

Long Context GLM-4.6V leads

GLM-4.6V: 41.3 (#143), Mistral Small 3: 37.8 (#211)

Long Context benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Longer Query	1358	1246

Writing & Preference GLM-4.6V leads

GLM-4.6V: 56.6 (#137), Mistral Small 3: 32.2 (#280)

Writing & Preference benchmarks
Benchmark	GLM-4.6V	Mistral Small 3
LMArena Text	1377	1234
LMArena Creative Writing	1347	1195
LMArena Multi-Turn	1360	1217
EQ-Bench Creative Writing	—	707

Frequently asked questions

Is GLM-4.6V better than Mistral Small 3?

Which is cheaper, GLM-4.6V or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is GLM-4.6V or Mistral Small 3 better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6V does, with 128K tokens against 33K.

How many benchmarks do GLM-4.6V and Mistral Small 3 share?

11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Small 3 has 24.