Model comparison

GLM-4.6V vs Mistral Small 3.2

GLM-4.6V is the stronger model overall, scoring 40.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 3.4× 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. 0 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Mistral Small 3.2

Mistral AI

30.8

Rank #271 Confirmed

Summary

The widest gap is in writing & preference, where GLM-4.6V leads 56.8 to 45.1.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Mistral Small 3.2 accepts more context: 256K tokens versus 128K.

Side by side

GLM-4.6V and Mistral Small 3.2 specifications
	GLM-4.6V	Mistral Small 3.2
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	40.9	30.8
Released	2025-12-08	2025-06-20
Weights	Open	Open
Context window	128K	256K
Max output	33K	16K
Input $ / M tokens	$0.30	$0.0938
Output $ / M tokens	$0.90	$0.25
Results tracked	12	6

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

Category by category

Coding Not comparable

GLM-4.6V: 40.2 (#128), Mistral Small 3.2: —

Coding benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Coding	1390	—

Reasoning GLM-4.6V leads

GLM-4.6V: 26.5 (#117), Mistral Small 3.2: 17.5 (#282)

Reasoning benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
Kagi LLM Benchmark	—	40.4%
Chess Puzzles	—	1%
LMArena Hard Prompts	1368	—
Epoch Capabilities Index	—	131.73

Math Not comparable

GLM-4.6V: —, Mistral Small 3.2: 24.9 (#251)

Math benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
OTIS Mock AIME 2024-2025	—	30.3%

Knowledge GLM-4.6V leads

GLM-4.6V: 37.4 (#148), Mistral Small 3.2: 26.8 (#249)

Knowledge benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
GPQA Diamond	—	49.1%
LMArena Expert	1372	—

Multimodal Not comparable

GLM-4.6V: 34.2 (#83), Mistral Small 3.2: —

Multimodal benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Vision	1164	—

Multilingual Not comparable

GLM-4.6V: 48.8 (#135), Mistral Small 3.2: —

Multilingual benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Non-English	1359	—
LMArena Chinese	1426	—
LMArena Russian	1341	—

Instruction Following Not comparable

GLM-4.6V: 71.6 (#145), Mistral Small 3.2: —

Instruction Following benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Instruction Following	1351	—

Long Context Not comparable

GLM-4.6V: 41.3 (#138), Mistral Small 3.2: —

Long Context benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Longer Query	1358	—

Writing & Preference GLM-4.6V leads

GLM-4.6V: 56.8 (#132), Mistral Small 3.2: 45.1 (#219)

Writing & Preference benchmarks
Benchmark	GLM-4.6V	Mistral Small 3.2
LMArena Text	1377	—
LMArena Creative Writing	1347	—
EQ-Bench Creative Writing	—	1255
LMArena Multi-Turn	1359	—

Frequently asked questions

Is GLM-4.6V better than Mistral Small 3.2?

Which is cheaper, GLM-4.6V or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

How many benchmarks do GLM-4.6V and Mistral Small 3.2 share?

0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Small 3.2 has 6.