Model comparison

GLM-4.5V vs MiniMax-M2.1

GLM-4.5V and MiniMax-M2.1 score almost the same on the Noometry Index (39.8 vs 38.9), so choose on price, context window or the category you care about most.

Last verified October 11, 2026. 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

MiniMax-M2.1

MiniMax

38.9

Rank #178 Confirmed

Summary

They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and MiniMax-M2.1 in 7 categories; 5 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GLM-4.5V leads 27.4 to 16.6.
MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
MiniMax-M2.1 accepts more context: 205K tokens versus 64K.

Side by side

GLM-4.5V and MiniMax-M2.1 specifications
	GLM-4.5V	MiniMax-M2.1
Provider	Z.ai (Zhipu)	MiniMax
Noometry Index	39.8	38.9
Released	2025-08-11	2025-12-23
Weights	Open	Open
Context window	64K	205K
Max output	16K	131K
Input $ / M tokens	$0.60	$0.30
Output $ / M tokens	$1.80	$1.20
Results tracked	15	22

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Category by category

Coding Too close to call

GLM-4.5V: 39.5 (#155), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Coding	1347	1421
LMArena WebDev	—	1384
ALE-Bench	—	623.83

Agentic & Tool Use Not comparable

GLM-4.5V: —, MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
Terminal-Bench	—	36.6%

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Hard Prompts	1334	1411
Kagi LLM Benchmark	59.8%	—
NYT Connections (extended)	—	11.2%

Math Too close to call

GLM-4.5V: 37.4 (#159), MiniMax-M2.1: 38.3 (#138)

Math benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Math	1354	1397

Knowledge Too close to call

GLM-4.5V: 37.5 (#156), MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Expert	1353	1431
Vectara Hallucination Rate	—	11.8%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), MiniMax-M2.1: —

Multimodal benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Vision	1154	—

Multilingual MiniMax-M2.1 leads

GLM-4.5V: 44.6 (#177), MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Non-English	1303	1378
LMArena Chinese	1337	1430
LMArena Russian	1298	1387
LMArena Spanish	1336	1397
LMArena French	—	1404
LMArena German	—	1381
LMArena Japanese	—	1287
LMArena Korean	—	1298

Instruction Following MiniMax-M2.1 leads

GLM-4.5V: 69.2 (#175), MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Instruction Following	1311	1400

Long Context MiniMax-M2.1 leads

GLM-4.5V: 39.6 (#171), MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Longer Query	1304	1416

Writing & Preference MiniMax-M2.1 leads

GLM-4.5V: 52.5 (#170), MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
Benchmark	GLM-4.5V	MiniMax-M2.1
LMArena Text	1333	1392
LMArena Creative Writing	1295	1361
LMArena Multi-Turn	1332	1396

Frequently asked questions

Is GLM-4.5V better than MiniMax-M2.1?

GLM-4.5V and MiniMax-M2.1 score almost the same on the Noometry Index (39.8 vs 38.9), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.5V or MiniMax-M2.1?

MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or MiniMax-M2.1 better for coding?

They score almost the same on coding (39.5 vs 40.4); test both on your own repository before choosing.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 64K.

How many benchmarks do GLM-4.5V and MiniMax-M2.1 share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiniMax-M2.1 has 22.