Model comparison

GLM-4.5 vs MiniMax-M2.1

GLM-4.5 is the stronger model overall, scoring 42.0 to 38.9 on the Noometry Index. MiniMax-M2.1 costs 1.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified October 11, 2026. 18 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

MiniMax-M2.1

MiniMax

38.9

Rank #178 Confirmed

Summary

They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and MiniMax-M2.1 in 3 categories; 5 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 16.6.
MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
MiniMax-M2.1 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.5 and MiniMax-M2.1 specifications
	GLM-4.5	MiniMax-M2.1
Provider	Z.ai (Zhipu)	MiniMax
Noometry Index	42.0	38.9
Released	2025-07-27	2025-12-23
Weights	Open	Open
Context window	131K	205K
Max output	98K	131K
Input $ / M tokens	$0.60	$0.30
Output $ / M tokens	$2.20	$1.20
Results tracked	27	22

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Coding	1434	1421
ALE-Bench	344.82	623.83
SWE-bench Verified (bash only)	54.2%	—
LMArena WebDev	—	1384
WeirdML	40.6%	—
AlgoTune	1.52	—

Agentic & Tool Use Not comparable

GLM-4.5: —, MiniMax-M2.1: 27.9 (#98)

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

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Hard Prompts	1429	1411
Kagi LLM Benchmark	57.9%	—
NYT Connections (extended)	—	11.2%

Math Too close to call

GLM-4.5: 39.0 (#116), MiniMax-M2.1: 38.3 (#138)

Math benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Math	1427	1397

Knowledge MiniMax-M2.1 leads

GLM-4.5: 35.9 (#179), MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Expert	1433	1431
Humanity's Last Exam	8.3%	—
Confabulations	11.3%	—
Vectara Hallucination Rate	—	11.8%

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Non-English	1417	1378
LMArena Chinese	1465	1430
LMArena French	1418	1404
LMArena German	1407	1381
LMArena Japanese	1415	1287
LMArena Korean	1380	1298
LMArena Russian	1414	1387
LMArena Spanish	1454	1397

Instruction Following Too close to call

GLM-4.5: 74.1 (#104), MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Instruction Following	1404	1400

Long Context MiniMax-M2.1 leads

GLM-4.5: 38.2 (#201), MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Longer Query	1412	1416
Fiction.LiveBench	58.3%	—

Writing & Preference Too close to call

GLM-4.5: 57.5 (#127), MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
Benchmark	GLM-4.5	MiniMax-M2.1
LMArena Text	1430	1392
LMArena Creative Writing	1395	1361
LMArena Multi-Turn	1415	1396
Short-Story Creative Writing	73.4%	—
EQ-Bench Creative Writing	1343	—

Frequently asked questions

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

Which is cheaper, GLM-4.5 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-4.5 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 131K.

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

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax-M2.1 has 22.