Model comparison

GLM-5.3 vs MiniMax M1

GLM-5.3 is the stronger model overall, scoring 54.8 to 40.3 on the Noometry Index. MiniMax M1 costs 2.2× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

MiniMax M1

MiniMax

40.3

Rank #150 Confirmed

Summary

They share 17 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and MiniMax M1 in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where GLM-5.3 leads 62.3 to 37.5.
MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.

Side by side

GLM-5.3 and MiniMax M1 specifications
	GLM-5.3	MiniMax M1
Provider	Z.ai (Zhipu)	MiniMax
Noometry Index	54.8	40.3
Released	2026-08-14	2025-06-13
Weights	Open	Open
Context window	1M	1M
Max output	131K	40K
Input $ / M tokens	$1.40	$0.55
Output $ / M tokens	$4.40	$2.20
Results tracked	42	18

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), MiniMax M1: 39.9 (#153)

Coding benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Coding	1496	1359
DeepSWE	69%	—
FrontierCode	40.1%	—
CursorBench	42.6%	—
LMArena WebDev	1622	—
FrontierSWE	30.2%	—
SciCode	59%	—
WeirdML	75.4%	—
ALE-Bench	1,317	—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), MiniMax M1: —

Agentic & Tool Use benchmarks
Benchmark	GLM-5.3	MiniMax M1
APEX-Agents	56.6%	—
Vending-Bench 2	8,164	—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), MiniMax M1: 26.9 (#126)

Reasoning benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Hard Prompts	1489	1339
NYT Connections (extended)	74.2%	—
CritPt	19.1%	—
Chess Puzzles	21%	—
Mystery Game Puzzles	33%	—
DTBench	87.7%	—
LMCA	55.5%	—
Bench to the Future 3	0.15	—
Epoch Capabilities Index	155.61	—

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), MiniMax M1: 37.5 (#151)

Math benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Math	1489	1361
FrontierMath (Tiers 1-3)	68.8%	—
FrontierMath Tier 4	29.3%	—
OTIS Mock AIME 2024-2025	91.1%	—
ProofBench	49%	—

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#37), MiniMax M1: 36.4 (#170)

Knowledge benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Expert	1516	1317
GPQA Diamond	90.9%	—
SimpleQA Verified	41%	—

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), MiniMax M1: 45.8 (#163)

Multilingual benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Non-English	1457	1319
LMArena Chinese	1528	1360
LMArena French	1499	1370
LMArena German	1499	1350
LMArena Japanese	1453	1217
LMArena Korean	1472	1266
LMArena Russian	1463	1329
LMArena Spanish	1460	1353

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), MiniMax M1: 69.3 (#174)

Instruction Following benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Instruction Following	1477	1312

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), MiniMax M1: 41.4 (#141)

Long Context benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Longer Query	1482	1326
Fiction.LiveBench	—	69.4%

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), MiniMax M1: 53.1 (#161)

Writing & Preference benchmarks
Benchmark	GLM-5.3	MiniMax M1
LMArena Text	1471	1343
LMArena Creative Writing	1457	1298
LMArena Multi-Turn	1472	1335
EQ-Bench Creative Writing	2075	—

Frequently asked questions

Is GLM-5.3 better than MiniMax M1?

Which is cheaper, GLM-5.3 or MiniMax M1?

MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Is GLM-5.3 or MiniMax M1 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do GLM-5.3 and MiniMax M1 share?

17 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and MiniMax M1 has 18.