Noometry

Model comparison

GLM-5.3-Flash vs MiniMax-M2.1

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 38.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

MiniMax-M2.1 MiniMax

38.4

Rank #177 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and MiniMax-M2.1 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 37.7.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 205K.

Side by side

GLM-5.3-FlashMiniMax-M2.1
ProviderZ.ai (Zhipu)MiniMax
Noometry Index49.638.4
Released2026-08-202025-12-23
WeightsOpenOpen
Context window1M205K
Max output131K131K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.50$1.20
Results tracked3622

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), MiniMax-M2.1: 40.1 (#132)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena WebDev16141384
LMArena Coding15061421
ALE-Bench303.55623.83
DeepSWE63.4%—
FrontierCode31.8%—
SciCode51.6%—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), MiniMax-M2.1: 27.7 (#91)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
Terminal-Bench—36.6%
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), MiniMax-M2.1: 15.8 (#301)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Hard Prompts14901410
NYT Connections (extended)—11.2%
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), MiniMax-M2.1: 35.6 (#142)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Math14991396
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), MiniMax-M2.1: 37.7 (#143)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Expert15121432
GPQA Diamond90.2%—
Vectara Hallucination Rate—11.8%

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), MiniMax-M2.1: —

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), MiniMax-M2.1: 50.2 (#123)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Non-English14621378
LMArena Chinese15291430
LMArena French14951405
LMArena German14571380
LMArena Japanese14201287
LMArena Korean14431297
LMArena Russian14721386
LMArena Spanish14711396

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), MiniMax-M2.1: 74.0 (#108)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Instruction Following14801399

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), MiniMax-M2.1: 43.2 (#98)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Longer Query14791416

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), MiniMax-M2.1: 58.5 (#114)

BenchmarkGLM-5.3-FlashMiniMax-M2.1
LMArena Text14711392
LMArena Creative Writing14401362
LMArena Multi-Turn14711396

Frequently asked questions

Is GLM-5.3-Flash better than MiniMax-M2.1?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 38.4 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or MiniMax-M2.1?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.

Is GLM-5.3-Flash or MiniMax-M2.1 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 205K.

How many benchmarks do GLM-5.3-Flash and MiniMax-M2.1 share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and MiniMax-M2.1 has 22.

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