Noometry

Model comparison

GLM-4.5-Air vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.5 to 38.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

MiniMax-M3 MiniMax

43.5

Rank #81 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and MiniMax-M3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 34.6.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
  • MiniMax-M3 accepts more context: 1M tokens versus 131K.

Side by side

GLM-4.5-AirMiniMax-M3
ProviderZ.ai (Zhipu)MiniMax
Noometry Index38.743.5
Released2025-07-202026-06-01
WeightsOpenOpen
Context window131K1M
Max output98K512K
Input $ / M tokens$0.20$0.30
Output $ / M tokens$1.10$1.20
Results tracked2741

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Category by category

Coding MiniMax-M3 leads

GLM-4.5-Air: 34.5 (#225), MiniMax-M3: 41.5 (#111)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Coding13971470
FrontierCode—14.7%
LMArena WebDev—1482
SciCode—47.1%
GSO2.9%—
ALE-Bench—640.02

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, MiniMax-M3: 22.5 (#121)

BenchmarkGLM-4.5-AirMiniMax-M3
APEX-Agents—37.7%
OSWorld 2.0—4.6%
GBAEval—0.9%
Vending-Bench 2—2,158

Reasoning MiniMax-M3 leads

GLM-4.5-Air: 23.3 (#166), MiniMax-M3: 29.3 (#83)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Hard Prompts13791447
ForecastBench59.261.4
SimpleBench—45.8%
Kagi LLM Benchmark43%—
NYT Connections (extended)—65.1%
CritPt—3.7%
Chess Puzzles—14%
Mystery Game Puzzles—8%
DTBench—78.9%
LMCA—33.7%
Surface Evolver Bench—55%
Epoch Capabilities Index—147

Math MiniMax-M3 leads

GLM-4.5-Air: 33.8 (#166), MiniMax-M3: 39.1 (#83)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Math13961432
OTIS Mock AIME 2024-2025—71.1%
ProofBench—18%
Omni-MATH39.1%—

Knowledge MiniMax-M3 leads

GLM-4.5-Air: 34.6 (#184), MiniMax-M3: 58.4 (#32)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Expert13701462
GPQA Diamond—90.9%
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, MiniMax-M3: 39.5 (#45)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Vision—1254
LMArena Document—1435

Multilingual MiniMax-M3 leads

GLM-4.5-Air: 49.4 (#130), MiniMax-M3: 53.2 (#70)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Non-English13661420
LMArena Chinese14271465
LMArena French13991445
LMArena German13761424
LMArena Japanese13481381
LMArena Korean13061372
LMArena Russian13731430
LMArena Spanish13851431

Instruction Following MiniMax-M3 leads

GLM-4.5-Air: 69.8 (#165), MiniMax-M3: 75.7 (#56)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Instruction Following13531433
IFEval81.2%—

Long Context MiniMax-M3 leads

GLM-4.5-Air: 41.6 (#130), MiniMax-M3: 44.2 (#68)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Longer Query13671445

Writing & Preference MiniMax-M3 leads

GLM-4.5-Air: 56.1 (#134), MiniMax-M3: 62.3 (#79)

BenchmarkGLM-4.5-AirMiniMax-M3
LMArena Text13841433
LMArena Creative Writing13431405
LMArena Multi-Turn13711441
WildBench78.9%—
EQ-Bench 4—1150

Frequently asked questions

Is GLM-4.5-Air better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.5 to 38.7 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or MiniMax-M3?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.

Is GLM-4.5-Air or MiniMax-M3 better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.5 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 131K.

How many benchmarks do GLM-4.5-Air and MiniMax-M3 share?

18 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiniMax-M3 has 41.

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