Noometry

Model comparison

GLM-4.5-Air vs MiniMax-M2

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 36.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

MiniMax-M2 MiniMax

36.9

Rank #201 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.5-Air scores higher in 4 categories and MiniMax-M2 in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5-Air leads 23.3 to 18.6.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 43% for GLM-4.5-Air and 57.8% for MiniMax-M2.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
  • MiniMax-M2 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.5-AirMiniMax-M2
ProviderZ.ai (Zhipu)MiniMax
Noometry Index38.736.9
Released2025-07-202025-10-27
WeightsOpenOpen
Context window131K205K
Max output98K131K
Input $ / M tokens$0.20$0.30
Output $ / M tokens$1.10$1.20
Results tracked2721

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Category by category

Coding MiniMax-M2 leads

GLM-4.5-Air: 34.5 (#225), MiniMax-M2: 39.1 (#151)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Coding13971370
SWE-bench Verified (bash only)—61%
LMArena WebDev—1297
GSO2.9%—

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, MiniMax-M2: 24.9 (#102)

BenchmarkGLM-4.5-AirMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 23.3 (#166), MiniMax-M2: 18.6 (#256)

BenchmarkGLM-4.5-AirMiniMax-M2
Kagi LLM Benchmark43%57.8%
LMArena Hard Prompts13791357
NYT Connections (extended)—14.8%
ForecastBench59.2—

Math Too close to call

GLM-4.5-Air: 33.8 (#166), MiniMax-M2: 34.6 (#158)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Math13961350
Omni-MATH39.1%—

Knowledge MiniMax-M2 leads

GLM-4.5-Air: 34.6 (#184), MiniMax-M2: 36.3 (#160)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Expert13701336
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.4 (#130), MiniMax-M2: 45.6 (#165)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Non-English13661314
LMArena Chinese14271367
LMArena French13991336
LMArena German13761366
LMArena Russian13731332
LMArena Spanish13851326
LMArena Japanese1348—
LMArena Korean1306—

Instruction Following Too close to call

GLM-4.5-Air: 69.8 (#165), MiniMax-M2: 70.4 (#160)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Instruction Following13531329
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#130), MiniMax-M2: 40.5 (#148)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Longer Query13671332

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 56.1 (#134), MiniMax-M2: 53.3 (#157)

BenchmarkGLM-4.5-AirMiniMax-M2
LMArena Text13841340
LMArena Creative Writing13431288
LMArena Multi-Turn13711362
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than MiniMax-M2?

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 36.9 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or MiniMax-M2?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Is GLM-4.5-Air or MiniMax-M2 better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.1 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

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

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

16 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiniMax-M2 has 21.

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