Noometry

Model comparison

GLM-4.5 vs MiniMax-M2

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.4 on the Noometry Index. MiniMax-M2 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 . 17 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and MiniMax-M2 in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 19.4.
  • The biggest single-benchmark swing is SWE-bench Verified (bash only): 54.2% for GLM-4.5 and 61% for MiniMax-M2.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • MiniMax-M2 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.5MiniMax-M2
ProviderZ.ai (Zhipu)MiniMax
Noometry Index42.037.4
Released2025-07-272025-10-27
WeightsOpenOpen
Context window131K205K
Max output98K131K
Input $ / M tokens$0.60$0.30
Output $ / M tokens$2.20$1.20
Results tracked2721

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), MiniMax-M2: 39.3 (#159)

BenchmarkGLM-4.5MiniMax-M2
SWE-bench Verified (bash only)54.2%61%
LMArena Coding14341370
LMArena WebDev—1297
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, MiniMax-M2: 25.1 (#109)

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

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), MiniMax-M2: 19.4 (#258)

BenchmarkGLM-4.5MiniMax-M2
Kagi LLM Benchmark57.9%57.8%
LMArena Hard Prompts14291357
NYT Connections (extended)—14.8%

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), MiniMax-M2: 37.3 (#160)

BenchmarkGLM-4.5MiniMax-M2
LMArena Math14271352

Knowledge MiniMax-M2 leads

GLM-4.5: 35.9 (#179), MiniMax-M2: 37.0 (#163)

BenchmarkGLM-4.5MiniMax-M2
LMArena Expert14331337
Humanity's Last Exam8.3%—
Confabulations11.3%—

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), MiniMax-M2: 45.3 (#171)

BenchmarkGLM-4.5MiniMax-M2
LMArena Non-English14171313
LMArena Chinese14651366
LMArena French14181335
LMArena German14071355
LMArena Russian14141331
LMArena Spanish14541326
LMArena Japanese1415—
LMArena Korean1380—

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), MiniMax-M2: 70.2 (#166)

BenchmarkGLM-4.5MiniMax-M2
LMArena Instruction Following14041328

Long Context MiniMax-M2 leads

GLM-4.5: 38.2 (#201), MiniMax-M2: 40.5 (#153)

BenchmarkGLM-4.5MiniMax-M2
LMArena Longer Query14121331
Fiction.LiveBench58.3%—

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.5 (#127), MiniMax-M2: 53.0 (#162)

BenchmarkGLM-4.5MiniMax-M2
LMArena Text14301340
LMArena Creative Writing13951286
LMArena Multi-Turn14151361
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than MiniMax-M2?

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.4 on the Noometry Index. MiniMax-M2 costs 1.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

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

MiniMax-M2 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 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 39.3 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 and MiniMax-M2 share?

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

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