Noometry

Model comparison

GLM-5V-Turbo vs MiniMax-M2

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.6× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and MiniMax-M2 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 19.4.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • MiniMax-M2 accepts more context: 205K tokens versus 200K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GLM-5V-TurboMiniMax-M2
ProviderZ.ai (Zhipu)MiniMax
Noometry Index43.837.4
Released2026-04-012025-10-27
WeightsProprietaryOpen
Context window200K205K
Max output131K131K
Input $ / M tokens$1.20$0.30
Output $ / M tokens$4$1.20
Results tracked1921

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 42.1 (#111), MiniMax-M2: 39.3 (#159)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena WebDev14011297
LMArena Coding14661370
SWE-bench Verified (bash only)—61%

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, MiniMax-M2: 25.1 (#109)

BenchmarkGLM-5V-TurboMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), MiniMax-M2: 19.4 (#258)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Hard Prompts14431357
Kagi LLM Benchmark—57.8%
NYT Connections (extended)—14.8%

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 39.4 (#106), MiniMax-M2: 37.3 (#160)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Math14411352

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 40.6 (#117), MiniMax-M2: 37.0 (#163)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Expert14521337

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), MiniMax-M2: —

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Vision1264—
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.0 (#73), MiniMax-M2: 45.3 (#171)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Non-English14201313
LMArena Chinese14881366
LMArena French14441335
LMArena German14231355
LMArena Russian14311331
LMArena Spanish14501326
LMArena Korean1396—

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.0 (#80), MiniMax-M2: 70.2 (#166)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Instruction Following14231328

Long Context GLM-5V-Turbo leads

GLM-5V-Turbo: 44.0 (#80), MiniMax-M2: 40.5 (#153)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Longer Query14381331

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.5 (#73), MiniMax-M2: 53.0 (#162)

BenchmarkGLM-5V-TurboMiniMax-M2
LMArena Text14371340
LMArena Creative Writing14161286
LMArena Multi-Turn14321361

Frequently asked questions

Is GLM-5V-Turbo better than MiniMax-M2?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.6× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-5V-Turbo or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or MiniMax-M2 better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 39.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2 does, with 205K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and MiniMax-M2 share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiniMax-M2 has 21.

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