Noometry

Model comparison

GLM-4.5V vs MiniMax-M2.5

GLM-4.5V is the stronger model overall, scoring 39.8 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 1.7× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and MiniMax-M2.5 in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5V leads 37.4 to 26.9.
  • MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • MiniMax-M2.5 accepts more context: 205K tokens versus 64K.

Side by side

GLM-4.5VMiniMax-M2.5
ProviderZ.ai (Zhipu)MiniMax
Noometry Index39.838.3
Released2025-08-112026-02-12
WeightsOpenOpen
Context window64K205K
Max output16K131K
Input $ / M tokens$0.60$0.30
Output $ / M tokens$1.80$1.20
Results tracked1533

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiniMax-M2.5 leads

GLM-4.5V: 39.5 (#155), MiniMax-M2.5: 48.1 (#58)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Coding13471381
SWE-bench Verified (bash only)—75.8%
LMArena WebDev—1387
SWE-bench Multilingual—68.3%
ALE-Bench—618.17

Agentic & Tool Use Not comparable

GLM-4.5V: —, MiniMax-M2.5: 30.4 (#77)

BenchmarkGLM-4.5VMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), MiniMax-M2.5: 17.5 (#292)

BenchmarkGLM-4.5VMiniMax-M2.5
Kagi LLM Benchmark59.8%55.2%
LMArena Hard Prompts13341372
ARC-AGI-2—4.9%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
Epoch Capabilities Index—146.68

Math GLM-4.5V leads

GLM-4.5V: 37.4 (#159), MiniMax-M2.5: 26.9 (#253)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Math13541378
ProofBench—4%

Knowledge MiniMax-M2.5 leads

GLM-4.5V: 37.5 (#156), MiniMax-M2.5: 39.2 (#135)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Expert13531379
Vectara Hallucination Rate—9.1%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), MiniMax-M2.5: —

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Vision1154—

Multilingual MiniMax-M2.5 leads

GLM-4.5V: 44.6 (#177), MiniMax-M2.5: 47.1 (#152)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Non-English13031338
LMArena Chinese13371393
LMArena Russian12981358
LMArena Spanish13361354
LMArena French—1362
LMArena German—1362
LMArena Japanese—1171
LMArena Korean—1232

Instruction Following MiniMax-M2.5 leads

GLM-4.5V: 69.2 (#175), MiniMax-M2.5: 71.5 (#148)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Instruction Following13111353

Long Context GLM-4.5V leads

GLM-4.5V: 39.6 (#171), MiniMax-M2.5: 37.5 (#216)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Longer Query13041366
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference MiniMax-M2.5 leads

GLM-4.5V: 52.5 (#170), MiniMax-M2.5: 53.9 (#153)

BenchmarkGLM-4.5VMiniMax-M2.5
LMArena Text13331359
LMArena Creative Writing12951331
LMArena Multi-Turn13321364
EQ-Bench Creative Writing—1361

Frequently asked questions

Is GLM-4.5V better than MiniMax-M2.5?

GLM-4.5V is the stronger model overall, scoring 39.8 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 1.7× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or MiniMax-M2.5?

MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 64K.

How many benchmarks do GLM-4.5V and MiniMax-M2.5 share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiniMax-M2.5 has 33.

Related comparisons

Go deeper