Noometry

Model comparison

GLM-4.7 vs MiniMax-M2.7

GLM-4.7 is the stronger model overall, scoring 42.0 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 1.9× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Last verified . 25 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 25 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and MiniMax-M2.7 in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7 leads 38.6 to 25.9.
  • The biggest single-benchmark swing is Terminal-Bench: 33.4% for GLM-4.7 and 45.1% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.

Side by side

GLM-4.7MiniMax-M2.7
ProviderZ.ai (Zhipu)MiniMax
Noometry Index42.037.7
Released2025-12-222026-03-18
WeightsOpenOpen
Context window205K205K
Max output131K131K
Input $ / M tokens$0.60$0.30
Output $ / M tokens$2.20$1.20
Results tracked3630

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

Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), MiniMax-M2.7: 41.8 (#120)

BenchmarkGLM-4.7MiniMax-M2.7
LMArena WebDev14351398
SciCode45.1%47%
LMArena Coding14541454
ALE-Bench399.48599.25
WeirdML—37%

Agentic & Tool Use GLM-4.7 leads

GLM-4.7: 26.5 (#103), MiniMax-M2.7: 25.1 (#111)

BenchmarkGLM-4.7MiniMax-M2.7
Terminal-Bench33.4%45.1%
ExploitBench—13.3%
GBAEval—0%
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), MiniMax-M2.7: 19.7 (#253)

BenchmarkGLM-4.7MiniMax-M2.7
CritPt1.7%0.6%
LMArena Hard Prompts14431422
Epoch Capabilities Index143.51145.85
SimpleBench47.7%—
NYT Connections (extended)—24.7%
Chess Puzzles6%—
Thematic Generalization—39.3%

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), MiniMax-M2.7: 25.9 (#263)

BenchmarkGLM-4.7MiniMax-M2.7
ProofBench6%3%
LMArena Math14231420
OTIS Mock AIME 2024-202583.3%—
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), MiniMax-M2.7: 37.7 (#152)

BenchmarkGLM-4.7MiniMax-M2.7
Vectara Hallucination Rate11.7%12.9%
LMArena Expert14241444
GPQA Diamond83.3%—
SimpleQA Verified32.2%—

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), MiniMax-M2.7: 50.3 (#123)

BenchmarkGLM-4.7MiniMax-M2.7
LMArena Non-English14171382
LMArena Chinese14951441
LMArena French14321421
LMArena German14241398
LMArena Japanese14391262
LMArena Korean13991313
LMArena Russian14231383
LMArena Spanish14341403

Instruction Following Too close to call

GLM-4.7: 74.4 (#95), MiniMax-M2.7: 74.1 (#103)

BenchmarkGLM-4.7MiniMax-M2.7
LMArena Instruction Following14111405

Long Context Too close to call

GLM-4.7: 42.8 (#116), MiniMax-M2.7: 43.3 (#99)

BenchmarkGLM-4.7MiniMax-M2.7
LMArena Longer Query14321419
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), MiniMax-M2.7: 58.9 (#112)

BenchmarkGLM-4.7MiniMax-M2.7
LMArena Text14351405
LMArena Creative Writing14011354
LMArena Multi-Turn14461412
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than MiniMax-M2.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 1.9× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7 or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is GLM-4.7 or MiniMax-M2.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

Both accept 205K tokens.

How many benchmarks do GLM-4.7 and MiniMax-M2.7 share?

25 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and MiniMax-M2.7 has 30.

Related comparisons

Go deeper