Noometry

Model comparison

GLM-4.7 vs o1-mini

GLM-4.7 is the stronger model overall, scoring 42.0 to 34.0 on the Noometry Index.

Last verified . 22 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GLM-4.7 scores higher in 9 categories and o1-mini in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.7 leads 24.3 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 46.9% for o1-mini.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7o1-mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.034.0
Released2025-12-222024-09-12
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked3639

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), o1-mini: 35.5 (#224)

BenchmarkGLM-4.7o1-mini
LMArena Coding14541362
Aider Polyglot—32.9%
LMArena WebDev1435—
SciCode45.1%—
WeirdML—36.3%
LiveBench Coding—48%
ALE-Bench399.48—
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use GLM-4.7 leads

GLM-4.7: 26.5 (#103), o1-mini: 24.6 (#118)

BenchmarkGLM-4.7o1-mini
Terminal-Bench33.4%—
Cybench—10%
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), o1-mini: 8.8 (#346)

BenchmarkGLM-4.7o1-mini
SimpleBench47.7%18.1%
LMArena Hard Prompts14431333
Epoch Capabilities Index143.51135.82
ARC-AGI-2—0.8%
ARC-AGI-1—14%
CritPt1.7%—
Chess Puzzles6%—
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
LiveBench—57.8%

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), o1-mini: 35.4 (#186)

BenchmarkGLM-4.7o1-mini
OTIS Mock AIME 2024-202583.3%46.9%
LMArena Math14231358
FrontierMath (Feb 2025 set)2.4%1.7%
ProofBench6%—
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), o1-mini: 34.9 (#192)

BenchmarkGLM-4.7o1-mini
GPQA Diamond83.3%62.4%
LMArena Expert14241316
SimpleQA Verified32.2%—
Confabulations—18.6%
Vectara Hallucination Rate11.7%—

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), o1-mini: 43.6 (#182)

BenchmarkGLM-4.7o1-mini
LMArena Non-English14171289
LMArena Chinese14951314
LMArena French14321293
LMArena German14241278
LMArena Japanese14391245
LMArena Korean13991223
LMArena Russian14231283
LMArena Spanish14341303

Instruction Following GLM-4.7 leads

GLM-4.7: 74.4 (#95), o1-mini: 66.7 (#206)

BenchmarkGLM-4.7o1-mini
LMArena Instruction Following14111304
LiveBench Instruction Following—65.4%

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), o1-mini: 40.1 (#161)

BenchmarkGLM-4.7o1-mini
LMArena Longer Query14321320
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), o1-mini: 48.4 (#202)

BenchmarkGLM-4.7o1-mini
LMArena Text14351317
LMArena Creative Writing14011244
LMArena Multi-Turn14461314
Short-Story Creative Writing—64.9%
EQ-Bench Creative Writing1413—
LiveBench Language—40.9%

Frequently asked questions

Is GLM-4.7 better than o1-mini?

GLM-4.7 is the stronger model overall, scoring 42.0 to 34.0 on the Noometry Index.

Is GLM-4.7 or o1-mini better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 35.5 in the Noometry coding category.

How many benchmarks do GLM-4.7 and o1-mini share?

22 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and o1-mini has 39.

Related comparisons

Go deeper