Noometry

Model comparison

GLM-4.6 vs o1-mini

GLM-4.6 is the stronger model overall, scoring 40.9 to 33.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

o1-mini OpenAI

33.7

Rank #230 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.6 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-4.6 leads 23.1 to 8.9.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6o1-mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index40.933.7
Released2025-09-302024-09-12
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked2939

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 39.9 (#137), o1-mini: 35.1 (#218)

BenchmarkGLM-4.6o1-mini
LMArena Coding14491362
SWE-bench Verified (bash only)55.4%—
Aider Polyglot—32.9%
LMArena WebDev1339—
SciCode38.4%—
WeirdML—36.3%
LiveBench Coding—48%
ALE-Bench340.82—
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use GLM-4.6 leads

GLM-4.6: 32.1 (#60), o1-mini: 24.3 (#112)

BenchmarkGLM-4.6o1-mini
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—
Cybench—10%

Reasoning GLM-4.6 leads

GLM-4.6: 23.1 (#168), o1-mini: 8.9 (#340)

BenchmarkGLM-4.6o1-mini
LMArena Hard Prompts14401333
ARC-AGI-2—0.8%
SimpleBench—18.1%
Kagi LLM Benchmark47.4%—
ARC-AGI-1—14%
CritPt1.1%—
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
Epoch Capabilities Index—135.82
LiveBench—57.8%

Math GLM-4.6 leads

GLM-4.6: 36.4 (#115), o1-mini: 33.7 (#168)

BenchmarkGLM-4.6o1-mini
LMArena Math14311358
FrontierMath (Feb 2025 set)3.8%1.7%
OTIS Mock AIME 2024-2025—46.9%
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 39.6 (#118), o1-mini: 34.8 (#180)

BenchmarkGLM-4.6o1-mini
LMArena Expert14321316
GPQA Diamond—62.4%
Confabulations—18.6%
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.6 (#62), o1-mini: 43.8 (#177)

BenchmarkGLM-4.6o1-mini
LMArena Non-English14261289
LMArena Chinese15001314
LMArena French14591292
LMArena German14471278
LMArena Japanese13941245
LMArena Korean14011223
LMArena Russian14181283
LMArena Spanish14361302

Instruction Following GLM-4.6 leads

GLM-4.6: 74.5 (#93), o1-mini: 67.0 (#200)

BenchmarkGLM-4.6o1-mini
LMArena Instruction Following14101304
LiveBench Instruction Following—65.4%

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#91), o1-mini: 40.1 (#156)

BenchmarkGLM-4.6o1-mini
LMArena Longer Query14231321

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.3 (#86), o1-mini: 48.6 (#196)

BenchmarkGLM-4.6o1-mini
LMArena Text14401317
LMArena Creative Writing14111244
LMArena Multi-Turn14271314
Short-Story Creative Writing—64.9%
EQ-Bench Creative Writing1411—
LiveBench Language—40.9%

Frequently asked questions

Is GLM-4.6 better than o1-mini?

GLM-4.6 is the stronger model overall, scoring 40.9 to 33.7 on the Noometry Index.

Is GLM-4.6 or o1-mini better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 35.1 in the Noometry coding category.

How many benchmarks do GLM-4.6 and o1-mini share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and o1-mini has 39.

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