Noometry

Model comparison

GLM-4.7-Flash vs o1-mini

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 34.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and o1-mini in 1 category; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.7-Flash leads 20.9 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 46.9% for o1-mini.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-Flasho1-mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.834.0
Released2026-01-192024-09-12
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2139

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), o1-mini: 35.5 (#224)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Coding13831362
Aider Polyglot—32.9%
WeirdML—36.3%
LiveBench Coding—48%
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, o1-mini: 24.6 (#118)

BenchmarkGLM-4.7-Flasho1-mini
Cybench—10%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), o1-mini: 8.8 (#346)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Hard Prompts13561333
ARC-AGI-2—0.8%
SimpleBench—18.1%
ARC-AGI-1—14%
Chess Puzzles0%—
LiveBench Reasoning—72.3%
LiveBench Data Analysis—57.9%
Epoch Capabilities Index—135.82
LiveBench—57.8%

Math Too close to call

GLM-4.7-Flash: 36.1 (#173), o1-mini: 35.4 (#186)

BenchmarkGLM-4.7-Flasho1-mini
OTIS Mock AIME 2024-202558.3%46.9%
LMArena Math13551358
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%

Knowledge Too close to call

GLM-4.7-Flash: 35.5 (#184), o1-mini: 34.9 (#192)

BenchmarkGLM-4.7-Flasho1-mini
GPQA Diamond60.5%62.4%
LMArena Expert13571316
Confabulations—18.6%
Vectara Hallucination Rate9.3%—

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), o1-mini: 43.6 (#182)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Non-English13301289
LMArena Chinese14031314
LMArena French13321293
LMArena German13371278
LMArena Korean12831223
LMArena Russian13321283
LMArena Spanish13501303
LMArena Japanese—1245

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), o1-mini: 66.7 (#206)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Instruction Following13271304
LiveBench Instruction Following—65.4%

Long Context Too close to call

GLM-4.7-Flash: 40.9 (#148), o1-mini: 40.1 (#161)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Longer Query13451320

Writing & Preference Too close to call

GLM-4.7-Flash: 47.4 (#210), o1-mini: 48.4 (#202)

BenchmarkGLM-4.7-Flasho1-mini
LMArena Text13511317
LMArena Creative Writing12971244
LMArena Multi-Turn13421314
Short-Story Creative Writing—64.9%
EQ-Bench Creative Writing1125—
LiveBench Language—40.9%

Frequently asked questions

Is GLM-4.7-Flash better than o1-mini?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 34.0 on the Noometry Index.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 35.5 in the Noometry coding category.

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

18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and o1-mini has 39.

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