Noometry

Model comparison

GLM-4.6 vs GPT-4.1 mini

GLM-4.6 is the stronger model overall, scoring 41.4 to 33.6 on the Noometry Index.

Last verified . 24 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and GPT-4.1 mini in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.6 leads 39.1 to 24.1.
  • The biggest single-benchmark swing is SWE-bench Verified (bash only): 55.4% for GLM-4.6 and 23.9% for GPT-4.1 mini.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 205K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-4.1 mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.433.6
Released2025-09-302025-04-14
WeightsOpenProprietary
Context window205K1.05M
Max output131K33K
Input $ / M tokens$0.60$0.40
Output $ / M tokens$2.20$1.60
Results tracked2947

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), GPT-4.1 mini: 30.6 (#293)

BenchmarkGLM-4.6GPT-4.1 mini
SWE-bench Verified (bash only)55.4%23.9%
SciCode38.4%40.4%
LMArena Coding14491367
Aider Polyglot—32.4%
LMArena WebDev1340—
WeirdML—37.6%
BigCodeBench Instruct—48.9%
CadEval—16%
ALE-Bench340.82—

Agentic & Tool Use Too close to call

GLM-4.6: 32.3 (#66), GPT-4.1 mini: 33.3 (#55)

BenchmarkGLM-4.6GPT-4.1 mini
Berkeley Function Calling Leaderboard72.4%50.5%
Terminal-Bench24.5%—

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), GPT-4.1 mini: 10.8 (#340)

BenchmarkGLM-4.6GPT-4.1 mini
Kagi LLM Benchmark47.4%48.6%
CritPt1.1%0%
LMArena Hard Prompts14401349
ARC-AGI-2—0%
ARC-AGI-1—3.5%
Chess Puzzles—7%
Mystery Game Puzzles—7%
DTBench—68.8%
LMCA—21.1%
Epoch Capabilities Index—135.01

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), GPT-4.1 mini: 24.1 (#270)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Math14321343
FrontierMath (Feb 2025 set)3.8%4.5%
FrontierMath (Tiers 1-3)—6.7%
OTIS Mock AIME 2024-2025—44.7%
Omni-MATH—49.1%
MATH Level 5—87.3%
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), GPT-4.1 mini: 34.7 (#194)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Expert14311338
GPQA Diamond—65.8%
SimpleQA Verified—12.7%
MMLU-Pro—78.3%
Vectara Hallucination Rate9.5%—
GPQA (HELM)—61.4%

Multimodal Not comparable

GLM-4.6: —, GPT-4.1 mini: 35.8 (#82)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Vision—1181

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), GPT-4.1 mini: 45.7 (#166)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Non-English14261318
LMArena Chinese14991329
LMArena French14591358
LMArena German14471351
LMArena Japanese13931290
LMArena Korean14001298
LMArena Russian14191324
LMArena Spanish14361319

Instruction Following Too close to call

GLM-4.6: 74.3 (#98), GPT-4.1 mini: 73.7 (#118)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Instruction Following14101333
IFEval—90.4%

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), GPT-4.1 mini: 31.8 (#275)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Longer Query14221344
Fiction.LiveBench—44.4%

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), GPT-4.1 mini: 48.6 (#199)

BenchmarkGLM-4.6GPT-4.1 mini
LMArena Text14401340
LMArena Creative Writing14111300
EQ-Bench Creative Writing14111147
LMArena Multi-Turn14271354
WildBench—83.8%

Frequently asked questions

Is GLM-4.6 better than GPT-4.1 mini?

GLM-4.6 is the stronger model overall, scoring 41.4 to 33.6 on the Noometry Index.

Which is cheaper, GLM-4.6 or GPT-4.1 mini?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or GPT-4.1 mini better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 205K.

How many benchmarks do GLM-4.6 and GPT-4.1 mini share?

24 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-4.1 mini has 47.

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