Noometry

Model comparison

GLM-4.5 vs GPT-4.1 mini

GLM-4.5 is the stronger model overall, scoring 42.0 to 33.6 on the Noometry Index.

Last verified . 22 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and GPT-4.1 mini in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 10.8.
  • The biggest single-benchmark swing is SWE-bench Verified (bash only): 54.2% for GLM-4.5 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-4.5.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5GPT-4.1 mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.033.6
Released2025-07-272025-04-14
WeightsOpenProprietary
Context window131K1.05M
Max output98K33K
Input $ / M tokens$0.60$0.40
Output $ / M tokens$2.20$1.60
Results tracked2747

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), GPT-4.1 mini: 30.6 (#293)

BenchmarkGLM-4.5GPT-4.1 mini
SWE-bench Verified (bash only)54.2%23.9%
WeirdML40.6%37.6%
LMArena Coding14341367
Aider Polyglot—32.4%
SciCode—40.4%
BigCodeBench Instruct—48.9%
CadEval—16%
ALE-Bench344.82—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, GPT-4.1 mini: 33.3 (#55)

BenchmarkGLM-4.5GPT-4.1 mini
Berkeley Function Calling Leaderboard—50.5%

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), GPT-4.1 mini: 10.8 (#340)

BenchmarkGLM-4.5GPT-4.1 mini
Kagi LLM Benchmark57.9%48.6%
LMArena Hard Prompts14291349
ARC-AGI-2—0%
ARC-AGI-1—3.5%
CritPt—0%
Chess Puzzles—7%
Mystery Game Puzzles—7%
DTBench—68.8%
LMCA—21.1%
Epoch Capabilities Index—135.01

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), GPT-4.1 mini: 24.1 (#270)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Math14271343
FrontierMath (Tiers 1-3)—6.7%
OTIS Mock AIME 2024-2025—44.7%
Omni-MATH—49.1%
MATH Level 5—87.3%
FrontierMath (Feb 2025 set)—4.5%

Knowledge GLM-4.5 leads

GLM-4.5: 35.9 (#179), GPT-4.1 mini: 34.7 (#194)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Expert14331338
GPQA Diamond—65.8%
Humanity's Last Exam8.3%—
SimpleQA Verified—12.7%
MMLU-Pro—78.3%
Confabulations11.3%—
GPQA (HELM)—61.4%

Multimodal Not comparable

GLM-4.5: —, GPT-4.1 mini: 35.8 (#82)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Vision—1181

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), GPT-4.1 mini: 45.7 (#166)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Non-English14171318
LMArena Chinese14651329
LMArena French14181358
LMArena German14071351
LMArena Japanese14151290
LMArena Korean13801298
LMArena Russian14141324
LMArena Spanish14541319

Instruction Following Too close to call

GLM-4.5: 74.1 (#104), GPT-4.1 mini: 73.7 (#118)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Instruction Following14041333
IFEval—90.4%

Long Context GLM-4.5 leads

GLM-4.5: 38.2 (#201), GPT-4.1 mini: 31.8 (#275)

BenchmarkGLM-4.5GPT-4.1 mini
Fiction.LiveBench58.3%44.4%
LMArena Longer Query14121344

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.5 (#127), GPT-4.1 mini: 48.6 (#199)

BenchmarkGLM-4.5GPT-4.1 mini
LMArena Text14301340
LMArena Creative Writing13951300
EQ-Bench Creative Writing13431147
LMArena Multi-Turn14151354
Short-Story Creative Writing73.4%—
WildBench—83.8%

Frequently asked questions

Is GLM-4.5 better than GPT-4.1 mini?

GLM-4.5 is the stronger model overall, scoring 42.0 to 33.6 on the Noometry Index.

Which is cheaper, GLM-4.5 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-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or GPT-4.1 mini better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5 and GPT-4.1 mini share?

22 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GPT-4.1 mini has 47.

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