Model comparison

GLM-4.7 vs GPT-4.1 mini

GLM-4.7 is the stronger model overall, scoring 42.0 to 33.6 on the Noometry Index.

Last verified . 26 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Summary

  • They share 26 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and GPT-4.1 mini in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7 leads 38.6 to 24.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 44.7% 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-4.7.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 205K.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7 and GPT-4.1 mini specifications
GLM-4.7GPT-4.1 mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.033.6
Released2025-12-222025-04-14
WeightsOpenProprietary
Context window205K1.05M
Max output131K33K
Input $ / M tokens$0.60$0.40
Output $ / M tokens$2.20$1.60
Results tracked3647

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), GPT-4.1 mini: 30.6 (#293)

Coding benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
SciCode45.1%40.4%
LMArena Coding14541367
SWE-bench Verified (bash only)—23.9%
Aider Polyglot—32.4%
LMArena WebDev1435—
WeirdML—37.6%
BigCodeBench Instruct—48.9%
CadEval—16%
ALE-Bench399.48—

Agentic & Tool Use GPT-4.1 mini leads

GLM-4.7: 26.5 (#103), GPT-4.1 mini: 33.3 (#55)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
Terminal-Bench33.4%—
Berkeley Function Calling Leaderboard—50.5%
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), GPT-4.1 mini: 10.8 (#340)

Reasoning benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
CritPt1.7%0%
Chess Puzzles6%7%
LMArena Hard Prompts14431349
Epoch Capabilities Index143.51135.01
ARC-AGI-2—0%
SimpleBench47.7%—
Kagi LLM Benchmark—48.6%
ARC-AGI-1—3.5%
Mystery Game Puzzles—7%
DTBench—68.8%
LMCA—21.1%

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), GPT-4.1 mini: 24.1 (#270)

Math benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
OTIS Mock AIME 2024-202583.3%44.7%
LMArena Math14231343
FrontierMath (Feb 2025 set)2.4%4.5%
FrontierMath (Tiers 1-3)—6.7%
ProofBench6%—
Omni-MATH—49.1%
MATH Level 5—87.3%
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), GPT-4.1 mini: 34.7 (#194)

Knowledge benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
GPQA Diamond83.3%65.8%
SimpleQA Verified32.2%12.7%
LMArena Expert14241338
MMLU-Pro—78.3%
Vectara Hallucination Rate11.7%—
GPQA (HELM)—61.4%

Multimodal Not comparable

GLM-4.7: —, GPT-4.1 mini: 35.8 (#82)

Multimodal benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
LMArena Vision—1181

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), GPT-4.1 mini: 45.7 (#166)

Multilingual benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
LMArena Non-English14171318
LMArena Chinese14951329
LMArena French14321358
LMArena German14241351
LMArena Japanese14391290
LMArena Korean13991298
LMArena Russian14231324
LMArena Spanish14341319

Instruction Following Too close to call

GLM-4.7: 74.4 (#95), GPT-4.1 mini: 73.7 (#118)

Instruction Following benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
LMArena Instruction Following14111333
IFEval—90.4%

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), GPT-4.1 mini: 31.8 (#275)

Long Context benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
LMArena Longer Query14321344
Fiction.LiveBench—44.4%
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), GPT-4.1 mini: 48.6 (#199)

Writing & Preference benchmarks
BenchmarkGLM-4.7GPT-4.1 mini
LMArena Text14351340
LMArena Creative Writing14011300
EQ-Bench Creative Writing14131147
LMArena Multi-Turn14461354
WildBench—83.8%

Frequently asked questions

Is GLM-4.7 better than GPT-4.1 mini?

GLM-4.7 is the stronger model overall, scoring 42.0 to 33.6 on the Noometry Index.

Which is cheaper, GLM-4.7 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-4.7 lists at $0.60 and $2.20.

Is GLM-4.7 or GPT-4.1 mini better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 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-4.7 and GPT-4.1 mini share?

26 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and GPT-4.1 mini has 47.

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