Model comparison

GLM-4.7 vs Phi 3 Mini 128k Instruct

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Phi 3 Mini 128k Instruct Microsoft

29.7

Rank #305 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 8 categories and Phi 3 Mini 128k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.7 leads 60.9 to 27.1.

Side by side

GLM-4.7 and Phi 3 Mini 128k Instruct specifications
GLM-4.7Phi 3 Mini 128k Instruct
ProviderZ.ai (Zhipu)Microsoft
Noometry Index42.029.7
Released2025-12-222024-04-23
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked3619

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), Phi 3 Mini 128k Instruct: 28.8 (#312)

Coding benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Coding14541039
LMArena WebDev1435—
SciCode45.1%—
BigCodeBench Instruct—29.6%
BigCodeBench Complete—40.6%
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Phi 3 Mini 128k Instruct: —

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), Phi 3 Mini 128k Instruct: 19.6 (#256)

Reasoning benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Hard Prompts14431028
SimpleBench47.7%—
CritPt1.7%—
Chess Puzzles6%—
Epoch Capabilities Index143.51—

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), Phi 3 Mini 128k Instruct: 31.6 (#222)

Math benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Math14231089
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), Phi 3 Mini 128k Instruct: 26.8 (#254)

Knowledge benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Expert1424984
GPQA Diamond83.3%—
SimpleQA Verified32.2%—
Vectara Hallucination Rate11.7%—

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), Phi 3 Mini 128k Instruct: 25.2 (#285)

Multilingual benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Non-English14171000
LMArena Chinese14951016
LMArena French14321039
LMArena German14241006
LMArena Japanese1439899
LMArena Korean1399856
LMArena Russian14231004
LMArena Spanish14341059

Instruction Following GLM-4.7 leads

GLM-4.7: 74.4 (#95), Phi 3 Mini 128k Instruct: 51.8 (#294)

Instruction Following benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Instruction Following14111023

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), Phi 3 Mini 128k Instruct: 30.4 (#289)

Long Context benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Longer Query1432996
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), Phi 3 Mini 128k Instruct: 27.1 (#301)

Writing & Preference benchmarks
BenchmarkGLM-4.7Phi 3 Mini 128k Instruct
LMArena Text14351050
LMArena Creative Writing14011024
LMArena Multi-Turn1446989
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than Phi 3 Mini 128k Instruct?

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.7 on the Noometry Index.

Is GLM-4.7 or Phi 3 Mini 128k Instruct better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 28.8 in the Noometry coding category.

How many benchmarks do GLM-4.7 and Phi 3 Mini 128k Instruct share?

17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.

Related comparisons

Go deeper