Noometry

Model comparison

GLM-4.6 vs Phi 3 Small 8k Instruct

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Phi 3 Small 8k Instruct Microsoft

29.3

Rank #314 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Phi 3 Small 8k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 31.1.

Side by side

GLM-4.6Phi 3 Small 8k Instruct
ProviderZ.ai (Zhipu)Microsoft
Noometry Index41.429.3
Released2025-09-302024-04-23
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked2932

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), Phi 3 Small 8k Instruct: 27.9 (#318)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Coding14491101
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
LiveBench Coding—20.3%
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Phi 3 Small 8k Instruct: —

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), Phi 3 Small 8k Instruct: 14.8 (#323)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Hard Prompts14401100
Kagi LLM Benchmark47.4%—
CritPt1.1%—
LiveBench Reasoning—15.9%
LiveBench Data Analysis—30.3%
Adversarial NLI—58.1%
BIG-Bench Hard—79.1%
HellaSwag—77%
LiveBench—24%
WinoGrande—81.5%

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), Phi 3 Small 8k Instruct: 27.6 (#248)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Math14321151
LiveBench Math—17.6%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), Phi 3 Small 8k Instruct: 29.1 (#240)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Expert14311067
Vectara Hallucination Rate9.5%—
ARC (AI2) Challenge—90.7%
MMLU—75.7%
OpenBookQA—88%
TriviaQA—58.1%

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), Phi 3 Small 8k Instruct: 28.5 (#272)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Non-English14261058
LMArena Chinese14991061
LMArena French14591135
LMArena German14471080
LMArena Japanese1393966
LMArena Korean1400894
LMArena Russian14191111
LMArena Spanish14361111

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), Phi 3 Small 8k Instruct: 51.9 (#292)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Instruction Following14101087
LiveBench Instruction Following—47.2%

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), Phi 3 Small 8k Instruct: 33.0 (#267)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Longer Query14221088

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), Phi 3 Small 8k Instruct: 31.1 (#284)

BenchmarkGLM-4.6Phi 3 Small 8k Instruct
LMArena Text14401110
LMArena Creative Writing14111083
LMArena Multi-Turn14271068
EQ-Bench Creative Writing1411—
LiveBench Language—12.9%

Frequently asked questions

Is GLM-4.6 better than Phi 3 Small 8k Instruct?

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.3 on the Noometry Index.

Is GLM-4.6 or Phi 3 Small 8k Instruct better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 27.9 in the Noometry coding category.

How many benchmarks do GLM-4.6 and Phi 3 Small 8k Instruct share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Phi 3 Small 8k Instruct has 32.

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