Noometry

Model comparison

GLM-5.3-Flash vs phi-3-medium 14B

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

phi-3-medium 14B Microsoft

29.7

Rank #306 Reported

Summary

  • They share 2 benchmarks with published results for both. GLM-5.3-Flash scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 9.1.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 27.6% for phi-3-medium 14B.

Side by side

GLM-5.3-Flashphi-3-medium 14B
ProviderZ.ai (Zhipu)Microsoft
Noometry Index51.829.7
Released2026-08-202024-04-23
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4013

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), phi-3-medium 14B: 36.8 (#201)

BenchmarkGLM-5.3-Flashphi-3-medium 14B
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
BigCodeBench Instruct—37.6%
LMArena Coding1508—
BigCodeBench Complete—48.7%
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning Not comparable

GLM-5.3-Flash: 48.0 (#42), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
Epoch Capabilities Index151.88121.23
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
LMArena Hard Prompts1491—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Adversarial NLI—55.8%
Bench to the Future 30.15—
BIG-Bench Hard—81.4%
HellaSwag—82.4%
WinoGrande—81.5%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), phi-3-medium 14B: 27.3 (#250)

BenchmarkGLM-5.3-Flashphi-3-medium 14B
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1500—
MATH Level 5—17.6%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), phi-3-medium 14B: 9.1 (#306)

BenchmarkGLM-5.3-Flashphi-3-medium 14B
GPQA Diamond90.2%27.6%
LMArena Expert1513—
ARC (AI2) Challenge—91.6%
MMLU—78%
OpenBookQA—87.4%
TriviaQA—73.9%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.5 (#20), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.3 (#50), phi-3-medium 14B: —

BenchmarkGLM-5.3-Flashphi-3-medium 14B
LMArena Text1471—
LMArena Creative Writing1442—
LMArena Multi-Turn1467—

Frequently asked questions

Is GLM-5.3-Flash better than phi-3-medium 14B?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.7 on the Noometry Index.

Is GLM-5.3-Flash or phi-3-medium 14B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 36.8 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and phi-3-medium 14B share?

2 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and phi-3-medium 14B has 13.

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