Noometry

Model comparison

GLM-5.3-Flash vs Yi-1.5-34B

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 14.8.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 32% for Yi-1.5-34B.

Side by side

GLM-5.3-FlashYi-1.5-34B
ProviderZ.ai (Zhipu)01.AI
Noometry Index51.830.6
Released2026-08-202024-05-13
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4021

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Yi-1.5-34B: 32.4 (#272)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Coding15081169
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Yi-1.5-34B: —

BenchmarkGLM-5.3-FlashYi-1.5-34B
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Yi-1.5-34B: 22.5 (#191)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Hard Prompts14911160
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Yi-1.5-34B: 27.5 (#249)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Math15001182
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
MATH Level 5—25.5%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Yi-1.5-34B: 14.8 (#295)

BenchmarkGLM-5.3-FlashYi-1.5-34B
GPQA Diamond90.2%32%
LMArena Expert15131144

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Yi-1.5-34B: —

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Yi-1.5-34B: 32.3 (#256)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Non-English14621121
LMArena Chinese15271213
LMArena French14961156
LMArena German14701111
LMArena Japanese14291021
LMArena Korean14461005
LMArena Russian14691091
LMArena Spanish14711121

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Yi-1.5-34B: 59.2 (#257)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Instruction Following14781139

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Yi-1.5-34B: 34.6 (#248)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Longer Query14821143

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Yi-1.5-34B: 37.4 (#257)

BenchmarkGLM-5.3-FlashYi-1.5-34B
LMArena Text14711173
LMArena Creative Writing14421135
LMArena Multi-Turn14671153

Frequently asked questions

Is GLM-5.3-Flash better than Yi-1.5-34B?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 30.6 on the Noometry Index.

Is GLM-5.3-Flash or Yi-1.5-34B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 32.4 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Yi-1.5-34B share?

18 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Yi-1.5-34B has 21.

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