Noometry

Model comparison

GLM-5.3-Flash vs Yi-34B

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Yi-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 7.5.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 14.7% for Yi-34B.

Side by side

GLM-5.3-FlashYi-34B
ProviderZ.ai (Zhipu)01.AI
Noometry Index51.827.8
Released2026-08-202023-11-02
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4023

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

Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Yi-34B: 32.3 (#274)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Coding15081112
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Yi-34B: —

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

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Yi-34B: 21.2 (#226)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Hard Prompts14911104
Epoch Capabilities Index151.88117.39
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
BIG-Bench Hard—71.7%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Yi-34B: 21.6 (#282)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Math15001114
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
MATH Level 5—5.1%
GSM8K—76%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Yi-34B: 7.5 (#309)

BenchmarkGLM-5.3-FlashYi-34B
GPQA Diamond90.2%14.7%
LMArena Expert15131061
MMLU—76.3%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Yi-34B: —

BenchmarkGLM-5.3-FlashYi-34B
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Yi-34B: 29.7 (#264)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Non-English14621079
LMArena Chinese15271176
LMArena French14961081
LMArena German14701042
LMArena Japanese1429993
LMArena Korean1446959
LMArena Russian14691050
LMArena Spanish14711070

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Yi-34B: 56.2 (#274)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Instruction Following14781091

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Yi-34B: 33.2 (#264)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Longer Query14821094

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Yi-34B: 34.1 (#273)

BenchmarkGLM-5.3-FlashYi-34B
LMArena Text14711129
LMArena Creative Writing14421108
LMArena Multi-Turn14671113

Frequently asked questions

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

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.8 on the Noometry Index.

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 32.3 in the Noometry coding category.

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

19 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Yi-34B has 23.

Related comparisons

Go deeper