Model comparison

ERNIE 5.0 0110 vs GLM-5.2

GLM-5.2 is the stronger model overall, scoring 51.1 to 41.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

ERNIE 5.0 0110 Baidu

41.8

Rank #129 Confirmed

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Summary

  • They share 18 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 0 categories and GLM-5.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.2 leads 42.3 to 17.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 10.3% for ERNIE 5.0 0110 and 74.3% for GLM-5.2.
  • GLM-5.2 has downloadable open weights; the other is API-only.

Side by side

ERNIE 5.0 0110 and GLM-5.2 specifications
ERNIE 5.0 0110GLM-5.2
ProviderBaiduZ.ai (Zhipu)
Noometry Index41.851.1
Released—2026-06-13
WeightsProprietaryOpen
Context window—1M
Max output—131K
Input $ / M tokens—$1.40
Output $ / M tokens—$4.40
Results tracked2051

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

Category by category

Coding GLM-5.2 leads

ERNIE 5.0 0110: 43.0 (#94), GLM-5.2: 51.3 (#41)

Coding benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Coding14551485
SWE-bench Verified—78.7%
DeepSWE—43.8%
FrontierCode—24.5%
LMArena WebDev—1603
SciCode—50.5%
WeirdML—70.1%
ALE-Bench—1,047

Agentic & Tool Use Not comparable

ERNIE 5.0 0110: —, GLM-5.2: 32.4 (#63)

Agentic & Tool Use benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
APEX-Agents—45.2%
τ²-bench Banking—37.1%
PostTrainBench—31.7%
GBAEval—0%
Vending-Bench 2—8,314

Reasoning GLM-5.2 leads

ERNIE 5.0 0110: 17.0 (#297), GLM-5.2: 42.3 (#52)

Reasoning benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
NYT Connections (extended)10.3%74.3%
LMArena Hard Prompts14451480
ARC-AGI-2—22.8%
SimpleBench—58.8%
Kagi LLM Benchmark—62.6%
ARC-AGI-1—77%
CritPt—20.9%
Chess Puzzles—21%
Thematic Generalization41.7%—
EBR-Bench—9.5%
Mystery Game Puzzles—19%
DTBench—93.6%
LMCA—45.8%
Surface Evolver Bench—55.6%
Epoch Capabilities Index—151.78

Math GLM-5.2 leads

ERNIE 5.0 0110: 39.3 (#110), GLM-5.2: 55.7 (#43)

Math benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Math14371482
FrontierMath (Tiers 1-3)—59.2%
FrontierMath Tier 4—29.3%
MathArena Final-Answer Competitions—67.6%
OTIS Mock AIME 2024-2025—86.4%
ProofBench—35%

Knowledge GLM-5.2 leads

ERNIE 5.0 0110: 39.8 (#128), GLM-5.2: 57.1 (#40)

Knowledge benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Expert14281486
GPQA Diamond—91.9%
SimpleQA Verified—34.2%

Multimodal Not comparable

ERNIE 5.0 0110: 39.9 (#53), GLM-5.2: —

Multimodal benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Vision1249—

Multilingual GLM-5.2 leads

ERNIE 5.0 0110: 54.1 (#49), GLM-5.2: 55.8 (#26)

Multilingual benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Non-English14361459
LMArena Chinese15121519
LMArena French14671479
LMArena German14601468
LMArena Japanese13821451
LMArena Korean14061445
LMArena Russian14461466
LMArena Spanish14731477

Instruction Following GLM-5.2 leads

ERNIE 5.0 0110: 74.5 (#92), GLM-5.2: 76.9 (#34)

Instruction Following benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Instruction Following14131465

Long Context GLM-5.2 leads

ERNIE 5.0 0110: 43.4 (#95), GLM-5.2: 45.3 (#43)

Long Context benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Longer Query14221479

Writing & Preference GLM-5.2 leads

ERNIE 5.0 0110: 63.1 (#66), GLM-5.2: 70.4 (#21)

Writing & Preference benchmarks
BenchmarkERNIE 5.0 0110GLM-5.2
LMArena Text14451470
LMArena Creative Writing14261462
LMArena Multi-Turn14341469
EQ-Bench Creative Writing—1757
EQ-Bench 4—1222

Frequently asked questions

Is ERNIE 5.0 0110 better than GLM-5.2?

GLM-5.2 is the stronger model overall, scoring 51.1 to 41.8 on the Noometry Index.

Is ERNIE 5.0 0110 or GLM-5.2 better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 43.0 in the Noometry coding category.

How many benchmarks do ERNIE 5.0 0110 and GLM-5.2 share?

18 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GLM-5.2 has 51.

Related comparisons

Go deeper