Noometry

Model comparison

Dolly 2.0-12b vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 25.5 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

25.5

Rank #342 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and GLM-5.3-Flash in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3-Flash leads 65.3 to 15.2.

Side by side

Dolly 2.0-12bGLM-5.3-Flash
ProviderDatabricksZ.ai (Zhipu)
Noometry Index25.551.8
Released2023-04-112026-08-20
WeightsOpenOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked1740

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Category by category

Coding GLM-5.3-Flash leads

Dolly 2.0-12b: 23.4 (#332), GLM-5.3-Flash: 53.1 (#31)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Coding7761508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
ALE-Bench—303.55

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, GLM-5.3-Flash: 34.2 (#47)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Dolly 2.0-12b: 15.3 (#316), GLM-5.3-Flash: 48.0 (#42)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Hard Prompts8041491
Epoch Capabilities Index89.67151.88
ARC-AGI-2—65.8%
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math GLM-5.3-Flash leads

Dolly 2.0-12b: 27.3 (#251), GLM-5.3-Flash: 53.3 (#47)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Math8711500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%

Knowledge Not comparable

Dolly 2.0-12b: —, GLM-5.3-Flash: 58.4 (#36)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
GPQA Diamond—90.2%
LMArena Expert—1513
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, GLM-5.3-Flash: 42.8 (#27)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

Dolly 2.0-12b: 17.4 (#296), GLM-5.3-Flash: 56.0 (#25)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Non-English8361462
LMArena Chinese8361527
LMArena French—1496
LMArena German—1470
LMArena Japanese—1429
LMArena Korean—1446
LMArena Russian—1469
LMArena Spanish—1471

Instruction Following GLM-5.3-Flash leads

Dolly 2.0-12b: 38.7 (#304), GLM-5.3-Flash: 77.5 (#20)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Instruction Following8141478

Long Context Not comparable

Dolly 2.0-12b: —, GLM-5.3-Flash: 45.4 (#39)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Longer Query—1482

Writing & Preference GLM-5.3-Flash leads

Dolly 2.0-12b: 15.2 (#311), GLM-5.3-Flash: 65.3 (#50)

BenchmarkDolly 2.0-12bGLM-5.3-Flash
LMArena Text8511471
LMArena Creative Writing8641442
LMArena Multi-Turn7401467

Frequently asked questions

Is Dolly 2.0-12b better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 25.5 on the Noometry Index.

Is Dolly 2.0-12b or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 23.4 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and GLM-5.3-Flash share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GLM-5.3-Flash has 40.

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