Model comparison

Gemini 2.0 Pro vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 38.6 on the Noometry Index.

Last verified . 2 shared benchmarks.

Gemini 2.0 Pro Google

38.6

Rank #171 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Gemini 2.0 Pro scores higher in 0 categories and GLM-5.3-Flash in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 36.5.
  • The biggest single-benchmark swing is GPQA Diamond: 65.7% for Gemini 2.0 Pro and 90.2% for GLM-5.3-Flash.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Pro and GLM-5.3-Flash specifications
Gemini 2.0 ProGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index38.649.6
Released2025-02-052026-08-20
WeightsProprietaryOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked1436

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Category by category

Coding GLM-5.3-Flash leads

Gemini 2.0 Pro: 37.4 (#182), GLM-5.3-Flash: 53.7 (#26)

Coding benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
DeepSWE—63.4%
FrontierCode—31.8%
Aider Polyglot35.6%—
LMArena WebDev—1614
SciCode—51.6%
LiveBench Coding63.5%—
LMArena Coding—1506
ALE-Bench—303.55

Agentic & Tool Use Not comparable

Gemini 2.0 Pro: —, GLM-5.3-Flash: 34.3 (#41)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Gemini 2.0 Pro: 21.6 (#194), GLM-5.3-Flash: 31.7 (#69)

Reasoning benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
Epoch Capabilities Index135.06151.9
CritPt—15.4%
Chess Puzzles—14%
EnigmaEval0.7%—
LiveBench Reasoning60.1%—
LMArena Hard Prompts—1490
Mystery Game Puzzles—8%
LiveBench Data Analysis68%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
LiveBench65.1%—

Math GLM-5.3-Flash leads

Gemini 2.0 Pro: 37.1 (#101), GLM-5.3-Flash: 53.1 (#38)

Math benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
LiveBench Math71%—
LMArena Math—1499
MATH Level 583.5%—

Knowledge GLM-5.3-Flash leads

Gemini 2.0 Pro: 36.5 (#156), GLM-5.3-Flash: 58.4 (#33)

Knowledge benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
GPQA Diamond65.7%90.2%
Confabulations18.4%—
LMArena Expert—1512

Multimodal Not comparable

Gemini 2.0 Pro: —, GLM-5.3-Flash: 42.6 (#25)

Multimodal benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
LMArena Vision—1304

Multilingual Not comparable

Gemini 2.0 Pro: —, GLM-5.3-Flash: 56.2 (#24)

Multilingual benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
LMArena Non-English—1462
LMArena Chinese—1529
LMArena French—1495
LMArena German—1457
LMArena Japanese—1420
LMArena Korean—1443
LMArena Russian—1472
LMArena Spanish—1471

Instruction Following GLM-5.3-Flash leads

Gemini 2.0 Pro: 75.6 (#57), GLM-5.3-Flash: 77.8 (#17)

Instruction Following benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
LiveBench Instruction Following83.4%—
LMArena Instruction Following—1480

Long Context GLM-5.3-Flash leads

Gemini 2.0 Pro: 29.1 (#287), GLM-5.3-Flash: 45.3 (#41)

Long Context benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
Fiction.LiveBench41.7%—
LMArena Longer Query—1479

Writing & Preference GLM-5.3-Flash leads

Gemini 2.0 Pro: 52.7 (#164), GLM-5.3-Flash: 65.4 (#49)

Writing & Preference benchmarks
BenchmarkGemini 2.0 ProGLM-5.3-Flash
LMArena Text—1471
LMArena Creative Writing—1440
LMArena Multi-Turn—1471
LiveBench Language44.9%—

Frequently asked questions

Is Gemini 2.0 Pro better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 38.6 on the Noometry Index.

Is Gemini 2.0 Pro or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 37.4 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Pro and GLM-5.3-Flash share?

2 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and GLM-5.3-Flash has 36.

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