Model comparison

Gemini 1.0 Pro vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.3 on the Noometry Index.

Last verified . 19 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and GLM-5.3-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 9.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemini 1.0 Pro and 93.9% for GLM-5.3-Flash.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 Pro and GLM-5.3-Flash specifications
Gemini 1.0 ProGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index27.351.8
Released2023-12-132026-08-20
WeightsProprietaryOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked2440

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

Category by category

Coding GLM-5.3-Flash leads

Gemini 1.0 Pro: 32.2 (#275), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Coding11081508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
ALE-Bench—303.55
HumanEval+55.5%—
MBPP+61.4%—

Agentic & Tool Use Not comparable

Gemini 1.0 Pro: —, GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Gemini 1.0 Pro: 17.1 (#296), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Hard Prompts11091491
Epoch Capabilities Index117.04151.88
ARC-AGI-2—65.8%
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
DTBench45.9%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15

Math GLM-5.3-Flash leads

Gemini 1.0 Pro: 9.3 (#321), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
OTIS Mock AIME 2024-20251.1%93.9%
LMArena Math11321500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
ProofBench—21%
MATH Level 511.2%—

Knowledge GLM-5.3-Flash leads

Gemini 1.0 Pro: 15.6 (#291), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
GPQA Diamond34%90.2%
LMArena Expert10591513
MMLU70%—

Multimodal Not comparable

Gemini 1.0 Pro: —, GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

Gemini 1.0 Pro: 33.4 (#252), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Non-English11381462
LMArena Chinese11241527
LMArena French11451496
LMArena German11251470
LMArena Japanese10231429
LMArena Russian11861469
LMArena Spanish11191471
LMArena Korean—1446

Instruction Following GLM-5.3-Flash leads

Gemini 1.0 Pro: 57.6 (#267), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Instruction Following11141478

Long Context GLM-5.3-Flash leads

Gemini 1.0 Pro: 34.3 (#249), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Longer Query11321482

Writing & Preference GLM-5.3-Flash leads

Gemini 1.0 Pro: 36.0 (#264), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
BenchmarkGemini 1.0 ProGLM-5.3-Flash
LMArena Text11491471
LMArena Creative Writing11311442
LMArena Multi-Turn11391467

Frequently asked questions

Is Gemini 1.0 Pro better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 27.3 on the Noometry Index.

Is Gemini 1.0 Pro or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 32.2 in the Noometry coding category.

How many benchmarks do Gemini 1.0 Pro and GLM-5.3-Flash share?

19 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and GLM-5.3-Flash has 40.

Related comparisons

Go deeper