Noometry

Model comparison

Gemini 2.5 Flash-Lite vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 36.4 on the Noometry Index.

Last verified . 20 shared benchmarks.

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GLM-5.3-Flash in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 32.1.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index36.449.6
Released2025-06-172026-08-20
WeightsProprietaryOpen
Context window1.05M1M
Max output66K131K
Input $ / M tokens$0.10$0.15
Output $ / M tokens$0.40$0.50
Results tracked3336

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Category by category

Coding GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 38.0 (#167), GLM-5.3-Flash: 53.7 (#26)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Coding13731506
ALE-Bench325.9303.55
DeepSWE—63.4%
FrontierCode—31.8%
LMArena WebDev—1614
SciCode—51.6%
WeirdML35.2%—

Agentic & Tool Use GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 27.8 (#89), GLM-5.3-Flash: 34.3 (#41)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
APEX-Agents—52.8%
Berkeley Function Calling Leaderboard36.9%—
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 21.5 (#196), GLM-5.3-Flash: 31.7 (#69)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Hard Prompts13771490
Epoch Capabilities Index133.93151.9
Kagi LLM Benchmark40.5%—
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
DTBench62.8%—
LMCA18.1%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15

Math GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 35.5 (#144), GLM-5.3-Flash: 53.1 (#38)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Math13731499
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
Omni-MATH48%—

Knowledge GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 32.1 (#206), GLM-5.3-Flash: 58.4 (#33)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Expert13731512
GPQA Diamond—90.2%
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—

Multimodal GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 28.6 (#109), GLM-5.3-Flash: 42.6 (#25)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Vision11981304
VPCT30%—

Multilingual GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 49.5 (#129), GLM-5.3-Flash: 56.2 (#24)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Non-English13691462
LMArena Chinese14041529
LMArena French13881495
LMArena German13901457
LMArena Japanese13591420
LMArena Korean13581443
LMArena Russian13731472
LMArena Spanish13961471

Instruction Following GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 70.2 (#163), GLM-5.3-Flash: 77.8 (#17)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Instruction Following13661480
IFEval81%—

Long Context GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 33.3 (#257), GLM-5.3-Flash: 45.3 (#41)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Longer Query13731479
Fiction.LiveBench47.2%—

Writing & Preference GLM-5.3-Flash leads

Gemini 2.5 Flash-Lite: 57.0 (#130), GLM-5.3-Flash: 65.4 (#49)

BenchmarkGemini 2.5 Flash-LiteGLM-5.3-Flash
LMArena Text13791471
LMArena Creative Writing13661440
LMArena Multi-Turn13671471
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 36.4 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or GLM-5.3-Flash?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

Is Gemini 2.5 Flash-Lite or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 38.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.

How many benchmarks do Gemini 2.5 Flash-Lite and GLM-5.3-Flash share?

20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-5.3-Flash has 36.

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