Model comparison

Gemini 2.0 Flash-Lite vs GLM-4.6

GLM-4.6 is the stronger model overall, scoring 41.4 to 37.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GLM-4.6 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 51.7.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Flash-Lite and GLM-4.6 specifications
Gemini 2.0 Flash-LiteGLM-4.6
ProviderGoogleZ.ai (Zhipu)
Noometry Index37.841.4
Released2025-02-052025-09-30
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked3229

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Category by category

Coding GLM-4.6 leads

Gemini 2.0 Flash-Lite: 37.9 (#185), GLM-4.6: 40.1 (#148)

Coding benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Coding13221449
SWE-bench Verified (bash only)—55.4%
LMArena WebDev—1340
SciCode—38.4%
LiveBench Coding47.1%—
ALE-Bench—340.82

Agentic & Tool Use Not comparable

Gemini 2.0 Flash-Lite: —, GLM-4.6: 32.3 (#66)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
Terminal-Bench—24.5%
Berkeley Function Calling Leaderboard—72.4%

Reasoning GLM-4.6 leads

Gemini 2.0 Flash-Lite: 22.0 (#210), GLM-4.6: 23.7 (#172)

Reasoning benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Hard Prompts13241440
Kagi LLM Benchmark—47.4%
CritPt—1.1%
LiveBench Reasoning50.1%—
DTBench52.5%—
LiveBench Data Analysis65.5%—
ForecastBench57.1—
LiveBench54.3%—

Math GLM-4.6 leads

Gemini 2.0 Flash-Lite: 34.1 (#196), GLM-4.6: 39.1 (#111)

Math benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Math13091432
Omni-MATH37.4%—
LiveBench Math58.1%—
FrontierMath (Feb 2025 set)—3.8%
FrontierMath Tier 4 (v1)—2.1%

Knowledge GLM-4.6 leads

Gemini 2.0 Flash-Lite: 35.0 (#189), GLM-4.6: 40.2 (#124)

Knowledge benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Expert13051431
MMLU-Pro72%—
Vectara Hallucination Rate—9.5%
GPQA (HELM)50%—

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 31.2 (#109), GLM-4.6: —

Multimodal benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Vision1100—

Multilingual GLM-4.6 leads

Gemini 2.0 Flash-Lite: 46.0 (#161), GLM-4.6: 53.5 (#66)

Multilingual benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Non-English13231426
LMArena Chinese13391499
LMArena French13471459
LMArena German13061447
LMArena Japanese13011393
LMArena Korean13251400
LMArena Russian13281419
LMArena Spanish13131436

Instruction Following GLM-4.6 leads

Gemini 2.0 Flash-Lite: 70.4 (#163), GLM-4.6: 74.3 (#98)

Instruction Following benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Instruction Following13051410
LiveBench Instruction Following78.3%—
IFEval82.4%—

Long Context GLM-4.6 leads

Gemini 2.0 Flash-Lite: 40.1 (#160), GLM-4.6: 43.4 (#94)

Long Context benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Longer Query13201422

Writing & Preference GLM-4.6 leads

Gemini 2.0 Flash-Lite: 51.7 (#177), GLM-4.6: 61.1 (#90)

Writing & Preference benchmarks
BenchmarkGemini 2.0 Flash-LiteGLM-4.6
LMArena Text13301440
LMArena Creative Writing13191411
LMArena Multi-Turn13071427
EQ-Bench Creative Writing—1411
WildBench79%—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 41.4 to 37.8 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 37.9 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and GLM-4.6 share?

17 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GLM-4.6 has 29.

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