Noometry

Model comparison

Gemini 2.5 Flash-Lite vs GLM-4.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GLM-4.5 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 22.2.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 57.9% for GLM-4.5.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteGLM-4.5
ProviderGoogleZ.ai (Zhipu)
Noometry Index37.042.0
Released2025-06-172025-07-27
WeightsProprietaryOpen
Context window1.05M131K
Max output66K98K
Input $ / M tokens$0.10$0.60
Output $ / M tokens$0.40$2.20
Results tracked3327

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Category by category

Coding GLM-4.5 leads

Gemini 2.5 Flash-Lite: 38.5 (#173), GLM-4.5: 41.4 (#125)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
WeirdML35.2%40.6%
LMArena Coding13731434
ALE-Bench325.9344.82
SWE-bench Verified (bash only)—54.2%
AlgoTune—1.52

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), GLM-4.5: —

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
Berkeley Function Calling Leaderboard36.9%—

Reasoning GLM-4.5 leads

Gemini 2.5 Flash-Lite: 22.2 (#205), GLM-4.5: 28.6 (#100)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
Kagi LLM Benchmark40.5%57.9%
LMArena Hard Prompts13771429
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math GLM-4.5 leads

Gemini 2.5 Flash-Lite: 38.0 (#144), GLM-4.5: 39.0 (#116)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Math13731427
Omni-MATH48%—

Knowledge GLM-4.5 leads

Gemini 2.5 Flash-Lite: 32.5 (#210), GLM-4.5: 35.9 (#179)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Expert13731433
Humanity's Last Exam—8.3%
MMLU-Pro53.7%—
Confabulations—11.3%
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), GLM-4.5: —

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Vision1198—
VPCT30%—

Multilingual GLM-4.5 leads

Gemini 2.5 Flash-Lite: 49.3 (#134), GLM-4.5: 52.8 (#77)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Non-English13691417
LMArena Chinese14041465
LMArena French13881418
LMArena German13891407
LMArena Japanese13591415
LMArena Korean13601380
LMArena Russian13731414
LMArena Spanish13961454

Instruction Following GLM-4.5 leads

Gemini 2.5 Flash-Lite: 70.0 (#168), GLM-4.5: 74.1 (#104)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Instruction Following13671404
IFEval81%—

Long Context GLM-4.5 leads

Gemini 2.5 Flash-Lite: 33.3 (#262), GLM-4.5: 38.2 (#201)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
Fiction.LiveBench47.2%58.3%
LMArena Longer Query13731412

Writing & Preference Too close to call

Gemini 2.5 Flash-Lite: 56.8 (#135), GLM-4.5: 57.5 (#127)

BenchmarkGemini 2.5 Flash-LiteGLM-4.5
LMArena Text13791430
LMArena Creative Writing13671395
LMArena Multi-Turn13661415
Short-Story Creative Writing—73.4%
EQ-Bench Creative Writing—1343
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Flash-Lite or GLM-4.5?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is Gemini 2.5 Flash-Lite or GLM-4.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Flash-Lite and GLM-4.5 share?

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-4.5 has 27.

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