Model comparison

Gemini 2.5 Flash-Lite vs GLM-4.5V

GLM-4.5V is the stronger model overall, scoring 39.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.1× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified October 10, 2026. 15 shared benchmarks.

Gemini 2.5 Flash-Lite

Google

37.0

Rank #211 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Summary

They share 15 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 4 categories and GLM-4.5V in 5 categories; 6 gaps are clear of the uncertainty.
The widest gap is in long context, where GLM-4.5V leads 39.6 to 33.3.
The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 59.8% for GLM-4.5V.
Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 64K.
GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and GLM-4.5V specifications
	Gemini 2.5 Flash-Lite	GLM-4.5V
Provider	Google	Z.ai (Zhipu)
Noometry Index	37.0	39.8
Released	2025-06-17	2025-08-11
Weights	Proprietary	Open
Context window	1.05M	64K
Max output	66K	16K
Input $ / M tokens	$0.10	$0.60
Output $ / M tokens	$0.40	$1.80
Results tracked	33	15

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Category by category

Coding Too close to call

Gemini 2.5 Flash-Lite: 38.5 (#173), GLM-4.5V: 39.5 (#155)

Coding benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Coding	1373	1347
WeirdML	35.2%	—
ALE-Bench	325.9	—

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
Berkeley Function Calling Leaderboard	36.9%	—

Reasoning GLM-4.5V leads

Gemini 2.5 Flash-Lite: 22.2 (#205), GLM-4.5V: 27.4 (#119)

Reasoning benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
Kagi LLM Benchmark	40.5%	59.8%
LMArena Hard Prompts	1377	1334
DTBench	62.8%	—
LMCA	18.1%	—
Epoch Capabilities Index	133.94	—

Math Too close to call

Gemini 2.5 Flash-Lite: 38.0 (#144), GLM-4.5V: 37.4 (#159)

Math benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Math	1373	1354
Omni-MATH	48%	—

Knowledge GLM-4.5V leads

Gemini 2.5 Flash-Lite: 32.5 (#210), GLM-4.5V: 37.5 (#156)

Knowledge benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Expert	1373	1353
MMLU-Pro	53.7%	—
Vectara Hallucination Rate	3.3%	—
GPQA (HELM)	30.9%	—

Multimodal GLM-4.5V leads

Gemini 2.5 Flash-Lite: 29.1 (#114), GLM-4.5V: 34.3 (#92)

Multimodal benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Vision	1198	1154
VPCT	30%	—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), GLM-4.5V: 44.6 (#177)

Multilingual benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Non-English	1369	1303
LMArena Chinese	1404	1337
LMArena Russian	1373	1298
LMArena Spanish	1396	1336
LMArena French	1388	—
LMArena German	1389	—
LMArena Japanese	1359	—
LMArena Korean	1360	—

Instruction Following Too close to call

Gemini 2.5 Flash-Lite: 70.0 (#168), GLM-4.5V: 69.2 (#175)

Instruction Following benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Instruction Following	1367	1311
IFEval	81%	—

Long Context GLM-4.5V leads

Gemini 2.5 Flash-Lite: 33.3 (#262), GLM-4.5V: 39.6 (#171)

Long Context benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Longer Query	1373	1304
Fiction.LiveBench	47.2%	—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), GLM-4.5V: 52.5 (#170)

Writing & Preference benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.5V
LMArena Text	1379	1333
LMArena Creative Writing	1367	1295
LMArena Multi-Turn	1366	1332
WildBench	81.8%	—

Frequently asked questions

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

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

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

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

They score almost the same on coding (38.5 vs 39.5); test both on your own repository before choosing.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 64K.

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

15 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-4.5V has 15.