Model comparison

Gemini 2.5 Flash-Lite vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 11× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

Gemini 2.5 Flash-Lite

Google

37.0

Rank #211 Confirmed

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Summary

They share 17 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GLM-5V-Turbo in 9 categories; 9 gaps are clear of the uncertainty.
The widest gap is in multimodal, where GLM-5V-Turbo leads 40.9 to 29.1.
Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 200K.

Side by side

Gemini 2.5 Flash-Lite and GLM-5V-Turbo specifications
	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
Provider	Google	Z.ai (Zhipu)
Noometry Index	37.0	43.8
Released	2025-06-17	2026-04-01
Weights	Proprietary	Proprietary
Context window	1.05M	200K
Max output	66K	131K
Input $ / M tokens	$0.10	$1.20
Output $ / M tokens	$0.40	$4
Results tracked	33	19

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Category by category

Coding GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 38.5 (#173), GLM-5V-Turbo: 42.1 (#111)

Coding benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Coding	1373	1466
LMArena WebDev	—	1401
WeirdML	35.2%	—
ALE-Bench	325.9	—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), GLM-5V-Turbo: —

Agentic & Tool Use benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
Berkeley Function Calling Leaderboard	36.9%	—

Reasoning GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 22.2 (#205), GLM-5V-Turbo: 29.7 (#89)

Reasoning benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Hard Prompts	1377	1443
Kagi LLM Benchmark	40.5%	—
DTBench	62.8%	—
LMCA	18.1%	—
Epoch Capabilities Index	133.94	—

Math GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 38.0 (#144), GLM-5V-Turbo: 39.4 (#106)

Math benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Math	1373	1441
Omni-MATH	48%	—

Knowledge GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 32.5 (#210), GLM-5V-Turbo: 40.6 (#117)

Knowledge benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Expert	1373	1452
MMLU-Pro	53.7%	—
Vectara Hallucination Rate	3.3%	—
GPQA (HELM)	30.9%	—

Multimodal GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 29.1 (#114), GLM-5V-Turbo: 40.9 (#42)

Multimodal benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Vision	1198	1264
VPCT	30%	—
LMArena Document	—	1416

Multilingual GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 49.3 (#134), GLM-5V-Turbo: 53.0 (#73)

Multilingual benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Non-English	1369	1420
LMArena Chinese	1404	1488
LMArena French	1388	1444
LMArena German	1389	1423
LMArena Korean	1360	1396
LMArena Russian	1373	1431
LMArena Spanish	1396	1450
LMArena Japanese	1359	—

Instruction Following GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 70.0 (#168), GLM-5V-Turbo: 75.0 (#80)

Instruction Following benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Instruction Following	1367	1423
IFEval	81%	—

Long Context GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 33.3 (#262), GLM-5V-Turbo: 44.0 (#80)

Long Context benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Longer Query	1373	1438
Fiction.LiveBench	47.2%	—

Writing & Preference GLM-5V-Turbo leads

Gemini 2.5 Flash-Lite: 56.8 (#135), GLM-5V-Turbo: 62.5 (#73)

Writing & Preference benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-5V-Turbo
LMArena Text	1379	1437
LMArena Creative Writing	1367	1416
LMArena Multi-Turn	1366	1432
WildBench	81.8%	—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than GLM-5V-Turbo?

Which is cheaper, Gemini 2.5 Flash-Lite or GLM-5V-Turbo?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is Gemini 2.5 Flash-Lite or GLM-5V-Turbo better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 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 200K.

How many benchmarks do Gemini 2.5 Flash-Lite and GLM-5V-Turbo share?

17 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-5V-Turbo has 19.