Model comparison

Gemini 2.5 Flash-Lite vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 41.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 2.6× less per token, which makes it the better buy when GLM-4.6V's lead doesn't matter for your workload.

Last verified October 10, 2026. 12 shared benchmarks.

Gemini 2.5 Flash-Lite

Google

37.0

Rank #211 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

They share 12 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and GLM-4.6V in 6 categories; 6 gaps are clear of the uncertainty.
The widest gap is in long context, where GLM-4.6V leads 41.3 to 33.3.
Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 128K.
GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and GLM-4.6V specifications
	Gemini 2.5 Flash-Lite	GLM-4.6V
Provider	Google	Z.ai (Zhipu)
Noometry Index	37.0	41.3
Released	2025-06-17	2025-12-08
Weights	Proprietary	Open
Context window	1.05M	128K
Max output	66K	33K
Input $ / M tokens	$0.10	$0.30
Output $ / M tokens	$0.40	$0.90
Results tracked	33	12

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Category by category

Coding GLM-4.6V leads

Gemini 2.5 Flash-Lite: 38.5 (#173), GLM-4.6V: 40.9 (#128)

Coding benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Coding	1373	1390
WeirdML	35.2%	—
ALE-Bench	325.9	—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), GLM-4.6V: —

Agentic & Tool Use benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
Berkeley Function Calling Leaderboard	36.9%	—

Reasoning GLM-4.6V leads

Gemini 2.5 Flash-Lite: 22.2 (#205), GLM-4.6V: 27.6 (#115)

Reasoning benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Hard Prompts	1377	1368
Kagi LLM Benchmark	40.5%	—
DTBench	62.8%	—
LMCA	18.1%	—
Epoch Capabilities Index	133.94	—

Math Not comparable

Gemini 2.5 Flash-Lite: 38.0 (#144), GLM-4.6V: —

Math benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
Omni-MATH	48%	—
LMArena Math	1373	—

Knowledge GLM-4.6V leads

Gemini 2.5 Flash-Lite: 32.5 (#210), GLM-4.6V: 38.0 (#149)

Knowledge benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Expert	1373	1371
MMLU-Pro	53.7%	—
Vectara Hallucination Rate	3.3%	—
GPQA (HELM)	30.9%	—

Multimodal GLM-4.6V leads

Gemini 2.5 Flash-Lite: 29.1 (#114), GLM-4.6V: 34.8 (#90)

Multimodal benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Vision	1198	1164
VPCT	30%	—

Multilingual Too close to call

Gemini 2.5 Flash-Lite: 49.3 (#134), GLM-4.6V: 48.6 (#141)

Multilingual benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Non-English	1369	1359
LMArena Chinese	1404	1425
LMArena Russian	1373	1340
LMArena French	1388	—
LMArena German	1389	—
LMArena Japanese	1359	—
LMArena Korean	1360	—
LMArena Spanish	1396	—

Instruction Following GLM-4.6V leads

Gemini 2.5 Flash-Lite: 70.0 (#168), GLM-4.6V: 71.4 (#151)

Instruction Following benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Instruction Following	1367	1352
IFEval	81%	—

Long Context GLM-4.6V leads

Gemini 2.5 Flash-Lite: 33.3 (#262), GLM-4.6V: 41.3 (#143)

Long Context benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Longer Query	1373	1358
Fiction.LiveBench	47.2%	—

Writing & Preference Too close to call

Gemini 2.5 Flash-Lite: 56.8 (#135), GLM-4.6V: 56.6 (#137)

Writing & Preference benchmarks
Benchmark	Gemini 2.5 Flash-Lite	GLM-4.6V
LMArena Text	1379	1377
LMArena Creative Writing	1367	1347
LMArena Multi-Turn	1366	1360
WildBench	81.8%	—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than GLM-4.6V?

Which is cheaper, Gemini 2.5 Flash-Lite or GLM-4.6V?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is Gemini 2.5 Flash-Lite or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 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 128K.

How many benchmarks do Gemini 2.5 Flash-Lite and GLM-4.6V share?

12 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GLM-4.6V has 12.