Gemini 3.5 Flash Lite vs GLM 5.3 Flash

GLM 5.3 Flash leads Gemini 3.5 Flash Lite on coding, 57.7 to 49.0 on the Vibe Coding Index, and GLM 5.3 Flash costs 5.0x less per output token ($0.50 vs $2.50 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Replace Gemini 3.5 Flash Lite Replace GLM 5.3 Flash

Gemini 3.5 Flash LiteGoogle

Coding: 49.0
Overall: 49.8
Output $/M: $2.50

GLM 5.3 FlashZ.ai

Coding: 57.7
Overall: 66.0
Output $/M: $0.50

vs boards won of 75 shared, 2 tied

Gemini 3.5 Flash Lite or GLM 5.3 Flash: which to pick

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for work measured by Vibe Code Bench (Vals AI) or ALE-Bench, where it leads.

Model AGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved task Model BGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task

751027

Shared results: 75
Gemini 3.5 Flash Lite only: 10
GLM 5.3 Flash only: 27
Like-for-like categories: 7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
GLM 5.3 Flash
GLM 5.3 Flash scores 57.7 against 49.0.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 41.8 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 50.9 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.4% against 83.8%.
Same board, both measured
Knowledge
MMLU Pro
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.1% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GLM 5.3 Flash has a Design Arena: websites result, 1272.
Directional only
General
Vals Index
No call
Only GLM 5.3 Flash has a Vals Index result, 50.9%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
Gemini 3.5 Flash Lite $0.0015, GLM 5.3 Flash $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.3 Flash
Gemini 3.5 Flash Lite $0.41, GLM 5.3 Flash $0.02.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, GLM 5.3 Flash 57.7 from 6 benchmarks.
Widest category: Agentic work, 23.1 points apart on average over 6 shared benchmarks.
Widest single gap: ARC-AGI-2: Gemini 3.5 Flash Lite 10.3% against GLM 5.3 Flash 65.8%, 55.6 points apart on a 0 to 100 scale.
Output price: Gemini 3.5 Flash Lite $2.50 against GLM 5.3 Flash $0.50 per million output tokens, 5.0x apart.
Context window: Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Ties
Coding	2	12	1 tie
Intelligence	0	2
Agentic work	0	6
Reasoning	1	12	1 tie
Math	0	6
Knowledge	1	6
General	1	24
All shared boards	5	68	2 ties

CodingLike-for-likeSix of these boards feed the Vibe Coding Index212

Coding benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
LiveBench coding	Not measured	80.6%	Only GLM 5.3 Flash measured
LMArena WebDev	1435	1607	GLM 5.3 Flash
AA Coding Index	49.3	71.5	GLM 5.3 Flash
LiveCodeBench (Vals AI)	79.0%	80.5%	GLM 5.3 Flash
SWE-bench Verified (Vals AI)	75.0%	92.0%	GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)	Not measured	37.4%	Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)	37.2%	30.8%	Gemini 3.5 Flash Lite
Code migration (Vals AI)	6.2%	20.5%	GLM 5.3 Flash
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	Not measured	52.5%	Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)	50.2%	62.9%	GLM 5.3 Flash
Vibe Code Bench 1-100 (Vals AI)	Not measured	16.0%	Only GLM 5.3 Flash measured
SkillsBench (Vals AI)	Not measured	40.2%	Only GLM 5.3 Flash measured
CyberBench (Vals AI)	59.1%	67.9%	GLM 5.3 Flash
SciCode	41.3%	51.6%	GLM 5.3 Flash
FrontierCode	Not measured	31.8%	Only GLM 5.3 Flash measured
FrontierSWE	Not measured	18.1%	Only GLM 5.3 Flash measured
WeirdML	39.0%	Not measured	Only Gemini 3.5 Flash Lite measured
ALE-Bench	765.3	303.6	Gemini 3.5 Flash Lite
LMArena Text: coding	1453	1507	GLM 5.3 Flash
LMArena Text: software and IT	1451	1500	GLM 5.3 Flash
LMArena WebDev: React	1408	1624	GLM 5.3 Flash
LMArena WebDev: HTML	Not measured	1577	Only GLM 5.3 Flash measured
LMArena WebDev: from an image	1448	1578	GLM 5.3 Flash
SciCode	6.2%	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
AA Intelligence Index	22.2	41.8	GLM 5.3 Flash
Epoch Capabilities Index	144.9	153.1	GLM 5.3 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index06

Agentic work benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
AA Agentic Index	14.3	50.9	GLM 5.3 Flash
LiveBench research	Not measured	70.1%	Only GLM 5.3 Flash measured
LiveBench browser	Not measured	84.0%	Only GLM 5.3 Flash measured
LiveBench long agentic	Not measured	28.4%	Only GLM 5.3 Flash measured
SREBench (Vals AI)	Not measured	0.8%	Only GLM 5.3 Flash measured
Finance Agent (Vals AI)	47.4%	57.9%	GLM 5.3 Flash
Tax Agent Bench (Vals AI)	7.2%	31.6%	GLM 5.3 Flash
Legal Research Bench (Vals AI)	13.9%	45.2%	GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	10.4%	Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)	43.2%	55.9%	GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)	Not measured	2.9%	Only GLM 5.3 Flash measured
APEX-Agents	29.3%	52.8%	GLM 5.3 Flash
Neither model has a result on the other 29 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index112

Reasoning benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
GPQA Diamond	83.8%	86.4%	GLM 5.3 Flash
LiveBench reasoning	Not measured	77.6%	Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)	83.6%	86.0%	GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)	83.8%	91.2%	GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)	18.8%	39.9%	GLM 5.3 Flash
GPQA Diamond (Epoch AI run)	83.3%	90.2%	GLM 5.3 Flash
ARC-AGI	53.5%	91.0%	GLM 5.3 Flash
ARC-AGI-2	10.3%	65.8%	GLM 5.3 Flash
Chess puzzles	21.0%	21.0%	Tie
Mystery game puzzles	19.0%	8.0%	Gemini 3.5 Flash Lite
LMArena Text: hard prompts	1441	1490	GLM 5.3 Flash
LMArena Text: expert	1434	1511	GLM 5.3 Flash
LMArena Text: hard prompts in English	1440	1488	GLM 5.3 Flash
LMArena Vision: diagrams	1284	1317	GLM 5.3 Flash
LMArena Vision: homework	1291	1318	GLM 5.3 Flash
Neither model has a result on the other 7 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index06

Math benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
OTIS Mock AIME	71.1%	93.9%	GLM 5.3 Flash
FrontierMath, tiers 1 to 3	26.0%	55.8%	GLM 5.3 Flash
FrontierMath, tier 4	0.0%	17.1%	GLM 5.3 Flash
ProofBench	13.0%	21.0%	GLM 5.3 Flash
LMArena Text: math	1434	1503	GLM 5.3 Flash
LMArena Text: mathematical work	1433	1497	GLM 5.3 Flash
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index16

Knowledge benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
MMLU Pro	85.8%	86.1%	GLM 5.3 Flash
LegalBench (Vals AI)	84.1%	83.9%	Gemini 3.5 Flash Lite
CorpFin (Vals AI)	60.7%	Not measured	Only Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)	72.6%	75.6%	GLM 5.3 Flash
MortgageTax (Vals AI)	68.7%	Not measured	Only Gemini 3.5 Flash Lite measured
MedCode (Vals AI)	43.5%	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: science	1451	1484	GLM 5.3 Flash
LMArena Text: medicine and healthcare	1438	1475	GLM 5.3 Flash
LMArena Text: legal and government	1431	1473	GLM 5.3 Flash
LMArena Text: business and finance	1423	1460	GLM 5.3 Flash
FACTS Benchmark Suite	53.5%	Not measured	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared

Web design benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
Design Arena: websites	Not measured	1272	Only GLM 5.3 Flash measured
Design Arena: UI components	Not measured	1316	Only GLM 5.3 Flash measured
Design Arena: game dev	Not measured	1278	Only GLM 5.3 Flash measured
Design Arena: data viz	Not measured	1262	Only GLM 5.3 Flash measured
Design Arena: 3D	Not measured	1316	Only GLM 5.3 Flash measured
Design Arena: all code categories	Not measured	1282	Only GLM 5.3 Flash measured
Design Arena: SVG	Not measured	1285	Only GLM 5.3 Flash measured
Design Arena: ASCII art	Not measured	1267	Only GLM 5.3 Flash measured
LiveBench design	Not measured	77.2%	Only GLM 5.3 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index124

General benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
Vals Index	Not measured	50.9%	Only GLM 5.3 Flash measured
LiveBench data analysis	Not measured	76.4%	Only GLM 5.3 Flash measured
Public Benefits Bench (Vals AI)	51.8%	Not measured	Only Gemini 3.5 Flash Lite measured
SAGE (Vals AI)	47.3%	Not measured	Only Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)	70.9%	88.9%	GLM 5.3 Flash
Long context reasoning (AA-LCR)	76.0%	80.0%	GLM 5.3 Flash
DTBench	83.5%	Not measured	Only Gemini 3.5 Flash Lite measured
LMCA	37.6%	Not measured	Only Gemini 3.5 Flash Lite measured
Surface Evolver Bench	Not measured	52.5%	Only GLM 5.3 Flash measured
LMArena Text	1435	1471	GLM 5.3 Flash
LMArena Text: instruction following	1419	1478	GLM 5.3 Flash
LMArena Text: creative writing	1421	1441	GLM 5.3 Flash
LMArena Vision	1269	1294	GLM 5.3 Flash
LMArena Text: English	1438	1474	GLM 5.3 Flash
LMArena Text: non-English	1427	1462	GLM 5.3 Flash
LMArena Text: Chinese	1468	1531	GLM 5.3 Flash
LMArena Text: German	1454	1462	GLM 5.3 Flash
LMArena Text: Japanese	1426	1444	GLM 5.3 Flash
LMArena Text: Korean	1407	1436	GLM 5.3 Flash
LMArena Text: French	1451	1491	GLM 5.3 Flash
LMArena Text: Spanish	1441	1475	GLM 5.3 Flash
LMArena Text: Russian	1443	1465	GLM 5.3 Flash
LMArena Text: Polish	1437	1450	GLM 5.3 Flash
LMArena Text: multi-turn	1445	1469	GLM 5.3 Flash
LMArena Text: longer queries	1435	1481	GLM 5.3 Flash
LMArena Text: writing and language	1428	1455	GLM 5.3 Flash
LMArena Text: entertainment and media	1414	1440	GLM 5.3 Flash
LMArena Vision: English	1269	1295	GLM 5.3 Flash
LMArena Vision: Chinese	1311	1363	GLM 5.3 Flash
LMArena Vision: reading text	1280	1299	GLM 5.3 Flash
LMArena Vision: humor	1287	1279	Gemini 3.5 Flash Lite
LMArena Vision: creative writing	1260	1270	GLM 5.3 Flash
Neither model has a result on the other 14 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.5 Flash Lite and GLM 5.3 Flash
Benchmark	Gemini 3.5 Flash Lite	GLM 5.3 Flash	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.5 Flash Lite$0.0015Fits in one request

GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request

GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request

GLM 5.3 Flash$0.035Fits in one request

GLM 5.3 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.5 Flash Lite and GLM 5.3 Flash
Specification	Google Gemini 3.5 Flash Lite	Z.ai GLM 5.3 Flash
Maker	Google	Z.ai
Weights	No public weights listed	Open weights
Released	July 21, 2026	August 26, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.30	$0.15
Output $/Mtok	$2.50	$0.50
Coding index	49.0	57.7
Independent measurements behind it	3	6
Cost per solved task	$0.41	$0.02
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than GLM 5.3 Flash for coding?

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for work measured by Vibe Code Bench (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or GLM 5.3 Flash?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GLM 5.3 Flash $0.02.

Which has the bigger context window, Gemini 3.5 Flash Lite or GLM 5.3 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash Lite vs GLM 5.3 Flash comparison based on?

75 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and GLM 5.3 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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Gemini 3.5 Flash Lite or GLM 5.3 Flash: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next