Gemini 3.1 Flash Lite Preview vs GLM 5.3

GLM 5.3 leads Gemini 3.1 Flash Lite Preview on coding, 70.6 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 2.9x less per output token ($1.50 vs $4.40 per million). Updated October 22, 2026; 59 benchmarks have a result for both.

Replace Gemini 3.1 Flash Lite Preview Replace GLM 5.3

Gemini 3.1 Flash Lite PreviewGoogle

Coding: 22.7
Overall: 36.6
Output $/M: $1.50

GLM 5.3Z.ai

Coding: 70.6
Overall: 67.9
Output $/M: $4.40

vs boards won of 59 shared

Gemini 3.1 Flash Lite Preview or GLM 5.3: which to pick

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview.

Pick Gemini 3.1 Flash Lite Preview for output tokens 2.9x cheaper ($1.50 vs $4.40 per million) and a lower cost per solved task ($0.18 against $0.36).

Model AGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved task Model BGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved task

592041

Shared results: 59
Gemini 3.1 Flash Lite Preview only: 20
GLM 5.3 only: 41
Like-for-like categories: 8 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
GLM 5.3 scores 70.6 against 22.7.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
GLM 5.3
GLM 5.3 leads, 44.8 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
GLM 5.3
GLM 5.3 leads, 53.1 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
GLM 5.3
GLM 5.3 leads, 88.1% against 81.1%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Flash Lite Preview has a AIME result, 83.3%.
Directional only
Knowledge
MMLU Pro
GLM 5.3
GLM 5.3 leads, 86.8% against 86.2%.
Same board, both measured
Web design
Design Arena: websites
GLM 5.3
GLM 5.3 leads, 1295 against 1082.
Same board, both measured
General
Vals Index
No call
Only GLM 5.3 has a Vals Index result, 59.7%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview $0.0010, GLM 5.3 $0.0036 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview $0.18, GLM 5.3 $0.36.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.1 Flash Lite Preview 22.7 from 3 benchmarks, GLM 5.3 70.6 from 6 benchmarks.
Widest category: Agentic work, 41.5 points apart on average over 5 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GLM 5.3 78.1%, 78.1 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Flash Lite Preview $1.50 against GLM 5.3 $4.40 per million output tokens, 2.9x 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 3.1 Flash Lite Preview	GLM 5.3
Coding	0	13
Intelligence	0	1
Agentic work	0	5
Reasoning	0	4
Math	0	2
Knowledge	1	7
Web design	0	8
General	0	18
All shared boards	1	58

CodingLike-for-likeSix of these boards feed the Vibe Coding Index013

Coding benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
LiveBench coding	Not measured	82.8%	Only GLM 5.3 measured
LMArena WebDev	1257	1621	GLM 5.3
AA Coding Index	34.7	74.8	GLM 5.3
LiveCodeBench (Vals AI)	80.1%	80.5%	GLM 5.3
SWE-bench Verified (Vals AI)	62.8%	95.4%	GLM 5.3
Terminal-Bench 4 (Vals AI)	Not measured	38.9%	Only GLM 5.3 measured
Vibe Code Bench (Vals AI)	0.0%	78.1%	GLM 5.3
Code migration (Vals AI)	4.6%	44.2%	GLM 5.3
ProgramBench (Vals AI)	0.0%	1.5%	GLM 5.3
IOI (Vals AI)	Not measured	68.4%	Only GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)	34.1%	71.5%	GLM 5.3
Vibe Code Bench 1-100 (Vals AI)	Not measured	20.0%	Only GLM 5.3 measured
SkillsBench (Vals AI)	Not measured	47.5%	Only GLM 5.3 measured
CyberBench (Vals AI)	Not measured	72.1%	Only GLM 5.3 measured
SciCode	Not measured	59.0%	Only GLM 5.3 measured
FrontierCode	Not measured	40.1%	Only GLM 5.3 measured
FrontierSWE	Not measured	30.2%	Only GLM 5.3 measured
WeirdML	Not measured	75.4%	Only GLM 5.3 measured
ALE-Bench	797.7	1317.4	GLM 5.3
LMArena Text: coding	1400	1497	GLM 5.3
LMArena Text: software and IT	1413	1493	GLM 5.3
LMArena WebDev: React	1245	1641	GLM 5.3
LMArena WebDev: HTML	1276	1595	GLM 5.3
LMArena WebDev: from an image	1336	Not measured	Only Gemini 3.1 Flash Lite Preview measured
SciCode	4.6%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
AA Intelligence Index	15.6	44.8	GLM 5.3
Epoch Capabilities Index	Not measured	156.0	Only GLM 5.3 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index05

Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
AA Agentic Index	1.6	53.1	GLM 5.3
Design Arena: agents building mobile apps	Not measured	1194	Only GLM 5.3 measured
Design Arena: HTML slides	Not measured	1189	Only GLM 5.3 measured
Design Arena: PowerPoint slides	Not measured	1230	Only GLM 5.3 measured
LiveBench research	Not measured	73.2%	Only GLM 5.3 measured
LiveBench browser	Not measured	0.0%	Only GLM 5.3 measured
LiveBench long agentic	Not measured	35.9%	Only GLM 5.3 measured
SREBench (Vals AI)	Not measured	9.2%	Only GLM 5.3 measured
Finance Agent (Vals AI)	30.0%	55.8%	GLM 5.3
Tax Agent Bench (Vals AI)	3.1%	39.7%	GLM 5.3
Legal Research Bench (Vals AI)	3.4%	49.0%	GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	14.6%	Only GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)	8.6%	56.3%	GLM 5.3
Terminal-Bench-Science (Vals AI)	Not measured	5.7%	Only GLM 5.3 measured
APEX-Agents	Not measured	56.6%	Only GLM 5.3 measured
Vending-Bench 2	Not measured	$8,164	Only GLM 5.3 measured
Neither model has a result on the other 25 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index04

Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
GPQA Diamond	81.1%	88.1%	GLM 5.3
LiveBench reasoning	Not measured	85.8%	Only GLM 5.3 measured
MysteryMechanism (Vals AI)	Not measured	23.0%	Only GLM 5.3 measured
MMMU Pro (Vals AI)	82.5%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
GPQA Diamond (Artificial Analysis run)	Not measured	91.7%	Only GLM 5.3 measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	42.3%	Only GLM 5.3 measured
GPQA Diamond (Epoch AI run)	Not measured	90.9%	Only GLM 5.3 measured
Chess puzzles	Not measured	37.0%	Only GLM 5.3 measured
Mystery game puzzles	Not measured	33.0%	Only GLM 5.3 measured
LMArena Text: hard prompts	1407	1490	GLM 5.3
LMArena Text: expert	1398	1514	GLM 5.3
LMArena Text: hard prompts in English	1403	1496	GLM 5.3
LMArena Vision: diagrams	1242	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: homework	1271	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 8 boards here

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

Math benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
AIME	83.3%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIME	Not measured	91.1%	Only GLM 5.3 measured
FrontierMath, tiers 1 to 3	Not measured	68.8%	Only GLM 5.3 measured
FrontierMath, tier 4	Not measured	29.3%	Only GLM 5.3 measured
ProofBench	Not measured	49.0%	Only GLM 5.3 measured
LMArena Text: math	1428	1495	GLM 5.3
LMArena Text: mathematical work	1417	1497	GLM 5.3
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17

Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
MMLU Pro	86.2%	86.8%	GLM 5.3
LegalBench (Vals AI)	83.8%	84.8%	GLM 5.3
CaseLaw (Vals AI)	55.0%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
CorpFin (Vals AI)	59.4%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
TaxEval (Vals AI)	71.8%	72.4%	GLM 5.3
MortgageTax (Vals AI)	68.0%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
MedCode (Vals AI)	47.6%	42.9%	Gemini 3.1 Flash Lite Preview
SimpleQA Verified	Not measured	41.0%	Only GLM 5.3 measured
LMArena Text: science	1425	1498	GLM 5.3
LMArena Text: medicine and healthcare	1428	1481	GLM 5.3
LMArena Text: legal and government	1418	1473	GLM 5.3
LMArena Text: business and finance	1389	1459	GLM 5.3
FACTS Benchmark Suite	51.4%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index08

Web design benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
Design Arena: websites	1082	1295	GLM 5.3
Design Arena: UI components	1069	1314	GLM 5.3
Design Arena: game dev	1029	1311	GLM 5.3
Design Arena: data viz	1045	1260	GLM 5.3
Design Arena: 3D	1047	1332	GLM 5.3
Design Arena: all code categories	1072	1304	GLM 5.3
Design Arena: SVG	1052	1294	GLM 5.3
Design Arena: ASCII art	1167	1208	GLM 5.3
LiveBench design	Not measured	77.3%	Only GLM 5.3 measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index018

General benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	Leader
Vals Index	Not measured	59.7%	Only GLM 5.3 measured
LiveBench data analysis	Not measured	70.2%	Only GLM 5.3 measured
Public Benefits Bench (Vals AI)	Not measured	68.5%	Only GLM 5.3 measured
SAGE (Vals AI)	49.5%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
MedScribe (Vals AI)	63.9%	88.8%	GLM 5.3
Vals Multimodal Index	41.4%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Long context reasoning (AA-LCR)	Not measured	79.7%	Only GLM 5.3 measured
DTBench	Not measured	87.7%	Only GLM 5.3 measured
LMCA	Not measured	55.5%	Only GLM 5.3 measured
LMArena Text	1416	1474	GLM 5.3
LMArena Text: instruction following	1377	1479	GLM 5.3
LMArena Text: creative writing	1401	1458	GLM 5.3
LMArena Vision	1240	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: English	1414	1482	GLM 5.3
LMArena Text: non-English	1410	1459	GLM 5.3
LMArena Text: Chinese	1460	1532	GLM 5.3
LMArena Text: German	1430	1488	GLM 5.3
LMArena Text: Japanese	1413	1460	GLM 5.3
LMArena Text: Korean	1392	1460	GLM 5.3
LMArena Text: French	1424	1503	GLM 5.3
LMArena Text: Spanish	1421	1462	GLM 5.3
LMArena Text: Russian	1420	1469	GLM 5.3
LMArena Text: Polish	1443	1466	GLM 5.3
LMArena Text: multi-turn	1417	1472	GLM 5.3
LMArena Text: longer queries	1394	1483	GLM 5.3
LMArena Text: writing and language	1408	1469	GLM 5.3
LMArena Text: entertainment and media	1386	1447	GLM 5.3
LMArena Vision: English	1232	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: Chinese	1278	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: reading text	1246	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: humor	1266	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: captioning	1259	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things	1308	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing	1248	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 12 boards here

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

Image generation benchmarks for Gemini 3.1 Flash Lite Preview and GLM 5.3
Benchmark	Gemini 3.1 Flash Lite Preview	GLM 5.3	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 3.1 Flash Lite Preview$0.0010Fits in one request

GLM 5.3$0.0036Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite Preview$0.017Fits in one request

GLM 5.3$0.083Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite Preview$0.065Fits in one request

GLM 5.3$0.324Fits in one request

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview and GLM 5.3
Specification	Google Gemini 3.1 Flash Lite Preview	Z.ai GLM 5.3
Maker	Google	Z.ai
Weights	No public weights listed	Open weights
Released	March 3, 2026	August 18, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.25	$1.40
Output $/Mtok	$1.50	$4.40
Coding index	22.7	70.6
Independent measurements behind it	3	6
Cost per solved task	$0.18	$0.36
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than GLM 5.3 for coding?

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview for output tokens 2.9x cheaper ($1.50 vs $4.40 per million) and a lower cost per solved task ($0.18 against $0.36).

Which is cheaper, Gemini 3.1 Flash Lite Preview or GLM 5.3?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and GLM 5.3 $0.36.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GLM 5.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GLM 5.3 comparison based on?

59 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Flash Lite Preview's coding index rests on 3 independent benchmarks and GLM 5.3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-1-flash-lite-preview-vs-glm-5-3" title="Gemini 3.1 Flash Lite Preview vs GLM 5.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
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Gemini 3.1 Flash Lite Preview or GLM 5.3: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

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