GLM 5.3 Flash vs GLM 5V Turbo

GLM 5.3 Flash leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 41.8 to 23.5, and GLM 5.3 Flash costs 8.0x less per output token ($0.50 vs $4.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace GLM 5V Turbo

GLM 5.3 FlashZ.ai

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

GLM 5V TurboZ.ai

Coding: No data
Overall: No data
Output $/M: $4.00

vs boards won of 51 shared

GLM 5.3 Flash or GLM 5V Turbo: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task Model BGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved task

515114

Shared results: 51
GLM 5.3 Flash only: 51
GLM 5V Turbo only: 14
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
No call
Only GLM 5.3 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 41.8 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GLM 5.3 Flash has a AA Agentic Index result, 50.9.
Directional only
Reasoning
GPQA Diamond
No call
Only GLM 5.3 Flash has a GPQA Diamond result, 86.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GLM 5.3 Flash has a MMLU Pro result, 86.1%.
Directional only
Web design
Design Arena: websites
GLM 5.3 Flash
GLM 5.3 Flash leads, 1272 against 1230.
Same board, both measured
General
Vals Index
No call
Only GLM 5.3 Flash has a Vals Index result, 50.9%.
Directional only
Long documents
Listed context window
GLM 5.3 Flash
GLM 5.3 Flash takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GLM 5.3 Flash has the number, $0.02.
Directional only

At a glance

Coding index: GLM 5.3 Flash 57.7 from 6 benchmarks, GLM 5V Turbo not benchmarked.
Widest category: Coding, 23.5 points apart on average over 6 shared benchmarks.
Widest single gap: LMArena WebDev: HTML: GLM 5.3 Flash 1577 against GLM 5V Turbo 1356, 36.8 points apart on a 0 to 100 scale.
Output price: GLM 5.3 Flash $0.50 against GLM 5V Turbo $4.00 per million output tokens, 8.0x apart.
Context window: GLM 5.3 Flash takes 1.05M tokens, GLM 5V Turbo 203K.

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	GLM 5.3 Flash	Bars	GLM 5V Turbo	Ties
Coding	6		0
Intelligence	1		0
Reasoning	7		0
Math	2		0
Knowledge	4		0
Web design	8		0
General	23		0
All shared boards	51		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index60

Coding benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
LiveBench coding	80.6%	Not measured	Only GLM 5.3 Flash measured
LMArena WebDev	1607	1402	GLM 5.3 Flash
AA Coding Index	71.5	Not measured	Only GLM 5.3 Flash measured
LiveCodeBench (Vals AI)	80.5%	Not measured	Only GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)	92.0%	Not measured	Only GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)	37.4%	Not measured	Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)	30.8%	Not measured	Only GLM 5.3 Flash measured
Code migration (Vals AI)	20.5%	Not measured	Only GLM 5.3 Flash measured
ProgramBench (Vals AI)	0.0%	Not measured	Only GLM 5.3 Flash measured
IOI (Vals AI)	52.5%	Not measured	Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)	62.9%	Not measured	Only GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)	16.0%	Not measured	Only GLM 5.3 Flash measured
SkillsBench (Vals AI)	40.2%	Not measured	Only GLM 5.3 Flash measured
CyberBench (Vals AI)	67.9%	Not measured	Only GLM 5.3 Flash measured
SciCode	51.6%	Not measured	Only GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	32.6%	Only GLM 5V Turbo measured
FrontierCode	31.8%	Not measured	Only GLM 5.3 Flash measured
FrontierSWE	18.1%	Not measured	Only GLM 5.3 Flash measured
ALE-Bench	303.6	Not measured	Only GLM 5.3 Flash measured
LMArena Text: coding	1507	1466	GLM 5.3 Flash
LMArena Text: software and IT	1500	1460	GLM 5.3 Flash
LMArena WebDev: React	1624	1386	GLM 5.3 Flash
LMArena WebDev: HTML	1577	1356	GLM 5.3 Flash
LMArena WebDev: from an image	1578	1425	GLM 5.3 Flash
Neither model has a result on the other 15 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
AA Intelligence Index	41.8	23.5	GLM 5.3 Flash
Epoch Capabilities Index	153.1	Not measured	Only GLM 5.3 Flash measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared

Agentic work benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
AA Agentic Index	50.9	Not measured	Only GLM 5.3 Flash measured
Design Arena: agents building web apps	Not measured	1124	Only GLM 5V Turbo measured
Design Arena: agents building full-stack apps	Not measured	1149	Only GLM 5V Turbo measured
Design Arena: agents building mobile apps	Not measured	1134	Only GLM 5V Turbo measured
Design Arena: agents building Android apps	Not measured	1267	Only GLM 5V Turbo measured
Design Arena: agents building Godot games	Not measured	957	Only GLM 5V Turbo measured
Design Arena: agents building games	Not measured	1102	Only GLM 5V Turbo measured
Design Arena: HTML slides	Not measured	1070	Only GLM 5V Turbo measured
Design Arena: PowerPoint slides	Not measured	1127	Only GLM 5V Turbo measured
LiveBench research	70.1%	Not measured	Only GLM 5.3 Flash measured
LiveBench browser	84.0%	Not measured	Only GLM 5.3 Flash measured
LiveBench long agentic	28.4%	Not measured	Only GLM 5.3 Flash measured
SREBench (Vals AI)	0.8%	Not measured	Only GLM 5.3 Flash measured
Finance Agent (Vals AI)	57.9%	Not measured	Only GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)	31.6%	Not measured	Only GLM 5.3 Flash measured
Legal Research Bench (Vals AI)	45.2%	Not measured	Only GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)	10.4%	Not measured	Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)	55.9%	Not measured	Only GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)	2.9%	Not measured	Only GLM 5.3 Flash measured
τ²-Bench Telecom	Not measured	98.5%	Only GLM 5V Turbo measured
APEX-Agents	52.8%	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 20 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index70

Reasoning benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
GPQA Diamond	86.4%	Not measured	Only GLM 5.3 Flash measured
LiveBench reasoning	77.6%	Not measured	Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)	86.0%	Not measured	Only GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)	91.2%	80.9%	GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)	39.9%	17.1%	GLM 5.3 Flash
GPQA Diamond (Epoch AI run)	90.2%	Not measured	Only GLM 5.3 Flash measured
ARC-AGI	91.0%	Not measured	Only GLM 5.3 Flash measured
ARC-AGI-2	65.8%	Not measured	Only GLM 5.3 Flash measured
Chess puzzles	21.0%	Not measured	Only GLM 5.3 Flash measured
Mystery game puzzles	8.0%	Not measured	Only GLM 5.3 Flash measured
LMArena Text: hard prompts	1490	1443	GLM 5.3 Flash
LMArena Text: expert	1511	1453	GLM 5.3 Flash
LMArena Text: hard prompts in English	1488	1456	GLM 5.3 Flash
LMArena Vision: diagrams	1317	1286	GLM 5.3 Flash
LMArena Vision: homework	1318	1273	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 index20

Math benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
OTIS Mock AIME	93.9%	Not measured	Only GLM 5.3 Flash measured
FrontierMath, tiers 1 to 3	55.8%	Not measured	Only GLM 5.3 Flash measured
FrontierMath, tier 4	17.1%	Not measured	Only GLM 5.3 Flash measured
ProofBench	21.0%	Not measured	Only GLM 5.3 Flash measured
LMArena Text: math	1503	1442	GLM 5.3 Flash
LMArena Text: mathematical work	1497	1447	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 index40

Knowledge benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
MMLU Pro	86.1%	Not measured	Only GLM 5.3 Flash measured
LegalBench (Vals AI)	83.9%	Not measured	Only GLM 5.3 Flash measured
TaxEval (Vals AI)	75.6%	Not measured	Only GLM 5.3 Flash measured
LMArena Text: science	1484	1448	GLM 5.3 Flash
LMArena Text: medicine and healthcare	1475	1433	GLM 5.3 Flash
LMArena Text: legal and government	1473	1436	GLM 5.3 Flash
LMArena Text: business and finance	1460	1435	GLM 5.3 Flash
Neither model has a result on the other 11 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index80

Web design benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
Design Arena: websites	1272	1230	GLM 5.3 Flash
Design Arena: UI components	1316	1210	GLM 5.3 Flash
Design Arena: game dev	1278	1218	GLM 5.3 Flash
Design Arena: data viz	1262	1202	GLM 5.3 Flash
Design Arena: 3D	1316	1208	GLM 5.3 Flash
Design Arena: all code categories	1282	1228	GLM 5.3 Flash
Design Arena: SVG	1285	1151	GLM 5.3 Flash
Design Arena: ASCII art	1267	1117	GLM 5.3 Flash
LiveBench design	77.2%	Not measured	Only GLM 5.3 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index230

General benchmarks for GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	Leader
Vals Index	50.9%	Not measured	Only GLM 5.3 Flash measured
LiveBench data analysis	76.4%	Not measured	Only GLM 5.3 Flash measured
MedScribe (Vals AI)	88.9%	Not measured	Only GLM 5.3 Flash measured
IFBench	Not measured	61.1%	Only GLM 5V Turbo measured
Long context reasoning (AA-LCR)	80.0%	70.3%	GLM 5.3 Flash
Surface Evolver Bench	52.5%	Not measured	Only GLM 5.3 Flash measured
LMArena Text	1471	1437	GLM 5.3 Flash
LMArena Text: instruction following	1478	1423	GLM 5.3 Flash
LMArena Text: creative writing	1441	1417	GLM 5.3 Flash
LMArena Vision	1294	1264	GLM 5.3 Flash
LMArena Text: English	1474	1454	GLM 5.3 Flash
LMArena Text: non-English	1462	1420	GLM 5.3 Flash
LMArena Text: Chinese	1531	1491	GLM 5.3 Flash
LMArena Text: German	1462	1422	GLM 5.3 Flash
LMArena Text: Japanese	1444	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Korean	1436	1397	GLM 5.3 Flash
LMArena Text: French	1491	1443	GLM 5.3 Flash
LMArena Text: Spanish	1475	1452	GLM 5.3 Flash
LMArena Text: Russian	1465	1432	GLM 5.3 Flash
LMArena Text: Polish	1450	1432	GLM 5.3 Flash
LMArena Text: multi-turn	1469	1431	GLM 5.3 Flash
LMArena Text: longer queries	1481	1438	GLM 5.3 Flash
LMArena Text: writing and language	1455	1420	GLM 5.3 Flash
LMArena Text: entertainment and media	1440	1407	GLM 5.3 Flash
LMArena Vision: English	1295	1274	GLM 5.3 Flash
LMArena Vision: Chinese	1363	1329	GLM 5.3 Flash
LMArena Vision: reading text	1299	1270	GLM 5.3 Flash
LMArena Vision: humor	1279	1268	GLM 5.3 Flash
LMArena Vision: captioning	Not measured	1264	Only GLM 5V Turbo measured
LMArena Vision: recognizing things	Not measured	1241	Only GLM 5V Turbo measured
LMArena Vision: creative writing	1270	1252	GLM 5.3 Flash
LMArena Document	Not measured	1416	Only GLM 5V Turbo measured
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 GLM 5.3 Flash and GLM 5V Turbo
Benchmark	GLM 5.3 Flash	GLM 5V Turbo	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

GLM 5.3 Flash$0.0004Fits in one request

GLM 5V Turbo$0.0032Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request

GLM 5V Turbo$0.072Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request

GLM 5V Turbo$0.280Exceeds the context window

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 GLM 5.3 Flash and GLM 5V Turbo
Specification	Z.ai GLM 5.3 Flash	Z.ai GLM 5V Turbo
Maker	Z.ai	Z.ai
Weights	Open weights	No public weights listed
Released	August 26, 2026	April 1, 2026
Context window	1.05M	203K
Input $/Mtok	$0.15	$1.20
Output $/Mtok	$0.50	$4.00
Coding index	57.7	Not benchmarked
Independent measurements behind it	6	1
Cost per solved task	$0.02	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 5.3 Flash better than GLM 5V Turbo for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5.3 Flash or GLM 5V Turbo?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or GLM 5V Turbo?

GLM 5.3 Flash, with 1.05M tokens against 203K.

How many benchmarks is the GLM 5.3 Flash vs GLM 5V Turbo comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.

GLM 5.3 Flash or GLM 5V Turbo: 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

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