GLM 5.3 Flash vs Llama 4 Maverick

Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 Flash Replace Llama 4 Maverick

GLM 5.3 FlashZ.ai

Coding: 71.0
Overall: 41.8
Output $/M: $0.50

Llama 4 MaverickMeta Llama

Coding: 18.1
Overall: 9.3
Output $/M: $0.6525

vs boards won of 60 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 18.1 for Llama 4 Maverick.

Llama 4 Maverick is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved task Model BLlama 4 MaverickMeta Llama18.1/1002 independent benchmarks$1.491 per solved task

604224

Shared results: 60
GLM 5.3 Flash only: 42
Llama 4 Maverick only: 24
Like-for-like categories: 8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
GLM 5.3 Flash
GLM 5.3 Flash scores 71.0 against 18.1.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 41.8 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 50.9 against 0.6.
Same board, both measured
Reasoning
GPQA Diamond
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.4% against 69.4%.
Same board, both measured
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.1% against 79.4%.
Same board, both measured
Web design
Design Arena: websites
GLM 5.3 Flash
GLM 5.3 Flash leads, 1272 against 871.
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 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, Llama 4 Maverick $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.3 Flash
GLM 5.3 Flash $0.02, Llama 4 Maverick $1.491.
Published attempt cost and pass rate

At a glance

Coding index: GLM 5.3 Flash 71.0 from 2 benchmarks, Llama 4 Maverick 18.1 from 2 benchmarks.
Widest category: Web design, 51.2 points apart on average over 6 shared benchmarks.
Widest single gap: ARC-AGI: GLM 5.3 Flash 91.0% against Llama 4 Maverick 4.4%, 86.6 points apart on a 0 to 100 scale.
Output price: GLM 5.3 Flash $0.50 against Llama 4 Maverick $0.6525 per million output tokens, 1.3x apart.
Context window: GLM 5.3 Flash takes 1.05M tokens, Llama 4 Maverick 524K.

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	Llama 4 Maverick	Ties
Coding	6		0
Intelligence	2		0
Agentic work	1		0
Reasoning	11		0
Math	2		0
Knowledge	7		0
Web design	6		0
General	25		0
All shared boards	60		0

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

Coding benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
Aider polyglot	Not measured	15.6%	Only Llama 4 Maverick measured
SWE-bench Verified	Not measured	21.0%	Only Llama 4 Maverick measured
LiveBench coding	80.6%	Not measured	Only GLM 5.3 Flash measured
LMArena WebDev	1607	Not measured	Only GLM 5.3 Flash measured
AA Coding Index	71.5	16.3	GLM 5.3 Flash
LiveCodeBench (Vals AI)	80.5%	47.3%	GLM 5.3 Flash
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
LiveCodeBench (Artificial Analysis run)	Not measured	39.7%	Only Llama 4 Maverick measured
SciCode	51.6%	31.7%	GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	6.8%	Only Llama 4 Maverick measured
FrontierCode	31.8%	Not measured	Only GLM 5.3 Flash measured
FrontierSWE	18.1%	Not measured	Only GLM 5.3 Flash measured
WeirdML	Not measured	24.5%	Only Llama 4 Maverick measured
ALE-Bench	303.6	173.0	GLM 5.3 Flash
LMArena Text: coding	1507	1301	GLM 5.3 Flash
LMArena Text: software and IT	1500	1299	GLM 5.3 Flash
LMArena WebDev: React	1624	Not measured	Only GLM 5.3 Flash measured
LMArena WebDev: HTML	1577	Not measured	Only GLM 5.3 Flash measured
LMArena WebDev: from an image	1578	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 10 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
AA Intelligence Index	41.8	9.3	GLM 5.3 Flash
Epoch Capabilities Index	153.1	132.2	GLM 5.3 Flash

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

Agentic work benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
AA Agentic Index	50.9	0.6	GLM 5.3 Flash
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	17.8%	Only Llama 4 Maverick measured
APEX-Agents	52.8%	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 26 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index110

Reasoning benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
GPQA Diamond	86.4%	69.4%	GLM 5.3 Flash
LiveBench reasoning	77.6%	Not measured	Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)	86.0%	71.7%	GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)	91.2%	67.1%	GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)	39.9%	4.9%	GLM 5.3 Flash
GPQA Diamond (Epoch AI run)	90.2%	Not measured	Only GLM 5.3 Flash measured
ARC-AGI	91.0%	4.4%	GLM 5.3 Flash
ARC-AGI-2	65.8%	0.0%	GLM 5.3 Flash
SimpleBench	Not measured	27.7%	Only Llama 4 Maverick 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	1281	GLM 5.3 Flash
LMArena Text: expert	1511	1259	GLM 5.3 Flash
LMArena Text: hard prompts in English	1488	1295	GLM 5.3 Flash
LMArena Vision: diagrams	1317	1134	GLM 5.3 Flash
LMArena Vision: homework	1318	1164	GLM 5.3 Flash
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index20

Math benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
AIME	Not measured	25.2%	Only Llama 4 Maverick measured
MATH 500 (Vals AI)	Not measured	85.2%	Only Llama 4 Maverick measured
MGSM (Vals AI)	Not measured	92.4%	Only Llama 4 Maverick measured
AA Math Index	Not measured	19.3	Only Llama 4 Maverick measured
AIME 2025 (Artificial Analysis run)	Not measured	19.3%	Only Llama 4 Maverick measured
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	1299	GLM 5.3 Flash
LMArena Text: mathematical work	1497	1295	GLM 5.3 Flash
Neither model has a result on the other 2 boards here

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

Knowledge benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
MMLU Pro	86.1%	79.4%	GLM 5.3 Flash
LegalBench (Vals AI)	83.9%	77.8%	GLM 5.3 Flash
CorpFin (Vals AI)	Not measured	49.7%	Only Llama 4 Maverick measured
TaxEval (Vals AI)	75.6%	66.6%	GLM 5.3 Flash
MortgageTax (Vals AI)	Not measured	58.5%	Only Llama 4 Maverick measured
MedQA (Vals AI)	Not measured	43.3%	Only Llama 4 Maverick measured
MedCode (Vals AI)	Not measured	36.5%	Only Llama 4 Maverick measured
MMLU Pro (Artificial Analysis run)	Not measured	80.9%	Only Llama 4 Maverick measured
GeoBench	Not measured	52.0%	Only Llama 4 Maverick measured
LMArena Text: science	1484	1288	GLM 5.3 Flash
LMArena Text: medicine and healthcare	1475	1275	GLM 5.3 Flash
LMArena Text: legal and government	1473	1286	GLM 5.3 Flash
LMArena Text: business and finance	1460	1260	GLM 5.3 Flash
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index60

Web design benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	Leader
Design Arena: websites	1272	871	GLM 5.3 Flash
Design Arena: UI components	1316	899	GLM 5.3 Flash
Design Arena: game dev	1279	838	GLM 5.3 Flash
Design Arena: data viz	1262	882	GLM 5.3 Flash
Design Arena: 3D	1316	901	GLM 5.3 Flash
Design Arena: all code categories	1282	880	GLM 5.3 Flash
Design Arena: SVG	1284	Not measured	Only GLM 5.3 Flash measured
Design Arena: ASCII art	1269	Not measured	Only GLM 5.3 Flash measured
LiveBench design	77.2%	Not measured	Only GLM 5.3 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index250

General benchmarks for GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	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
SAGE (Vals AI)	Not measured	35.7%	Only Llama 4 Maverick measured
MedScribe (Vals AI)	88.9%	54.2%	GLM 5.3 Flash
IFBench	Not measured	43.0%	Only Llama 4 Maverick measured
Long context reasoning (AA-LCR)	80.0%	50.0%	GLM 5.3 Flash
DTBench	Not measured	61.9%	Only Llama 4 Maverick measured
LMCA	Not measured	15.9%	Only Llama 4 Maverick measured
Fiction.LiveBench	Not measured	46.2%	Only Llama 4 Maverick measured
Creative writing (Lech Mazur)	Not measured	62.0%	Only Llama 4 Maverick measured
Surface Evolver Bench	52.5%	Not measured	Only GLM 5.3 Flash measured
LMArena Text	1471	1287	GLM 5.3 Flash
LMArena Text: instruction following	1478	1267	GLM 5.3 Flash
LMArena Text: creative writing	1441	1266	GLM 5.3 Flash
LMArena Vision	1294	1142	GLM 5.3 Flash
LMArena Text: English	1474	1303	GLM 5.3 Flash
LMArena Text: non-English	1462	1269	GLM 5.3 Flash
LMArena Text: Chinese	1531	1277	GLM 5.3 Flash
LMArena Text: German	1462	1291	GLM 5.3 Flash
LMArena Text: Japanese	1444	1206	GLM 5.3 Flash
LMArena Text: Korean	1436	1203	GLM 5.3 Flash
LMArena Text: French	1491	1259	GLM 5.3 Flash
LMArena Text: Spanish	1475	1293	GLM 5.3 Flash
LMArena Text: Russian	1465	1286	GLM 5.3 Flash
LMArena Text: Polish	1450	1275	GLM 5.3 Flash
LMArena Text: multi-turn	1469	1289	GLM 5.3 Flash
LMArena Text: longer queries	1481	1280	GLM 5.3 Flash
LMArena Text: writing and language	1455	1277	GLM 5.3 Flash
LMArena Text: entertainment and media	1440	1250	GLM 5.3 Flash
LMArena Vision: English	1295	1150	GLM 5.3 Flash
LMArena Vision: Chinese	1363	1141	GLM 5.3 Flash
LMArena Vision: reading text	1299	1143	GLM 5.3 Flash
LMArena Vision: humor	1279	1100	GLM 5.3 Flash
LMArena Vision: creative writing	1270	1099	GLM 5.3 Flash
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 GLM 5.3 Flash and Llama 4 Maverick
Benchmark	GLM 5.3 Flash	Llama 4 Maverick	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

Llama 4 Maverick$0.0005Fits 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

Llama 4 Maverick$0.011Fits 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

Llama 4 Maverick$0.044Fits 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 GLM 5.3 Flash and Llama 4 Maverick
Specification	Z.ai GLM 5.3 Flash	Meta Llama 4 Maverick
Maker	Z.ai	Meta Llama
Weights	Open weights	Open weights
Released	August 26, 2026	April 5, 2025
Context window	1.05M	524K
Input $/Mtok	$0.15	$0.1875
Output $/Mtok	$0.50	$0.6525
Coding index	71.0	18.1
Independent measurements behind it	2	2
Cost per solved task	$0.02	$1.491
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 5.3 Flash better than Llama 4 Maverick for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 18.1 for Llama 4 Maverick. Llama 4 Maverick is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GLM 5.3 Flash or Llama 4 Maverick?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Llama 4 Maverick costs $0.1875 and $0.6525. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Llama 4 Maverick $1.491.

Which has the bigger context window, GLM 5.3 Flash or Llama 4 Maverick?

GLM 5.3 Flash, with 1.05M tokens against 524K.

How many benchmarks is the GLM 5.3 Flash vs Llama 4 Maverick comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks and Llama 4 Maverick's on 2. 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/glm-5-3-flash-vs-llama-4-maverick" title="GLM 5.3 Flash vs Llama 4 Maverick, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
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Decision reading

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