GLM 5.3 Flash vs Weaver (alpha)

Updated October 21, 2026. 0 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 Weaver (alpha)

GLM 5.3 FlashZ.ai

Coding: 57.7
Overall: 41.8
Output $/M: $0.50

M Weaver (alpha)Mancer

Coding: No data
Overall: No data
Output $/M: $0.75

vs $0.50 vs $0.75 per 1M output tokens. GLM 5.3 Flash is 1.5x cheaper.

Decision reading

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Weaver (alpha) 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 BWeaver (alpha)MancerNot benchmarkedNo coding benchmarkNo cost per solved task

102

Shared results: 0
GLM 5.3 Flash only: 102
Weaver (alpha) only: 0
Like-for-like categories: 0 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, 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
No call
Only GLM 5.3 Flash has a AA Intelligence Index result, 41.8.
Directional only
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
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
GLM 5.3 Flash
GLM 5.3 Flash takes 1.05M tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, Weaver (alpha) $0.0008 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, Weaver (alpha) not benchmarked.
Widest category: No category has a result for both models.
Widest single gap: No benchmark has a result for both models.
Output price: GLM 5.3 Flash $0.50 against Weaver (alpha) $0.75 per million output tokens, 1.5x apart.
Context window: GLM 5.3 Flash takes 1.05M tokens, Weaver (alpha) 8K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index23 boards, none shared

Coding benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	Leader
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	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
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	Not measured	Only GLM 5.3 Flash measured
LMArena Text: software and IT	1500	Not measured	Only GLM 5.3 Flash measured
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 15 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared

Intelligence benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	Leader
AA Intelligence Index	41.8	Not measured	Only GLM 5.3 Flash measured
Epoch Capabilities Index	153.1	Not measured	Only GLM 5.3 Flash measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared

Agentic work benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	Leader
AA Agentic Index	50.9	Not measured	Only GLM 5.3 Flash 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
APEX-Agents	52.8%	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 27 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared

Reasoning benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	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%	Not measured	Only GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)	39.9%	Not measured	Only GLM 5.3 Flash measured
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	Not measured	Only GLM 5.3 Flash measured
LMArena Text: expert	1511	Not measured	Only GLM 5.3 Flash measured
LMArena Text: hard prompts in English	1488	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: diagrams	1317	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: homework	1318	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 6 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Math benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	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	Not measured	Only GLM 5.3 Flash measured
LMArena Text: mathematical work	1497	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Knowledge benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	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	Not measured	Only GLM 5.3 Flash measured
LMArena Text: medicine and healthcare	1475	Not measured	Only GLM 5.3 Flash measured
LMArena Text: legal and government	1473	Not measured	Only GLM 5.3 Flash measured
LMArena Text: business and finance	1460	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 10 boards here

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

Web design benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	Leader
Design Arena: websites	1272	Not measured	Only GLM 5.3 Flash measured
Design Arena: UI components	1316	Not measured	Only GLM 5.3 Flash measured
Design Arena: game dev	1278	Not measured	Only GLM 5.3 Flash measured
Design Arena: data viz	1261	Not measured	Only GLM 5.3 Flash measured
Design Arena: 3D	1316	Not measured	Only GLM 5.3 Flash measured
Design Arena: all code categories	1282	Not measured	Only GLM 5.3 Flash measured
Design Arena: SVG	1284	Not measured	Only GLM 5.3 Flash measured
Design Arena: ASCII art	1268	Not measured	Only GLM 5.3 Flash measured
LiveBench design	77.2%	Not measured	Only GLM 5.3 Flash measured

GeneralDirectional onlyPublic boards, shown as published, kept out of the index28 boards, none shared

General benchmarks for GLM 5.3 Flash and Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	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
Long context reasoning (AA-LCR)	80.0%	Not measured	Only GLM 5.3 Flash measured
Surface Evolver Bench	52.5%	Not measured	Only GLM 5.3 Flash measured
LMArena Text	1471	Not measured	Only GLM 5.3 Flash measured
LMArena Text: instruction following	1478	Not measured	Only GLM 5.3 Flash measured
LMArena Text: creative writing	1441	Not measured	Only GLM 5.3 Flash measured
LMArena Vision	1294	Not measured	Only GLM 5.3 Flash measured
LMArena Text: English	1474	Not measured	Only GLM 5.3 Flash measured
LMArena Text: non-English	1462	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Chinese	1531	Not measured	Only GLM 5.3 Flash measured
LMArena Text: German	1462	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Japanese	1444	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Korean	1436	Not measured	Only GLM 5.3 Flash measured
LMArena Text: French	1491	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Spanish	1475	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Russian	1465	Not measured	Only GLM 5.3 Flash measured
LMArena Text: Polish	1450	Not measured	Only GLM 5.3 Flash measured
LMArena Text: multi-turn	1469	Not measured	Only GLM 5.3 Flash measured
LMArena Text: longer queries	1481	Not measured	Only GLM 5.3 Flash measured
LMArena Text: writing and language	1455	Not measured	Only GLM 5.3 Flash measured
LMArena Text: entertainment and media	1440	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: English	1295	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: Chinese	1363	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: reading text	1299	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: humor	1279	Not measured	Only GLM 5.3 Flash measured
LMArena Vision: creative writing	1270	Not measured	Only GLM 5.3 Flash measured
Neither model has a result on the other 18 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 Weaver (alpha)
Benchmark	GLM 5.3 Flash	Weaver (alpha)	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

Weaver (alpha)$0.0008Fits 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

Weaver (alpha)$0.022Exceeds the context window

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request

Weaver (alpha)$0.087Exceeds 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 Weaver (alpha)
Specification	Z.ai GLM 5.3 Flash	Mancer Weaver (alpha)
Maker	Z.ai	Mancer
Weights	Open weights	No public weights listed
Released	August 26, 2026	August 2, 2023
Context window	1.05M	8K
Input $/Mtok	$0.15	$0.40
Output $/Mtok	$0.50	$0.75
Coding index	57.7	Not benchmarked
Independent measurements behind it	6	0
Cost per solved task	$0.02	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 5.3 Flash better than Weaver (alpha) for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Weaver (alpha) 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 Weaver (alpha)?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Weaver (alpha) costs $0.40 and $0.75. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or Weaver (alpha)?

GLM 5.3 Flash, with 1.05M tokens against 8K.

How many benchmarks is the GLM 5.3 Flash vs Weaver (alpha) comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and Weaver (alpha)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

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