GLM 5.3 Flash vs GPT-4.1 Mini

Updated October 21, 2026. 61 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 GPT-4.1 Mini

GLM 5.3 FlashZ.ai

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

GPT-4.1 MiniOpenAI

Coding: 28.5
Overall: 10.2
Output $/M: $1.60

vs boards won of 61 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini.

GPT-4.1 Mini 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 BGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved task

614123

Shared results: 61
GLM 5.3 Flash only: 41
GPT-4.1 Mini only: 23
Like-for-like categories: 7 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 28.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GLM 5.3 Flash
GLM 5.3 Flash leads, 41.8 against 10.2.
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
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.4% against 67.9%.
Same board, both measured
Math
AIME
No call
Only GPT-4.1 Mini has a AIME result, 49.4%.
Directional only
Knowledge
MMLU Pro
GLM 5.3 Flash
GLM 5.3 Flash leads, 86.1% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
GLM 5.3 Flash
GLM 5.3 Flash leads, 1272 against 997.
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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
GLM 5.3 Flash $0.0004, GPT-4.1 Mini $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.3 Flash
GLM 5.3 Flash $0.02, GPT-4.1 Mini $1.818.
Published attempt cost and pass rate

At a glance

Coding index: GLM 5.3 Flash 71.0 from 2 benchmarks, GPT-4.1 Mini 28.5 from 2 benchmarks.
Widest category: Web design, 38.2 points apart on average over 6 shared benchmarks.
Widest single gap: ARC-AGI: GLM 5.3 Flash 91.0% against GPT-4.1 Mini 3.5%, 87.5 points apart on a 0 to 100 scale.
Output price: GLM 5.3 Flash $0.50 against GPT-4.1 Mini $1.60 per million output tokens, 3.2x apart.
Context window: GLM 5.3 Flash takes 1.05M tokens, GPT-4.1 Mini 1.05M.

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	GPT-4.1 Mini	Ties
Coding	4		0
Intelligence	2		0
Reasoning	14		0
Math	4		0
Knowledge	7		0
Web design	6		0
General	24		0
All shared boards	61		0

CodingLike-for-likeFour of these boards feed the Vibe Coding Index40

Coding benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
Aider polyglot	Not measured	32.4%	Only GPT-4.1 Mini measured
SWE-bench Verified	Not measured	23.9%	Only GPT-4.1 Mini 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	20.2	GLM 5.3 Flash
LiveCodeBench (Vals AI)	80.5%	58.2%	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	48.3%	Only GPT-4.1 Mini measured
SciCode	51.6%	Not measured	Only GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	7.6%	Only GPT-4.1 Mini 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	37.6%	Only GPT-4.1 Mini measured
ALE-Bench	303.6	Not measured	Only GLM 5.3 Flash measured
LMArena Text: coding	1507	1367	GLM 5.3 Flash
LMArena Text: software and IT	1500	1360	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 GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
AA Intelligence Index	41.8	10.2	GLM 5.3 Flash
Epoch Capabilities Index	153.1	134.9	GLM 5.3 Flash

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared

Agentic work benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	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
τ²-Bench Telecom	Not measured	52.9%	Only GPT-4.1 Mini 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 index140

Reasoning benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
GPQA Diamond	86.4%	67.9%	GLM 5.3 Flash
LiveBench reasoning	77.6%	Not measured	Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)	86.0%	70.5%	GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)	91.2%	66.4%	GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)	39.9%	5.0%	GLM 5.3 Flash
GPQA Diamond (Epoch AI run)	90.2%	65.8%	GLM 5.3 Flash
ARC-AGI	91.0%	3.5%	GLM 5.3 Flash
ARC-AGI-2	65.8%	0.0%	GLM 5.3 Flash
Chess puzzles	21.0%	1.0%	GLM 5.3 Flash
Mystery game puzzles	8.0%	7.0%	GLM 5.3 Flash
LMArena Text: hard prompts	1490	1349	GLM 5.3 Flash
LMArena Text: expert	1511	1338	GLM 5.3 Flash
LMArena Text: hard prompts in English	1488	1362	GLM 5.3 Flash
LMArena Vision: diagrams	1317	1182	GLM 5.3 Flash
LMArena Vision: homework	1318	1214	GLM 5.3 Flash
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index40

Math benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
AIME	Not measured	49.4%	Only GPT-4.1 Mini measured
MATH 500 (Vals AI)	Not measured	88.0%	Only GPT-4.1 Mini measured
MGSM (Vals AI)	Not measured	87.8%	Only GPT-4.1 Mini measured
AA Math Index	Not measured	46.3	Only GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)	Not measured	46.3%	Only GPT-4.1 Mini measured
OTIS Mock AIME	93.9%	44.7%	GLM 5.3 Flash
FrontierMath, tiers 1 to 3	55.8%	6.7%	GLM 5.3 Flash
FrontierMath, tier 4	17.1%	Not measured	Only GLM 5.3 Flash measured
ProofBench	21.0%	Not measured	Only GLM 5.3 Flash measured
MATH level 5	Not measured	87.3%	Only GPT-4.1 Mini measured
LMArena Text: math	1503	1343	GLM 5.3 Flash
LMArena Text: mathematical work	1497	1347	GLM 5.3 Flash
Neither model has a result on the other 1 board here

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

Knowledge benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
MMLU Pro	86.1%	77.2%	GLM 5.3 Flash
LegalBench (Vals AI)	83.9%	78.0%	GLM 5.3 Flash
CorpFin (Vals AI)	Not measured	57.9%	Only GPT-4.1 Mini measured
TaxEval (Vals AI)	75.6%	71.9%	GLM 5.3 Flash
MortgageTax (Vals AI)	Not measured	65.5%	Only GPT-4.1 Mini measured
MedQA (Vals AI)	Not measured	84.6%	Only GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)	Not measured	78.1%	Only GPT-4.1 Mini measured
SimpleQA Verified	Not measured	12.7%	Only GPT-4.1 Mini measured
LMArena Text: science	1484	1328	GLM 5.3 Flash
LMArena Text: medicine and healthcare	1475	1324	GLM 5.3 Flash
LMArena Text: legal and government	1473	1343	GLM 5.3 Flash
LMArena Text: business and finance	1460	1322	GLM 5.3 Flash
Neither model has a result on the other 5 boards here

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

Web design benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	Leader
Design Arena: websites	1272	997	GLM 5.3 Flash
Design Arena: UI components	1316	961	GLM 5.3 Flash
Design Arena: game dev	1279	1071	GLM 5.3 Flash
Design Arena: data viz	1262	1034	GLM 5.3 Flash
Design Arena: 3D	1316	837	GLM 5.3 Flash
Design Arena: all code categories	1282	994	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 index240

General benchmarks for GLM 5.3 Flash and GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	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	38.3%	Only GPT-4.1 Mini measured
Long context reasoning (AA-LCR)	80.0%	44.0%	GLM 5.3 Flash
DTBench	Not measured	68.8%	Only GPT-4.1 Mini measured
LMCA	Not measured	21.1%	Only GPT-4.1 Mini measured
Fiction.LiveBench	Not measured	44.4%	Only GPT-4.1 Mini measured
Surface Evolver Bench	52.5%	Not measured	Only GLM 5.3 Flash measured
LMArena Text	1471	1341	GLM 5.3 Flash
LMArena Text: instruction following	1478	1333	GLM 5.3 Flash
LMArena Text: creative writing	1441	1299	GLM 5.3 Flash
LMArena Vision	1294	1181	GLM 5.3 Flash
LMArena Text: English	1474	1356	GLM 5.3 Flash
LMArena Text: non-English	1462	1318	GLM 5.3 Flash
LMArena Text: Chinese	1531	1329	GLM 5.3 Flash
LMArena Text: German	1462	1350	GLM 5.3 Flash
LMArena Text: Japanese	1444	1290	GLM 5.3 Flash
LMArena Text: Korean	1436	1298	GLM 5.3 Flash
LMArena Text: French	1491	1358	GLM 5.3 Flash
LMArena Text: Spanish	1475	1319	GLM 5.3 Flash
LMArena Text: Russian	1465	1324	GLM 5.3 Flash
LMArena Text: Polish	1450	1326	GLM 5.3 Flash
LMArena Text: multi-turn	1469	1354	GLM 5.3 Flash
LMArena Text: longer queries	1481	1344	GLM 5.3 Flash
LMArena Text: writing and language	1455	1319	GLM 5.3 Flash
LMArena Text: entertainment and media	1440	1300	GLM 5.3 Flash
LMArena Vision: English	1295	1191	GLM 5.3 Flash
LMArena Vision: Chinese	1363	1186	GLM 5.3 Flash
LMArena Vision: reading text	1299	1188	GLM 5.3 Flash
LMArena Vision: humor	1279	1182	GLM 5.3 Flash
LMArena Vision: captioning	Not measured	1174	Only GPT-4.1 Mini measured
LMArena Vision: recognizing things	Not measured	1187	Only GPT-4.1 Mini measured
LMArena Vision: creative writing	1270	1182	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 GPT-4.1 Mini
Benchmark	GLM 5.3 Flash	GPT-4.1 Mini	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

GPT-4.1 Mini$0.0012Fits 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

GPT-4.1 Mini$0.025Fits 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

GPT-4.1 Mini$0.096Fits 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 GPT-4.1 Mini
Specification	Z.ai GLM 5.3 Flash	OpenAI GPT-4.1 Mini
Maker	Z.ai	OpenAI
Weights	Open weights	No public weights listed
Released	August 26, 2026	April 14, 2025
Context window	1.05M	1.05M
Input $/Mtok	$0.15	$0.40
Output $/Mtok	$0.50	$1.60
Coding index	71.0	28.5
Independent measurements behind it	2	2
Cost per solved task	$0.02	$1.818
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 5.3 Flash better than GPT-4.1 Mini for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini. GPT-4.1 Mini is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GLM 5.3 Flash or GPT-4.1 Mini?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and GPT-4.1 Mini $1.818.

Which has the bigger context window, GLM 5.3 Flash or GPT-4.1 Mini?

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

How many benchmarks is the GLM 5.3 Flash vs GPT-4.1 Mini comparison based on?

61 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 GPT-4.1 Mini'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-gpt-4-1-mini" title="GLM 5.3 Flash vs GPT-4.1 Mini, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-flash-vs-gpt-4-1-mini">LLMBenchmark.ai, GLM 5.3 Flash vs GPT-4.1 Mini</a></p>

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