GPT-4.1 Mini vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 45.4 to 10.2, and GPT-4.1 Mini costs 3.8x less per output token ($1.60 vs $6.00 per million). Updated October 22, 2026; 64 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Qwen3.8 Max (0902)

GPT-4.1 MiniOpenAI

Coding: No data
Overall: 31.9
Output $/M: $1.60

Qwen3.8 Max (0902)Qwen

Coding: 62.4
Overall: 68.9
Output $/M: $6.00

vs boards won of 64 shared

GPT-4.1 Mini or Qwen3.8 Max (0902): which to pick

Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for output tokens 3.8x cheaper ($1.60 vs $6.00 per million) and a larger context window (1.05M against 1M tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

642249

Shared results: 64
GPT-4.1 Mini only: 22
Qwen3.8 Max (0902) only: 49
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 Qwen3.8 Max (0902) has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 10.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% 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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 997.
Same board, both measured
Long documents
Listed context window
GPT-4.1 Mini
GPT-4.1 Mini takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Mini
GPT-4.1 Mini $0.0012, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.8 Max (0902)
GPT-4.1 Mini $1.818, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: GPT-4.1 Mini not benchmarked, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Math, 43.5 points apart on average over 4 shared benchmarks.
Widest single gap: FrontierMath, tiers 1 to 3: GPT-4.1 Mini 6.7% against Qwen3.8 Max (0902) 74.7%, 68.1 points apart on a 0 to 100 scale.
Output price: GPT-4.1 Mini $1.60 against Qwen3.8 Max (0902) $6.00 per million output tokens, 3.8x apart.
Context window: GPT-4.1 Mini takes 1.05M tokens, Qwen3.8 Max (0902) 1M.

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	GPT-4.1 Mini	Qwen3.8 Max (0902)
Coding	0	4
Intelligence	0	2
Reasoning	0	12
Math	0	4
Knowledge	1	9
Web design	0	6
General	0	26
All shared boards	1	63

CodingLike-for-likeSix of these boards feed the Vibe Coding Index04

Coding benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
Aider polyglot	32.4%	Not measured	Only GPT-4.1 Mini measured
SWE-bench Verified	23.9%	Not measured	Only GPT-4.1 Mini measured
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	Not measured	1674	Only Qwen3.8 Max (0902) measured
AA Coding Index	20.2	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	58.2%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	Not measured	85.6%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 4 (Vals AI)	Not measured	34.3%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	Not measured	64.7%	Only Qwen3.8 Max (0902) measured
Code migration (Vals AI)	Not measured	24.0%	Only Qwen3.8 Max (0902) measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Qwen3.8 Max (0902) measured
IOI (Vals AI)	Not measured	68.9%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)	Not measured	67.4%	Only Qwen3.8 Max (0902) measured
SWE-bench Multimodal (Vals AI)	Not measured	42.5%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	12.8%	Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)	Not measured	42.0%	Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)	Not measured	28.6%	Only Qwen3.8 Max (0902) measured
LiveCodeBench (Artificial Analysis run)	48.3%	Not measured	Only GPT-4.1 Mini measured
SciCode	Not measured	53.2%	Only Qwen3.8 Max (0902) measured
Terminal-Bench Hard (Artificial Analysis run)	7.6%	Not measured	Only GPT-4.1 Mini measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
WeirdML	37.6%	Not measured	Only GPT-4.1 Mini measured
LMArena Text: coding	1367	1502	Qwen3.8 Max (0902)
LMArena Text: software and IT	1360	1498	Qwen3.8 Max (0902)
LMArena WebDev: React	Not measured	1692	Only Qwen3.8 Max (0902) measured
LMArena WebDev: HTML	Not measured	1649	Only Qwen3.8 Max (0902) measured
LMArena WebDev: from an image	Not measured	1637	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 12 boards here

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

Intelligence benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	10.2	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	134.9	157.4	Qwen3.8 Max (0902)

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared

Agentic work benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
AA Agentic Index	Not measured	56.0	Only Qwen3.8 Max (0902) measured
Design Arena: agents building web apps	Not measured	1300	Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack apps	Not measured	1305	Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile apps	Not measured	1224	Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android apps	Not measured	1193	Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot games	Not measured	1234	Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slides	Not measured	1234	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	991	Only Qwen3.8 Max (0902) measured
LiveBench research	Not measured	69.9%	Only Qwen3.8 Max (0902) measured
LiveBench browser	Not measured	32.0%	Only Qwen3.8 Max (0902) measured
LiveBench long agentic	Not measured	42.3%	Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)	Not measured	50.6%	Only Qwen3.8 Max (0902) measured
Tax Agent Bench (Vals AI)	Not measured	32.1%	Only Qwen3.8 Max (0902) measured
Legal Research Bench (Vals AI)	Not measured	47.6%	Only Qwen3.8 Max (0902) measured
Excel Modeling Benchmark (Vals AI)	Not measured	60.1%	Only Qwen3.8 Max (0902) measured
Terminal-Bench-Science (Vals AI)	Not measured	12.9%	Only Qwen3.8 Max (0902) measured
τ²-Bench Telecom	52.9%	Not measured	Only GPT-4.1 Mini measured
APEX-Agents	Not measured	63.3%	Only Qwen3.8 Max (0902) measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Berkeley Function Calling Leaderboard (BFCL)	50.4%	Not measured	Only GPT-4.1 Mini measured
Neither model has a result on the other 21 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index012

Reasoning benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
GPQA Diamond	67.9%	93.7%	Qwen3.8 Max (0902)
LiveBench reasoning	Not measured	88.2%	Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	70.5%	88.0%	Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)	66.4%	92.8%	Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)	5.0%	43.1%	Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)	65.8%	92.7%	Qwen3.8 Max (0902)
ARC-AGI	3.5%	Not measured	Only GPT-4.1 Mini measured
ARC-AGI-2	0.0%	Not measured	Only GPT-4.1 Mini measured
Chess puzzles	1.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	7.0%	38.0%	Qwen3.8 Max (0902)
LMArena Text: hard prompts	1349	1496	Qwen3.8 Max (0902)
LMArena Text: expert	1338	1507	Qwen3.8 Max (0902)
LMArena Text: hard prompts in English	1362	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	1182	1323	Qwen3.8 Max (0902)
LMArena Vision: homework	1214	1336	Qwen3.8 Max (0902)
Kagi LLM Benchmark	48.6%	Not measured	Only GPT-4.1 Mini measured
Neither model has a result on the other 5 boards here

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

Math benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
AIME	49.4%	Not measured	Only GPT-4.1 Mini measured
MATH 500 (Vals AI)	88.0%	Not measured	Only GPT-4.1 Mini measured
MGSM (Vals AI)	87.8%	Not measured	Only GPT-4.1 Mini measured
AA Math Index	46.3	Not measured	Only GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)	46.3%	Not measured	Only GPT-4.1 Mini measured
OTIS Mock AIME	44.7%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	6.7%	74.7%	Qwen3.8 Max (0902)
FrontierMath, tier 4	Not measured	46.3%	Only Qwen3.8 Max (0902) measured
ProofBench	Not measured	58.0%	Only Qwen3.8 Max (0902) measured
MATH level 5	87.3%	Not measured	Only GPT-4.1 Mini measured
LMArena Text: math	1343	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1347	1491	Qwen3.8 Max (0902)
Neither model has a result on the other 1 board here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19

Knowledge benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
MMLU Pro	77.2%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	78.0%	83.6%	Qwen3.8 Max (0902)
CorpFin (Vals AI)	57.9%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	71.9%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	65.5%	64.0%	GPT-4.1 Mini
MedQA (Vals AI)	84.6%	Not measured	Only GPT-4.1 Mini measured
MedCode (Vals AI)	Not measured	40.7%	Only Qwen3.8 Max (0902) measured
MMLU Pro (Artificial Analysis run)	78.1%	Not measured	Only GPT-4.1 Mini measured
SimpleQA Verified	12.7%	47.3%	Qwen3.8 Max (0902)
LMArena Text: science	1328	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1324	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1343	1492	Qwen3.8 Max (0902)
LMArena Text: business and finance	1322	1480	Qwen3.8 Max (0902)
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index06

Web design benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
Design Arena: websites	997	1275	Qwen3.8 Max (0902)
Design Arena: UI components	958	1336	Qwen3.8 Max (0902)
Design Arena: game dev	1070	1313	Qwen3.8 Max (0902)
Design Arena: data viz	1034	1282	Qwen3.8 Max (0902)
Design Arena: 3D	836	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	993	1292	Qwen3.8 Max (0902)
Design Arena: ASCII art	Not measured	1200	Only Qwen3.8 Max (0902) measured
LiveBench design	Not measured	78.6%	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index026

General benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	Leader
LiveBench data analysis	Not measured	78.4%	Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)	Not measured	67.1%	Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)	Not measured	51.2%	Only Qwen3.8 Max (0902) measured
MedScribe (Vals AI)	Not measured	85.0%	Only Qwen3.8 Max (0902) measured
Vals Multimodal Index	Not measured	65.4%	Only Qwen3.8 Max (0902) measured
IFBench	38.3%	Not measured	Only GPT-4.1 Mini measured
Long context reasoning (AA-LCR)	44.0%	80.3%	Qwen3.8 Max (0902)
DTBench	68.8%	92.0%	Qwen3.8 Max (0902)
LMCA	21.1%	46.2%	Qwen3.8 Max (0902)
Fiction.LiveBench	44.4%	Not measured	Only GPT-4.1 Mini measured
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1341	1483	Qwen3.8 Max (0902)
LMArena Text: instruction following	1333	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1299	1477	Qwen3.8 Max (0902)
LMArena Vision	1181	1313	Qwen3.8 Max (0902)
LMArena Text: English	1356	1491	Qwen3.8 Max (0902)
LMArena Text: non-English	1318	1473	Qwen3.8 Max (0902)
LMArena Text: Chinese	1329	1539	Qwen3.8 Max (0902)
LMArena Text: German	1350	1478	Qwen3.8 Max (0902)
LMArena Text: Japanese	1290	1473	Qwen3.8 Max (0902)
LMArena Text: Korean	1298	1460	Qwen3.8 Max (0902)
LMArena Text: French	1358	1498	Qwen3.8 Max (0902)
LMArena Text: Spanish	1319	1489	Qwen3.8 Max (0902)
LMArena Text: Russian	1324	1482	Qwen3.8 Max (0902)
LMArena Text: Polish	1326	1471	Qwen3.8 Max (0902)
LMArena Text: multi-turn	1354	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1344	1488	Qwen3.8 Max (0902)
LMArena Text: writing and language	1319	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1300	1464	Qwen3.8 Max (0902)
LMArena Vision: English	1191	1311	Qwen3.8 Max (0902)
LMArena Vision: Chinese	1186	1358	Qwen3.8 Max (0902)
LMArena Vision: reading text	1188	1322	Qwen3.8 Max (0902)
LMArena Vision: humor	1182	1304	Qwen3.8 Max (0902)
LMArena Vision: captioning	1174	Not measured	Only GPT-4.1 Mini measured
LMArena Vision: recognizing things	1187	Not measured	Only GPT-4.1 Mini measured
LMArena Vision: creative writing	1182	1312	Qwen3.8 Max (0902)
Neither model has a result on the other 10 boards here

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

Image generation benchmarks for GPT-4.1 Mini and Qwen3.8 Max (0902)
Benchmark	GPT-4.1 Mini	Qwen3.8 Max (0902)	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

GPT-4.1 Mini$0.0012Fits in one request

Qwen3.8 Max (0902)$0.0050Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request

Qwen3.8 Max (0902)$0.118Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request

Qwen3.8 Max (0902)$0.460Fits in one request

GPT-4.1 Mini 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 GPT-4.1 Mini and Qwen3.8 Max (0902)
Specification	OpenAI GPT-4.1 Mini	Qwen3.8 Max (0902)
Maker	OpenAI	Qwen
Weights	No public weights listed	No public weights listed
Released	April 14, 2025	September 3, 2026
Context window	1.05M	1M
Input $/Mtok	$0.40	$2.00
Output $/Mtok	$1.60	$6.00
Coding index	Not benchmarked	62.4
Independent measurements behind it	0	5
Cost per solved task	$1.818	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-4.1 Mini better than Qwen3.8 Max (0902) for coding?

Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 3.8x cheaper ($1.60 vs $6.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, GPT-4.1 Mini or Qwen3.8 Max (0902)?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, GPT-4.1 Mini or Qwen3.8 Max (0902)?

GPT-4.1 Mini, with 1.05M tokens against 1M.

How many benchmarks is the GPT-4.1 Mini vs Qwen3.8 Max (0902) comparison based on?

64 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

GPT-4.1 Mini or Qwen3.8 Max (0902): which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

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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