GPT-4.1 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads GPT-4.1 on the Artificial Analysis Intelligence Index, 45.4 to 12.7, and Qwen3.8 Max (0902) costs 1.3x less per output token ($6.00 vs $8.00 per million). Updated October 22, 2026; 62 benchmarks have a result for both.

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

GPT-4.1OpenAI

Coding: No data
Overall: 36.5
Output $/M: $8.00

Qwen3.8 Max (0902)Qwen

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

vs boards won of 62 shared

GPT-4.1 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 has none, so the two cannot be ranked on coding.

Pick GPT-4.1 for a lower cost per solved task ($0.37 against $1.32) and a larger context window (1.05M against 1M tokens).

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

623352

Shared results: 62
GPT-4.1 only: 33
Qwen3.8 Max (0902) only: 52
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 12.7.
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 65.4%.
Same board, both measured
Math
AIME
No call
Only GPT-4.1 has a AIME result, 39.6%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 80.5%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 1038.
Same board, both measured
Long documents
Listed context window
GPT-4.1
GPT-4.1 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
GPT-4.1 $0.0060, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-4.1
GPT-4.1 $0.37, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: GPT-4.1 not benchmarked, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Math, 43.6 points apart on average over 4 shared benchmarks.
Widest single gap: FrontierMath, tiers 1 to 3: GPT-4.1 6.0% against Qwen3.8 Max (0902) 74.7%, 68.8 points apart on a 0 to 100 scale.
Output price: GPT-4.1 $8.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.3x apart.
Context window: GPT-4.1 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	Qwen3.8 Max (0902)
Coding	0	3
Intelligence	0	2
Reasoning	0	11
Math	0	4
Knowledge	1	9
Web design	0	6
General	0	26
All shared boards	1	61

CodingLike-for-likeSix of these boards feed the Vibe Coding Index03

Coding benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
Aider polyglot	52.4%	Not measured	Only GPT-4.1 measured
SWE-bench Verified	39.6%	Not measured	Only GPT-4.1 measured
SWE-bench Multimodal	31.1%	Not measured	Only GPT-4.1 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	Not measured	76.2	Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)	54.7%	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)	45.7%	Not measured	Only GPT-4.1 measured
SciCode	Not measured	53.2%	Only Qwen3.8 Max (0902) measured
Terminal-Bench Hard (Artificial Analysis run)	13.6%	Not measured	Only GPT-4.1 measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
WeirdML	39.0%	Not measured	Only GPT-4.1 measured
ALE-Bench	558.1	Not measured	Only GPT-4.1 measured
LMArena Text: coding	1390	1502	Qwen3.8 Max (0902)
LMArena Text: software and IT	1391	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
SciCode	4.6%	Not measured	Only GPT-4.1 measured
Neither model has a result on the other 13 boards here

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

Intelligence benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	12.7	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	136.7	157.4	Qwen3.8 Max (0902)

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

Agentic work benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	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	1190	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	1232	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	993	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	47.1%	Not measured	Only GPT-4.1 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)	54.0%	Not measured	Only GPT-4.1 measured
BrowseComp-Plus	36.4%	Not measured	Only GPT-4.1 measured
Neither model has a result on the other 21 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index011

Reasoning benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
GPQA Diamond	65.4%	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)	72.4%	88.0%	Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)	66.6%	92.8%	Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)	4.2%	43.1%	Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)	66.9%	92.7%	Qwen3.8 Max (0902)
ARC-AGI	5.5%	Not measured	Only GPT-4.1 measured
ARC-AGI-2	0.4%	Not measured	Only GPT-4.1 measured
SimpleBench	27.0%	Not measured	Only GPT-4.1 measured
Chess puzzles	3.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	Not measured	38.0%	Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts	1384	1496	Qwen3.8 Max (0902)
LMArena Text: expert	1364	1507	Qwen3.8 Max (0902)
LMArena Text: hard prompts in English	1393	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	1215	1323	Qwen3.8 Max (0902)
LMArena Vision: homework	1248	1336	Qwen3.8 Max (0902)
Kagi LLM Benchmark	52.3%	Not measured	Only GPT-4.1 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 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
AIME	39.6%	Not measured	Only GPT-4.1 measured
MATH 500 (Vals AI)	87.2%	Not measured	Only GPT-4.1 measured
MGSM (Vals AI)	87.7%	Not measured	Only GPT-4.1 measured
AA Math Index	34.7	Not measured	Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)	34.7%	Not measured	Only GPT-4.1 measured
OTIS Mock AIME	38.3%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	6.0%	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	83.0%	Not measured	Only GPT-4.1 measured
LMArena Text: math	1369	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1360	1491	Qwen3.8 Max (0902)
MathArena	Not measured	51.6%	Only Qwen3.8 Max (0902) measured
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 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
MMLU Pro	80.5%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	83.1%	83.6%	Qwen3.8 Max (0902)
CaseLaw (Vals AI)	69.9%	Not measured	Only GPT-4.1 measured
CorpFin (Vals AI)	63.0%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	75.1%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	65.9%	64.0%	GPT-4.1
MedQA (Vals AI)	91.2%	Not measured	Only GPT-4.1 measured
MedCode (Vals AI)	Not measured	40.7%	Only Qwen3.8 Max (0902) measured
MMLU Pro (Artificial Analysis run)	80.6%	Not measured	Only GPT-4.1 measured
SimpleQA Verified	31.1%	47.3%	Qwen3.8 Max (0902)
GeoBench	72.0%	Not measured	Only GPT-4.1 measured
LMArena Text: science	1382	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1379	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1399	1492	Qwen3.8 Max (0902)
LMArena Text: business and finance	1369	1480	Qwen3.8 Max (0902)
FACTS Benchmark Suite	45.8%	Not measured	Only GPT-4.1 measured
PRBench Finance	34.3%	Not measured	Only GPT-4.1 measured
PRBench Legal	36.5%	Not measured	Only GPT-4.1 measured
Neither model has a result on the other 2 boards here

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

Web design benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1038	1275	Qwen3.8 Max (0902)
Design Arena: UI components	998	1336	Qwen3.8 Max (0902)
Design Arena: game dev	1079	1312	Qwen3.8 Max (0902)
Design Arena: data viz	1104	1282	Qwen3.8 Max (0902)
Design Arena: 3D	849	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	1025	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 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	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	43.0%	Not measured	Only GPT-4.1 measured
Long context reasoning (AA-LCR)	68.3%	80.3%	Qwen3.8 Max (0902)
DTBench	68.3%	92.0%	Qwen3.8 Max (0902)
LMCA	25.6%	46.2%	Qwen3.8 Max (0902)
Fiction.LiveBench	63.9%	Not measured	Only GPT-4.1 measured
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1383	1483	Qwen3.8 Max (0902)
LMArena Text: instruction following	1367	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1363	1477	Qwen3.8 Max (0902)
LMArena Vision	1210	1313	Qwen3.8 Max (0902)
LMArena Text: English	1392	1491	Qwen3.8 Max (0902)
LMArena Text: non-English	1370	1473	Qwen3.8 Max (0902)
LMArena Text: Chinese	1382	1539	Qwen3.8 Max (0902)
LMArena Text: German	1381	1478	Qwen3.8 Max (0902)
LMArena Text: Japanese	1319	1473	Qwen3.8 Max (0902)
LMArena Text: Korean	1338	1460	Qwen3.8 Max (0902)
LMArena Text: French	1382	1498	Qwen3.8 Max (0902)
LMArena Text: Spanish	1376	1489	Qwen3.8 Max (0902)
LMArena Text: Russian	1377	1482	Qwen3.8 Max (0902)
LMArena Text: Polish	1389	1471	Qwen3.8 Max (0902)
LMArena Text: multi-turn	1397	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1385	1488	Qwen3.8 Max (0902)
LMArena Text: writing and language	1371	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1365	1464	Qwen3.8 Max (0902)
LMArena Vision: English	1209	1311	Qwen3.8 Max (0902)
LMArena Vision: Chinese	1226	1358	Qwen3.8 Max (0902)
LMArena Vision: reading text	1218	1322	Qwen3.8 Max (0902)
LMArena Vision: humor	1196	1304	Qwen3.8 Max (0902)
LMArena Vision: captioning	1207	Not measured	Only GPT-4.1 measured
LMArena Vision: recognizing things	1208	Not measured	Only GPT-4.1 measured
LMArena Vision: creative writing	1210	1312	Qwen3.8 Max (0902)
MultiChallenge	39.4%	Not measured	Only GPT-4.1 measured
Neither model has a result on the other 11 boards here

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

Image generation benchmarks for GPT-4.1 and Qwen3.8 Max (0902)
Benchmark	GPT-4.1	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$0.0060Fits in one request

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

Qwen3.8 Max (0902) costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request

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

Qwen3.8 Max (0902) costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request

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

Qwen3.8 Max (0902) 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 and Qwen3.8 Max (0902)
Specification	OpenAI GPT-4.1	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	$2.00	$2.00
Output $/Mtok	$8.00	$6.00
Coding index	Not benchmarked	62.4
Independent measurements behind it	0	5
Cost per solved task	$0.37	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-4.1 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 has none, so the two cannot be ranked on coding. Pick GPT-4.1 for a lower cost per solved task ($0.37 against $1.32) and a larger context window (1.05M against 1M tokens).

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and Qwen3.8 Max (0902) $1.32.

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

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

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

62 benchmarks have a result for both models as of October 22, 2026. GPT-4.1'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 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

Compare next