Qwen3.5 Plus 2026-04-20 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Qwen3.5 Plus 2026-04-20 on coding, 67.1 to 39.5 on the Vibe Coding Index, and Qwen3.5 Plus 2026-04-20 costs 3.3x less per output token ($1.80 vs $6.00 per million). Updated October 23, 2026; 18 benchmarks have a result for both.

Replace Qwen3.5 Plus 2026-04-20 Replace Qwen3.8 Max (0902)

Qwen3.5 Plus 2026-04-20Qwen

Coding: 39.5
Overall: No data
Output $/M: $1.80

Qwen3.8 Max (0902)Qwen

Coding: 67.1
Overall: 70.1
Output $/M: $6.00

vs boards won of 18 shared

Qwen3.5 Plus 2026-04-20 or Qwen3.8 Max (0902): which to pick

Pick Qwen3.8 Max (0902) for coding: it scores 67.1 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20.

Pick Qwen3.5 Plus 2026-04-20 for output tokens 3.3x cheaper ($1.80 vs $6.00 per million) and work measured by LegalBench (Vals AI), where it leads.

Model AQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task Model BQwen3.8 Max (0902)Qwen67.1/1005 independent benchmarks$1.32 per solved task

18798

Shared results: 18
Qwen3.5 Plus 2026-04-20 only: 7
Qwen3.8 Max (0902) only: 98
Like-for-like categories: 6 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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) scores 67.1 against 39.5.
2 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Qwen3.8 Max (0902) has a AA Intelligence Index result, 45.4.
Directional only
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 87.4%.
Same board, both measured
Math
AIME
No call
Only Qwen3.5 Plus 2026-04-20 has a AIME result, 86.0%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 87.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3.8 Max (0902) has a Design Arena: websites result, 1276.
Directional only
General
Vals Index
No call
Only Qwen3.8 Max (0902) has a Vals Index result, 59.1%.
Directional only
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 $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)
Qwen3.5 Plus 2026-04-20 $1.35, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks, Qwen3.8 Max (0902) 67.1 from 5 benchmarks.
Widest category: Reasoning, 27.7 points apart on average over 5 shared benchmarks.
Widest single gap: MMMU Pro (Vals AI): Qwen3.5 Plus 2026-04-20 22.8% against Qwen3.8 Max (0902) 88.0%, 65.3 points apart on a 0 to 100 scale.
Output price: Qwen3.5 Plus 2026-04-20 $1.80 against Qwen3.8 Max (0902) $6.00 per million output tokens, 3.3x apart.
Context window: Both take 1M tokens.

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	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)
Coding	0	3
Intelligence	0	1
Reasoning	0	5
Math	0	1
Knowledge	1	4
General	0	3
All shared boards	1	17

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

Coding benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	Not measured	1673	Only Qwen3.8 Max (0902) measured
AA Coding Index	Not measured	76.2	Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)	85.3%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	71.2%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	Not measured	38.9%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	15.7%	77.1%	Qwen3.8 Max (0902)
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	24.8%	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
SciCode	Not measured	53.2%	Only Qwen3.8 Max (0902) measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
ALE-Bench	608.9	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding	Not measured	1503	Only Qwen3.8 Max (0902) measured
LMArena Text: software and IT	Not measured	1498	Only Qwen3.8 Max (0902) measured
LMArena WebDev: React	Not measured	1690	Only Qwen3.8 Max (0902) measured
LMArena WebDev: HTML	Not measured	1652	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 20 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	Not measured	45.4	Only Qwen3.8 Max (0902) measured
Epoch Capabilities Index	146.2	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 Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	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	1194	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	1226	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	995	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	57.9%	Only Qwen3.8 Max (0902) measured
Tax Agent Bench (Vals AI)	Not measured	49.7%	Only Qwen3.8 Max (0902) measured
Legal Research Bench (Vals AI)	Not measured	47.6%	Only Qwen3.8 Max (0902) measured
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	15.4%	Only Qwen3.8 Max (0902) measured
Excel Modeling Benchmark (Vals AI)	Not measured	72.0%	Only Qwen3.8 Max (0902) measured
Terminal-Bench-Science (Vals AI)	Not measured	12.9%	Only Qwen3.8 Max (0902) measured
APEX-Agents	Not measured	63.3%	Only Qwen3.8 Max (0902) measured
Vending-Bench 2	$1	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index05

Reasoning benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
GPQA Diamond	87.4%	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)	22.8%	88.0%	Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)	Not measured	92.8%	Only Qwen3.8 Max (0902) measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	43.1%	Only Qwen3.8 Max (0902) measured
GPQA Diamond (Epoch AI run)	84.8%	92.7%	Qwen3.8 Max (0902)
Chess puzzles	8.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	17.0%	38.0%	Qwen3.8 Max (0902)
LMArena Text: hard prompts	Not measured	1497	Only Qwen3.8 Max (0902) measured
LMArena Text: expert	Not measured	1507	Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts in English	Not measured	1504	Only Qwen3.8 Max (0902) measured
LMArena Vision: diagrams	Not measured	1323	Only Qwen3.8 Max (0902) measured
LMArena Vision: homework	Not measured	1336	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 9 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index01

Math benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
AIME	86.0%	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIME	86.7%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	Not measured	74.7%	Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4	Not measured	46.3%	Only Qwen3.8 Max (0902) measured
ProofBench	Not measured	58.0%	Only Qwen3.8 Max (0902) measured
LMArena Text: math	Not measured	1501	Only Qwen3.8 Max (0902) measured
LMArena Text: mathematical work	Not measured	1491	Only Qwen3.8 Max (0902) measured
MathArena	Not measured	51.6%	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14

Knowledge benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
MMLU Pro	87.2%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	85.1%	83.6%	Qwen3.5 Plus 2026-04-20
CaseLaw (Vals AI)	59.7%	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)	65.3%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	Not measured	75.5%	Only Qwen3.8 Max (0902) measured
MortgageTax (Vals AI)	60.8%	64.0%	Qwen3.8 Max (0902)
MedQA (Vals AI)	95.2%	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)	Not measured	40.7%	Only Qwen3.8 Max (0902) measured
SimpleQA Verified	25.4%	47.3%	Qwen3.8 Max (0902)
LMArena Text: science	Not measured	1512	Only Qwen3.8 Max (0902) measured
LMArena Text: medicine and healthcare	Not measured	1503	Only Qwen3.8 Max (0902) measured
LMArena Text: legal and government	Not measured	1494	Only Qwen3.8 Max (0902) measured
LMArena Text: business and finance	Not measured	1481	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 7 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
Design Arena: websites	Not measured	1276	Only Qwen3.8 Max (0902) measured
Design Arena: UI components	Not measured	1336	Only Qwen3.8 Max (0902) measured
Design Arena: game dev	Not measured	1313	Only Qwen3.8 Max (0902) measured
Design Arena: data viz	Not measured	1282	Only Qwen3.8 Max (0902) measured
Design Arena: 3D	Not measured	1338	Only Qwen3.8 Max (0902) measured
Design Arena: all code categories	Not measured	1293	Only Qwen3.8 Max (0902) measured
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 index03

General benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)	Leader
Vals Index	Not measured	59.1%	Only Qwen3.8 Max (0902) measured
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)	30.4%	51.2%	Qwen3.8 Max (0902)
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
Long context reasoning (AA-LCR)	Not measured	80.3%	Only Qwen3.8 Max (0902) measured
DTBench	80.5%	92.0%	Qwen3.8 Max (0902)
LMCA	36.4%	46.2%	Qwen3.8 Max (0902)
CL-bench	19.8%	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
CL-bench Life	12.4%	Not measured	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text	Not measured	1484	Only Qwen3.8 Max (0902) measured
LMArena Text: instruction following	Not measured	1481	Only Qwen3.8 Max (0902) measured
LMArena Text: creative writing	Not measured	1477	Only Qwen3.8 Max (0902) measured
LMArena Vision	Not measured	1313	Only Qwen3.8 Max (0902) measured
LMArena Text: English	Not measured	1492	Only Qwen3.8 Max (0902) measured
LMArena Text: non-English	Not measured	1473	Only Qwen3.8 Max (0902) measured
LMArena Text: Chinese	Not measured	1539	Only Qwen3.8 Max (0902) measured
LMArena Text: German	Not measured	1476	Only Qwen3.8 Max (0902) measured
LMArena Text: Japanese	Not measured	1473	Only Qwen3.8 Max (0902) measured
LMArena Text: Korean	Not measured	1462	Only Qwen3.8 Max (0902) measured
LMArena Text: French	Not measured	1502	Only Qwen3.8 Max (0902) measured
LMArena Text: Spanish	Not measured	1487	Only Qwen3.8 Max (0902) measured
LMArena Text: Russian	Not measured	1482	Only Qwen3.8 Max (0902) measured
LMArena Text: Polish	Not measured	1471	Only Qwen3.8 Max (0902) measured
LMArena Text: multi-turn	Not measured	1490	Only Qwen3.8 Max (0902) measured
LMArena Text: longer queries	Not measured	1489	Only Qwen3.8 Max (0902) measured
LMArena Text: writing and language	Not measured	1477	Only Qwen3.8 Max (0902) measured
LMArena Text: entertainment and media	Not measured	1464	Only Qwen3.8 Max (0902) measured
LMArena Vision: English	Not measured	1311	Only Qwen3.8 Max (0902) measured
LMArena Vision: Chinese	Not measured	1358	Only Qwen3.8 Max (0902) measured
LMArena Vision: reading text	Not measured	1322	Only Qwen3.8 Max (0902) measured
LMArena Vision: humor	Not measured	1304	Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writing	Not measured	1312	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 13 boards here

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

Image generation benchmarks for Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Benchmark	Qwen3.5 Plus 2026-04-20	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

Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

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

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

Qwen3.5 Plus 2026-04-20$0.020Fits in one request

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

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Qwen3.5 Plus 2026-04-20$0.078Fits in one request

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

Qwen3.5 Plus 2026-04-20 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 Qwen3.5 Plus 2026-04-20 and Qwen3.8 Max (0902)
Specification	Qwen3.5 Plus 2026-04-20	Qwen3.8 Max (0902)
Maker	Qwen	Qwen
Weights	No public weights listed	No public weights listed
Released	April 27, 2026	September 3, 2026
Context window	1M	1M
Input $/Mtok	$0.30	$2.00
Output $/Mtok	$1.80	$6.00
Coding index	39.5	67.1
Independent measurements behind it	2	5
Cost per solved task	$1.35	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Qwen3.5 Plus 2026-04-20 better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 67.1 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20. Pick Qwen3.5 Plus 2026-04-20 for output tokens 3.3x cheaper ($1.80 vs $6.00 per million) and work measured by LegalBench (Vals AI), where it leads.

Which is cheaper, Qwen3.5 Plus 2026-04-20 or Qwen3.8 Max (0902)?

Qwen3.5 Plus 2026-04-20 costs $0.30 per million input tokens and $1.80 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Qwen3.5 Plus 2026-04-20 costs $1.35 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Qwen3.5 Plus 2026-04-20 or Qwen3.8 Max (0902)?

Neither: both take 1M tokens.

How many benchmarks is the Qwen3.5 Plus 2026-04-20 vs Qwen3.8 Max (0902) comparison based on?

18 benchmarks have a result for both models as of October 23, 2026. Qwen3.5 Plus 2026-04-20's coding index rests on 2 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.

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Qwen3.5 Plus 2026-04-20 or Qwen3.8 Max (0902): which to pick

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