Claude Sonnet 4.5 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Claude Sonnet 4.5 on coding, 62.4 to 39.5 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 2.5x less per output token ($6.00 vs $15.00 per million). Updated October 22, 2026; 68 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace Qwen3.8 Max (0902)

Claude Sonnet 4.5Anthropic

Coding: 39.5
Overall: 49.5
Output $/M: $15.00

Qwen3.8 Max (0902)Qwen

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

vs boards won of 68 shared, 1 tied

Claude Sonnet 4.5 or Qwen3.8 Max (0902): which to pick

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5.

Pick Claude Sonnet 4.5 for a lower cost per solved task ($1.16 against $1.32) and work measured by LegalBench (Vals AI) or MedCode (Vals AI), where it leads.

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

682745

Shared results: 68
Claude Sonnet 4.5 only: 27
Qwen3.8 Max (0902) only: 45
Like-for-like categories: 8 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 62.4 against 39.5.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% against 81.6%.
Same board, both measured
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 87.4%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 1189.
Same board, both measured
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Claude Sonnet 4.5 $0.011, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Sonnet 4.5
Claude Sonnet 4.5 $1.16, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Claude Sonnet 4.5 39.5 from 3 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Math, 28.3 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tiers 1 to 3: Claude Sonnet 4.5 23.9% against Qwen3.8 Max (0902) 74.7%, 50.9 points apart on a 0 to 100 scale.
Output price: Claude Sonnet 4.5 $15.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 2.5x 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	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Ties
Coding	0	9
Intelligence	0	2
Agentic work	0	4
Reasoning	0	8
Math	0	6
Knowledge	2	8	1 tie
Web design	1	6
General	0	21
All shared boards	3	64	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index09

Coding benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
SWE-bench Verified	74.8%	Not measured	Only Claude Sonnet 4.5 measured
SWE-bench Multilingual	67.0%	Not measured	Only Claude Sonnet 4.5 measured
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	1394	1674	Qwen3.8 Max (0902)
AA Coding Index	52.1	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	73.0%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	70.0%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	Not measured	34.3%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	22.6%	64.7%	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	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
SciCode	Not measured	53.2%	Only Qwen3.8 Max (0902) measured
Terminal-Bench	46.5%	Not measured	Only Claude Sonnet 4.5 measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
GSO-Bench	14.7%	Not measured	Only Claude Sonnet 4.5 measured
WeirdML	47.7%	Not measured	Only Claude Sonnet 4.5 measured
Cybench	60.0%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: coding	1488	1502	Qwen3.8 Max (0902)
LMArena Text: software and IT	1473	1498	Qwen3.8 Max (0902)
LMArena WebDev: React	1386	1692	Qwen3.8 Max (0902)
LMArena WebDev: HTML	1399	1649	Qwen3.8 Max (0902)
LMArena WebDev: from an image	Not measured	1637	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 11 boards here

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

Intelligence benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	20.7	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	146.7	157.4	Qwen3.8 Max (0902)

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

Agentic work benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
AA Agentic Index	15.8	56.0	Qwen3.8 Max (0902)
Design Arena: agents building web apps	1060	1300	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1050	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1137	1224	Qwen3.8 Max (0902)
Design Arena: agents building Android apps	Not measured	1196	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	1233	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	967	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
APEX-Agents	Not measured	63.3%	Only Qwen3.8 Max (0902) measured
METR time horizons	67.4%	Not measured	Only Claude Sonnet 4.5 measured
Remote Labor Index	2.1%	Not measured	Only Claude Sonnet 4.5 measured
GDPval	42.5%	Not measured	Only Claude Sonnet 4.5 measured
DeepResearch Bench	52.6%	Not measured	Only Claude Sonnet 4.5 measured
OSWorld	62.9%	Not measured	Only Claude Sonnet 4.5 measured
Vending-Bench 2	$3,839	Not measured	Only Claude Sonnet 4.5 measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Berkeley Function Calling Leaderboard (BFCL)	73.2%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 16 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index08

Reasoning benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
GPQA Diamond	81.6%	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)	79.3%	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)	82.3%	92.7%	Qwen3.8 Max (0902)
ARC-AGI	63.7%	Not measured	Only Claude Sonnet 4.5 measured
ARC-AGI-2	13.6%	Not measured	Only Claude Sonnet 4.5 measured
SimpleBench	54.3%	Not measured	Only Claude Sonnet 4.5 measured
Chess puzzles	10.0%	46.0%	Qwen3.8 Max (0902)
Mystery game puzzles	17.0%	38.0%	Qwen3.8 Max (0902)
EBR-bench	2.4%	Not measured	Only Claude Sonnet 4.5 measured
VPCT	39.8%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: hard prompts	1462	1496	Qwen3.8 Max (0902)
LMArena Text: expert	1483	1507	Qwen3.8 Max (0902)
LMArena Text: hard prompts in English	1471	1503	Qwen3.8 Max (0902)
LMArena Vision: diagrams	Not measured	1323	Only Qwen3.8 Max (0902) measured
LMArena Vision: homework	Not measured	1336	Only Qwen3.8 Max (0902) measured
Kagi LLM Benchmark	57.9%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 2 boards here

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

Math benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
AIME	88.2%	Not measured	Only Claude Sonnet 4.5 measured
MGSM (Vals AI)	94.3%	Not measured	Only Claude Sonnet 4.5 measured
OTIS Mock AIME	77.8%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	23.9%	74.7%	Qwen3.8 Max (0902)
FrontierMath, tier 4	2.4%	46.3%	Qwen3.8 Max (0902)
ProofBench	19.0%	58.0%	Qwen3.8 Max (0902)
MATH level 5	97.7%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: math	1449	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1462	1491	Qwen3.8 Max (0902)
Neither model has a result on the other 4 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28

Knowledge benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
MMLU Pro	87.4%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	84.1%	83.6%	Claude Sonnet 4.5
CaseLaw (Vals AI)	62.2%	Not measured	Only Claude Sonnet 4.5 measured
CorpFin (Vals AI)	62.0%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	73.3%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	64.0%	64.0%	Tie
MedQA (Vals AI)	94.7%	Not measured	Only Claude Sonnet 4.5 measured
MedCode (Vals AI)	44.1%	40.7%	Claude Sonnet 4.5
SimpleQA Verified	30.7%	47.3%	Qwen3.8 Max (0902)
LMArena Text: science	1448	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1444	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1451	1492	Qwen3.8 Max (0902)
LMArena Text: business and finance	1440	1480	Qwen3.8 Max (0902)
FACTS Benchmark Suite	40.6%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index16

Web design benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1189	1275	Qwen3.8 Max (0902)
Design Arena: UI components	1170	1338	Qwen3.8 Max (0902)
Design Arena: game dev	1166	1312	Qwen3.8 Max (0902)
Design Arena: data viz	1167	1281	Qwen3.8 Max (0902)
Design Arena: 3D	1157	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	1182	1293	Qwen3.8 Max (0902)
Design Arena: SVG	1115	Not measured	Only Claude Sonnet 4.5 measured
Design Arena: ASCII art	1205	1200	Claude Sonnet 4.5
LiveBench design	Not measured	78.6%	Only Qwen3.8 Max (0902) measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index021

General benchmarks for Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	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)	36.1%	51.2%	Qwen3.8 Max (0902)
MedScribe (Vals AI)	84.5%	85.0%	Qwen3.8 Max (0902)
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	83.2%	92.0%	Qwen3.8 Max (0902)
LMCA	38.8%	46.2%	Qwen3.8 Max (0902)
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1438	1483	Qwen3.8 Max (0902)
LMArena Text: instruction following	1459	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1442	1477	Qwen3.8 Max (0902)
LMArena Vision	Not measured	1313	Only Qwen3.8 Max (0902) measured
LMArena Text: English	1450	1491	Qwen3.8 Max (0902)
LMArena Text: non-English	1425	1473	Qwen3.8 Max (0902)
LMArena Text: Chinese	1460	1539	Qwen3.8 Max (0902)
LMArena Text: German	1427	1478	Qwen3.8 Max (0902)
LMArena Text: Japanese	1390	1473	Qwen3.8 Max (0902)
LMArena Text: Korean	1402	1460	Qwen3.8 Max (0902)
LMArena Text: French	1459	1498	Qwen3.8 Max (0902)
LMArena Text: Spanish	1458	1489	Qwen3.8 Max (0902)
LMArena Text: Russian	1437	1482	Qwen3.8 Max (0902)
LMArena Text: Polish	1423	1471	Qwen3.8 Max (0902)
LMArena Text: multi-turn	1465	1489	Qwen3.8 Max (0902)
LMArena Text: longer queries	1475	1488	Qwen3.8 Max (0902)
LMArena Text: writing and language	1442	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1428	1464	Qwen3.8 Max (0902)
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
LMArena Document	1450	Not measured	Only Claude Sonnet 4.5 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 Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Benchmark	Claude Sonnet 4.5	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

Claude Sonnet 4.5$0.011Fits 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

Claude Sonnet 4.5$0.195Fits 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

Claude Sonnet 4.5$0.750Fits 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 Claude Sonnet 4.5 and Qwen3.8 Max (0902)
Specification	Anthropic Claude Sonnet 4.5	Qwen3.8 Max (0902)
Maker	Anthropic	Qwen
Weights	No public weights listed	No public weights listed
Released	September 29, 2025	September 3, 2026
Context window	1M	1M
Input $/Mtok	$3.00	$2.00
Output $/Mtok	$15.00	$6.00
Coding index	39.5	62.4
Independent measurements behind it	3	5
Cost per solved task	$1.16	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 for a lower cost per solved task ($1.16 against $1.32) and work measured by LegalBench (Vals AI) or MedCode (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.5 or Qwen3.8 Max (0902)?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Claude Sonnet 4.5 or Qwen3.8 Max (0902)?

Neither: both take 1M tokens.

How many benchmarks is the Claude Sonnet 4.5 vs Qwen3.8 Max (0902) comparison based on?

68 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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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Claude Sonnet 4.5 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