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Claude Sonnet 4.6 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Claude Sonnet 4.6 on coding, 62.4 to 57.3 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; 97 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
14
Qwen3.8 Max (0902)Qwen
Coding
62.4
Overall
68.9
Output $/M
$6.00
83
vs boards won of 97 shared

Claude Sonnet 4.6 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 57.3 for Claude Sonnet 4.6.

Pick Claude Sonnet 4.6 for work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Shared results
97
Claude Sonnet 4.6 only
21
Qwen3.8 Max (0902) only
16
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.

At a glance

Coding index
Claude Sonnet 4.6 57.3 from 5 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category
Agentic work, 10.7 points apart on average over 14 shared benchmarks.
Widest single gap
LiveBench browser: Claude Sonnet 4.6 68.0% against Qwen3.8 Max (0902) 32.0%, 36.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $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
CategoryClaude Sonnet 4.6BarsQwen3.8 Max (0902)Ties
Coding511
Intelligence02
Agentic work410
Reasoning013
Math04
Knowledge28
Web design26
General129
All shared boards1483
CodingLike-for-likeSix of these boards feed the Vibe Coding Index511
Coding benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
LiveBench coding66.6%60.3%Claude Sonnet 4.6
LMArena WebDev15231674Qwen3.8 Max (0902)
AA Coding Index63.076.2Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)82.1%87.8%Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)77.4%85.6%Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)Not measured34.3%Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)55.8%64.7%Qwen3.8 Max (0902)
Code migration (Vals AI)39.9%24.0%Claude Sonnet 4.6
ProgramBench (Vals AI)0.5%0.0%Claude Sonnet 4.6
IOI (Vals AI)Not measured68.9%Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)57.3%67.4%Qwen3.8 Max (0902)
SWE-bench Multimodal (Vals AI)Not measured42.5%Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)Not measured12.8%Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)49.0%42.0%Claude Sonnet 4.6
CyberBench (Vals AI)Not measured28.6%Only Qwen3.8 Max (0902) measured
SciCode50.1%53.2%Qwen3.8 Max (0902)
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031502Claude Sonnet 4.6
LMArena Text: software and IT14911498Qwen3.8 Max (0902)
LMArena WebDev: React15121692Qwen3.8 Max (0902)
LMArena WebDev: HTML15271649Qwen3.8 Max (0902)
LMArena WebDev: from an image15291637Qwen3.8 Max (0902)
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 Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
AA Intelligence Index30.145.4Qwen3.8 Max (0902)
Epoch Capabilities Index152.8157.4Qwen3.8 Max (0902)
Agentic workLike-for-likePublic boards, shown as published, kept out of the index410
Agentic work benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
AA Agentic Index31.856.0Qwen3.8 Max (0902)
Design Arena: agents building web apps11901300Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps12131305Qwen3.8 Max (0902)
Design Arena: agents building mobile apps12111224Qwen3.8 Max (0902)
Design Arena: agents building Android apps11971193Claude Sonnet 4.6
Design Arena: agents building Godot games12261234Qwen3.8 Max (0902)
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: PowerPoint slidesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheetsNot measured991Only Qwen3.8 Max (0902) measured
LiveBench research63.6%69.9%Qwen3.8 Max (0902)
LiveBench browser68.0%32.0%Claude Sonnet 4.6
LiveBench long agentic23.1%42.3%Qwen3.8 Max (0902)
Finance Agent (Vals AI)51.0%50.6%Claude Sonnet 4.6
Tax Agent Bench (Vals AI)25.8%32.1%Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)38.5%47.6%Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)60.2%60.1%Claude Sonnet 4.6
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
τ²-Bench Telecom79.5%Not measuredOnly Claude Sonnet 4.6 measured
APEX-Agents43.0%63.3%Qwen3.8 Max (0902)
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
LMArena SearchNot measured1261Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index013
Reasoning benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
GPQA Diamond85.6%93.7%Qwen3.8 Max (0902)
LiveBench reasoning86.4%88.2%Qwen3.8 Max (0902)
MysteryMechanism (Vals AI)Not measured23.9%Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)83.6%88.0%Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)87.5%92.8%Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)33.6%43.1%Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)87.4%92.7%Qwen3.8 Max (0902)
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%46.0%Qwen3.8 Max (0902)
Mystery game puzzles16.0%38.0%Qwen3.8 Max (0902)
LMArena Text: hard prompts14851496Qwen3.8 Max (0902)
LMArena Text: expert15001507Qwen3.8 Max (0902)
LMArena Text: hard prompts in English14931503Qwen3.8 Max (0902)
LMArena Vision: diagrams13061323Qwen3.8 Max (0902)
LMArena Vision: homework13111336Qwen3.8 Max (0902)
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%100.0%Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3Not measured74.7%Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4Not measured46.3%Only Qwen3.8 Max (0902) measured
ProofBench45.0%58.0%Qwen3.8 Max (0902)
LMArena Text: math14621501Qwen3.8 Max (0902)
LMArena Text: mathematical work14831491Qwen3.8 Max (0902)
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
Knowledge benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
MMLU Pro87.3%88.6%Qwen3.8 Max (0902)
LegalBench (Vals AI)82.1%83.6%Qwen3.8 Max (0902)
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%65.8%Qwen3.8 Max (0902)
TaxEval (Vals AI)77.1%75.5%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%64.0%Claude Sonnet 4.6
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MedCode (Vals AI)Not measured40.7%Only Qwen3.8 Max (0902) measured
SimpleQA Verified35.5%47.3%Qwen3.8 Max (0902)
LMArena Text: science14741512Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare14511503Qwen3.8 Max (0902)
LMArena Text: legal and government14701492Qwen3.8 Max (0902)
LMArena Text: business and finance14641480Qwen3.8 Max (0902)
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
Design Arena: websites12841275Claude Sonnet 4.6
Design Arena: UI components12691336Qwen3.8 Max (0902)
Design Arena: game dev12581313Qwen3.8 Max (0902)
Design Arena: data viz12781282Qwen3.8 Max (0902)
Design Arena: 3D12341336Qwen3.8 Max (0902)
Design Arena: all code categories12751292Qwen3.8 Max (0902)
Design Arena: SVG1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art12351200Claude Sonnet 4.6
LiveBench design71.8%78.6%Qwen3.8 Max (0902)
GeneralLike-for-likePublic boards, shown as published, kept out of the index129
General benchmarks for Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 Max (0902)Leader
LiveBench data analysis76.1%78.4%Qwen3.8 Max (0902)
Public Benefits Bench (Vals AI)62.5%67.1%Qwen3.8 Max (0902)
SAGE (Vals AI)46.6%51.2%Qwen3.8 Max (0902)
MedScribe (Vals AI)Not measured85.0%Only Qwen3.8 Max (0902) measured
Vals Multimodal Index60.6%65.4%Qwen3.8 Max (0902)
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%80.3%Qwen3.8 Max (0902)
DTBench89.9%92.0%Qwen3.8 Max (0902)
LMCA46.5%46.2%Claude Sonnet 4.6
Furniture assemblyNot measured20.0%Only Qwen3.8 Max (0902) measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581483Qwen3.8 Max (0902)
LMArena Text: instruction following14761481Qwen3.8 Max (0902)
LMArena Text: creative writing14351477Qwen3.8 Max (0902)
LMArena Vision12831313Qwen3.8 Max (0902)
LMArena Text: English14721491Qwen3.8 Max (0902)
LMArena Text: non-English14401473Qwen3.8 Max (0902)
LMArena Text: Chinese14911539Qwen3.8 Max (0902)
LMArena Text: German14281478Qwen3.8 Max (0902)
LMArena Text: Japanese14201473Qwen3.8 Max (0902)
LMArena Text: Korean14101460Qwen3.8 Max (0902)
LMArena Text: French14651498Qwen3.8 Max (0902)
LMArena Text: Spanish14641489Qwen3.8 Max (0902)
LMArena Text: Russian14401482Qwen3.8 Max (0902)
LMArena Text: Polish14431471Qwen3.8 Max (0902)
LMArena Text: multi-turn14641489Qwen3.8 Max (0902)
LMArena Text: longer queries14791488Qwen3.8 Max (0902)
LMArena Text: writing and language14441477Qwen3.8 Max (0902)
LMArena Text: entertainment and media14311464Qwen3.8 Max (0902)
LMArena Vision: English12981311Qwen3.8 Max (0902)
LMArena Vision: Chinese13071358Qwen3.8 Max (0902)
LMArena Vision: reading text12961322Qwen3.8 Max (0902)
LMArena Vision: humor12481304Qwen3.8 Max (0902)
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721312Qwen3.8 Max (0902)
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
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 Claude Sonnet 4.6 and Qwen3.8 Max (0902)
BenchmarkClaude Sonnet 4.6Qwen3.8 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 4.6$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 4.6$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 4.6$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 4.6 and Qwen3.8 Max (0902)
SpecificationAnthropic Claude Sonnet 4.6Qwen3.8 Max (0902)
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026September 3, 2026
Context window1M1M
Input $/Mtok$3.00$2.00
Output $/Mtok$15.00$6.00
Coding index57.362.4
Independent measurements behind it55
Cost per solved task$1.68$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 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 57.3 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 for work measured by LiveBench coding or Code migration (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.6 or Qwen3.8 Max (0902)?

Claude Sonnet 4.6 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 4.6 costs $1.68 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Claude Sonnet 4.6 or Qwen3.8 Max (0902)?

Neither: both take 1M tokens.

How many benchmarks is the Claude Sonnet 4.6 vs Qwen3.8 Max (0902) comparison based on?

97 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-6-vs-qwen3-8-max-0902">LLMBenchmark.ai, Claude Sonnet 4.6 vs Qwen3.8 Max (0902)</a></p>