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Claude Sonnet 4.6 vs Qwen3.5-35B-A3B

Claude Sonnet 4.6 leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 30.1 to 19.3, and Qwen3.5-35B-A3B costs 11.5x less per output token ($1.30 vs $15.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
42
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
2
vs boards won of 44 shared

Claude Sonnet 4.6 or Qwen3.5-35B-A3B: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-35B-A3B for output tokens 11.5x cheaper ($1.30 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Shared results
44
Claude Sonnet 4.6 only
74
Qwen3.5-35B-A3B only
1
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.

At a glance

Coding index
Claude Sonnet 4.6 57.3 from 5 benchmarks, Qwen3.5-35B-A3B not benchmarked.
Widest category
Coding, 29.4 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Sonnet 4.6 1512 against Qwen3.5-35B-A3B 1238, 45.7 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 11.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, Qwen3.5-35B-A3B 262K.

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 4.6BarsQwen3.5-35B-A3BTies
Coding60
Intelligence20
Agentic work11
Reasoning60
Math30
Knowledge40
General201
All shared boards422
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231254Claude Sonnet 4.6
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%26.5%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding15031410Claude Sonnet 4.6
LMArena Text: software and IT14911415Claude Sonnet 4.6
LMArena WebDev: React15121238Claude Sonnet 4.6
LMArena WebDev: HTML15271301Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
AA Intelligence Index30.119.3Claude Sonnet 4.6
Epoch Capabilities Index152.8142.5Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1211Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%89.2%Qwen3.5-35B-A3B
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
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$7,204$463Claude Sonnet 4.6
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%84.5%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%21.0%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%83.5%Claude Sonnet 4.6
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851400Claude Sonnet 4.6
LMArena Text: expert15001408Claude Sonnet 4.6
LMArena Text: hard prompts in English14931411Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%70.0%Claude Sonnet 4.6
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621404Claude Sonnet 4.6
LMArena Text: mathematical work14831410Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741413Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511421Claude Sonnet 4.6
LMArena Text: legal and government14701399Claude Sonnet 4.6
LMArena Text: business and finance14641394Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
Design Arena: websites1284Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: UI components1269Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: game dev1258Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: data viz1278Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: 3D1234Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: all code categories1275Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: SVG1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
General benchmarks for Claude Sonnet 4.6 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)80.0%72.0%Claude Sonnet 4.6
DTBench89.9%80.0%Claude Sonnet 4.6
LMCA46.5%29.5%Claude Sonnet 4.6
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581395Claude Sonnet 4.6
LMArena Text: instruction following14761379Claude Sonnet 4.6
LMArena Text: creative writing14351347Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721407Claude Sonnet 4.6
LMArena Text: non-English14401378Claude Sonnet 4.6
LMArena Text: Chinese14911457Claude Sonnet 4.6
LMArena Text: German14281367Claude Sonnet 4.6
LMArena Text: Japanese14201326Claude Sonnet 4.6
LMArena Text: Korean14101355Claude Sonnet 4.6
LMArena Text: French14651412Claude Sonnet 4.6
LMArena Text: Spanish14641390Claude Sonnet 4.6
LMArena Text: Russian14401376Claude Sonnet 4.6
LMArena Text: Polish14431385Claude Sonnet 4.6
LMArena Text: multi-turn14641390Claude Sonnet 4.6
LMArena Text: longer queries14791389Claude Sonnet 4.6
LMArena Text: writing and language14441365Claude Sonnet 4.6
LMArena Text: entertainment and media14311347Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 12 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 Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 4.6Qwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0008Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Qwen3.5-35B-A3B$0.045Fits in one request

Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
SpecificationAnthropic Claude Sonnet 4.6Qwen3.5-35B-A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026February 25, 2026
Context window1M262K
Input $/Mtok$3.00$0.1625
Output $/Mtok$15.00$1.30
Coding index57.3Not benchmarked
Independent measurements behind it51
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Qwen3.5-35B-A3B for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for output tokens 11.5x cheaper ($1.30 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Sonnet 4.6 or Qwen3.5-35B-A3B?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or Qwen3.5-35B-A3B?

Claude Sonnet 4.6, with 1M tokens against 262K.

How many benchmarks is the Claude Sonnet 4.6 vs Qwen3.5-35B-A3B comparison based on?

44 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 Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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