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

Claude Sonnet 5 leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 38.2 to 19.3, and Qwen3.5-35B-A3B costs 7.7x less per output token ($1.30 vs $10.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
42
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
0
vs boards won of 42 shared

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

Only Claude Sonnet 5 has a coding score, 57.7 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 7.7x cheaper ($1.30 vs $10.00 per million).

Shared results
42
Claude Sonnet 5 only
79
Qwen3.5-35B-A3B only
3
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 5 57.7 from 6 benchmarks, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 37.0 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: Claude Sonnet 5 1541 against Qwen3.5-35B-A3B 1238, 50.5 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 7.7x apart.
Context window
Claude Sonnet 5 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 5BarsQwen3.5-35B-A3BTies
Coding60
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge40
General200
All shared boards420
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
LiveBench coding74.7%Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev15401254Claude Sonnet 5
AA Coding Index71.5Not measuredOnly Claude Sonnet 5 measured
LiveCodeBench (Vals AI)82.4%Not measuredOnly Claude Sonnet 5 measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench (Vals AI)81.3%Not measuredOnly Claude Sonnet 5 measured
Code migration (Vals AI)44.4%Not measuredOnly Claude Sonnet 5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Sonnet 5 measured
IOI (Vals AI)45.0%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 2.1 (Vals AI)74.5%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench 1-100 (Vals AI)13.8%Not measuredOnly Claude Sonnet 5 measured
SkillsBench (Vals AI)46.5%Not measuredOnly Claude Sonnet 5 measured
CyberBench (Vals AI)70.3%Not measuredOnly Claude Sonnet 5 measured
SciCode54.3%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B measured
FrontierCode42.7%Not measuredOnly Claude Sonnet 5 measured
GSO-Bench37.3%Not measuredOnly Claude Sonnet 5 measured
WeirdML68.8%Not measuredOnly Claude Sonnet 5 measured
ALE-Bench1463.1221.8Claude Sonnet 5
LMArena Text: coding14831410Claude Sonnet 5
LMArena Text: software and IT14741415Claude Sonnet 5
LMArena WebDev: React15411238Claude Sonnet 5
LMArena WebDev: HTML15271301Claude Sonnet 5
LMArena WebDev: from an image1540Not measuredOnly Claude Sonnet 5 measured
SciCode10.7%Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
AA Intelligence Index38.219.3Claude Sonnet 5
Epoch Capabilities Index156.9142.5Claude Sonnet 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
AA Agentic Index43.6Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building web apps1245Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building mobile apps1215Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Android apps1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building Godot games1225Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building games1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: HTML slides1168Not measuredOnly Claude Sonnet 5 measured
Design Arena: PowerPoint slides1191Not measuredOnly Claude Sonnet 5 measured
Design Arena: spreadsheets1035Not measuredOnly Claude Sonnet 5 measured
LiveBench research82.8%Not measuredOnly Claude Sonnet 5 measured
LiveBench browser72.0%Not measuredOnly Claude Sonnet 5 measured
LiveBench long agentic39.0%Not measuredOnly Claude Sonnet 5 measured
SREBench (Vals AI)0.4%Not measuredOnly Claude Sonnet 5 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Sonnet 5 measured
Tax Agent Bench (Vals AI)29.4%Not measuredOnly Claude Sonnet 5 measured
Legal Research Bench (Vals AI)41.8%Not measuredOnly Claude Sonnet 5 measured
Excel Modeling Benchmark (Vals AI)66.3%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Claude Sonnet 5 measured
τ²-Bench TelecomNot measured89.2%Only Qwen3.5-35B-A3B measured
APEX-Agents54.5%Not measuredOnly Claude Sonnet 5 measured
Vending-Bench 2$6,378$463Claude Sonnet 5
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
GPQA Diamond88.9%Not measuredOnly Claude Sonnet 5 measured
LiveBench reasoning88.7%Not measuredOnly Claude Sonnet 5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)91.1%84.5%Claude Sonnet 5
Humanity's Last Exam (Artificial Analysis run)41.3%21.0%Claude Sonnet 5
GPQA Diamond (Epoch AI run)90.5%83.5%Claude Sonnet 5
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%Not measuredOnly Claude Sonnet 5 measured
Mystery game puzzles35.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: hard prompts14611400Claude Sonnet 5
LMArena Text: expert14891408Claude Sonnet 5
LMArena Text: hard prompts in English14641411Claude Sonnet 5
LMArena Vision: diagrams1293Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
OTIS Mock AIME94.7%70.0%Claude Sonnet 5
FrontierMath, tiers 1 to 365.6%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tier 429.3%Not measuredOnly Claude Sonnet 5 measured
ProofBench77.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: math14671404Claude Sonnet 5
LMArena Text: mathematical work14811410Claude Sonnet 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
MMLU Pro87.5%Not measuredOnly Claude Sonnet 5 measured
LegalBench (Vals AI)83.9%Not measuredOnly Claude Sonnet 5 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Sonnet 5 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Sonnet 5 measured
MortgageTax (Vals AI)70.0%Not measuredOnly Claude Sonnet 5 measured
MedCode (Vals AI)47.5%Not measuredOnly Claude Sonnet 5 measured
SimpleQA Verified33.7%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: science14601413Claude Sonnet 5
LMArena Text: medicine and healthcare14421421Claude Sonnet 5
LMArena Text: legal and government14541399Claude Sonnet 5
LMArena Text: business and finance14361394Claude Sonnet 5
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
Design Arena: websites1274Not measuredOnly Claude Sonnet 5 measured
Design Arena: UI components1277Not measuredOnly Claude Sonnet 5 measured
Design Arena: game dev1277Not measuredOnly Claude Sonnet 5 measured
Design Arena: data viz1251Not measuredOnly Claude Sonnet 5 measured
Design Arena: 3D1261Not measuredOnly Claude Sonnet 5 measured
Design Arena: all code categories1275Not measuredOnly Claude Sonnet 5 measured
Design Arena: SVG1192Not measuredOnly Claude Sonnet 5 measured
Design Arena: ASCII art1207Not measuredOnly Claude Sonnet 5 measured
LiveBench design82.0%Not measuredOnly Claude Sonnet 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for Claude Sonnet 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-A3BLeader
LiveBench data analysis71.7%Not measuredOnly Claude Sonnet 5 measured
Public Benefits Bench (Vals AI)66.0%Not measuredOnly Claude Sonnet 5 measured
SAGE (Vals AI)48.9%Not measuredOnly Claude Sonnet 5 measured
MedScribe (Vals AI)76.0%Not measuredOnly Claude Sonnet 5 measured
Vals Multimodal Index68.8%Not measuredOnly Claude Sonnet 5 measured
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)82.0%72.0%Claude Sonnet 5
DTBench92.5%80.0%Claude Sonnet 5
LMCA50.0%29.5%Claude Sonnet 5
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text14421395Claude Sonnet 5
LMArena Text: instruction following14521379Claude Sonnet 5
LMArena Text: creative writing14161347Claude Sonnet 5
LMArena Vision1273Not measuredOnly Claude Sonnet 5 measured
LMArena Text: English14501407Claude Sonnet 5
LMArena Text: non-English14311378Claude Sonnet 5
LMArena Text: Chinese14781457Claude Sonnet 5
LMArena Text: German14421367Claude Sonnet 5
LMArena Text: Japanese14221326Claude Sonnet 5
LMArena Text: Korean14121355Claude Sonnet 5
LMArena Text: French14631412Claude Sonnet 5
LMArena Text: Spanish14381390Claude Sonnet 5
LMArena Text: Russian14501376Claude Sonnet 5
LMArena Text: Polish14251385Claude Sonnet 5
LMArena Text: multi-turn14531390Claude Sonnet 5
LMArena Text: longer queries14621389Claude Sonnet 5
LMArena Text: writing and language14361365Claude Sonnet 5
LMArena Text: entertainment and media14111347Claude Sonnet 5
LMArena Vision: English1275Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: Chinese1331Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: reading text1288Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: humor1261Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: creative writing1246Not measuredOnly Claude Sonnet 5 measured
LMArena Document1466Not measuredOnly Claude Sonnet 5 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 5 and Qwen3.5-35B-A3B
BenchmarkClaude Sonnet 5Qwen3.5-35B-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 5$0.0070Fits 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 5$0.130Fits 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 5$0.500Fits 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 5 and Qwen3.5-35B-A3B
SpecificationAnthropic Claude Sonnet 5Qwen3.5-35B-A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedJune 30, 2026February 25, 2026
Context window1M262K
Input $/Mtok$2.00$0.1625
Output $/Mtok$10.00$1.30
Coding index57.7Not benchmarked
Independent measurements behind it61
Cost per solved task$1.87Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Sonnet 5 has a coding score, 57.7 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 7.7x cheaper ($1.30 vs $10.00 per million).

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

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for Claude Sonnet 5 only.

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

Claude Sonnet 5, with 1M tokens against 262K.

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

42 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5's coding index rests on 6 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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