Enter opens the highlighted result. Esc closes.

Claude Sonnet 5 vs Qwen3.5 397B A17B

Claude Sonnet 5 leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 38.2 to 21.4, and Qwen3.5 397B A17B costs 4.3x less per output token ($2.34 vs $10.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
52
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
8
vs boards won of 60 shared

Claude Sonnet 5 or Qwen3.5 397B A17B: which to pick

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for output tokens 4.3x cheaper ($2.34 vs $10.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Shared results
60
Claude Sonnet 5 only
61
Qwen3.5 397B A17B only
5
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 5 57.7 from 6 benchmarks, Qwen3.5 397B A17B not benchmarked.
Widest category
Agentic work, 29.6 points apart on average over 1 shared benchmark.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Sonnet 5 65.6% against Qwen3.5 397B A17B 31.2%, 34.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 4.3x apart.
Context window
Claude Sonnet 5 takes 1M tokens, Qwen3.5 397B A17B 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 397B A17BTies
Coding70
Intelligence20
Agentic work10
Reasoning90
Math40
Knowledge31
Web design70
General197
All shared boards528
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
LiveBench coding74.7%Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev15401400Claude 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%44.8%Claude Sonnet 5
Terminal-Bench Hard (Artificial Analysis run)Not measured40.9%Only Qwen3.5 397B A17B 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-Bench1463.1621.9Claude Sonnet 5
LMArena Text: coding14831464Claude Sonnet 5
LMArena Text: software and IT14741463Claude Sonnet 5
LMArena WebDev: React15411388Claude Sonnet 5
LMArena WebDev: HTML15271410Claude 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 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
AA Intelligence Index38.221.4Claude Sonnet 5
Epoch Capabilities Index156.9146.8Claude 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 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
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 measured95.6%Only Qwen3.5 397B A17B measured
APEX-Agents54.5%24.9%Claude Sonnet 5
Vending-Bench 2$6,378Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
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%89.3%Claude Sonnet 5
Humanity's Last Exam (Artificial Analysis run)41.3%29.0%Claude Sonnet 5
GPQA Diamond (Epoch AI run)90.5%86.4%Claude Sonnet 5
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%Not measuredOnly Claude Sonnet 5 measured
Mystery game puzzles35.0%18.0%Claude Sonnet 5
LMArena Text: hard prompts14611448Claude Sonnet 5
LMArena Text: expert14891462Claude Sonnet 5
LMArena Text: hard prompts in English14641450Claude Sonnet 5
LMArena Vision: diagrams12931277Claude Sonnet 5
LMArena Vision: homework13111292Claude Sonnet 5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
OTIS Mock AIME94.7%88.9%Claude Sonnet 5
FrontierMath, tiers 1 to 365.6%31.2%Claude Sonnet 5
FrontierMath, tier 429.3%Not measuredOnly Claude Sonnet 5 measured
ProofBench77.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: math14671453Claude Sonnet 5
LMArena Text: mathematical work14811454Claude Sonnet 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
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: science14601457Claude Sonnet 5
LMArena Text: medicine and healthcare14421455Qwen3.5 397B A17B
LMArena Text: legal and government14541441Claude Sonnet 5
LMArena Text: business and finance14361435Claude Sonnet 5
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
Design Arena: websites12741190Claude Sonnet 5
Design Arena: UI components12771160Claude Sonnet 5
Design Arena: game dev12771140Claude Sonnet 5
Design Arena: data viz12511175Claude Sonnet 5
Design Arena: 3D12611160Claude Sonnet 5
Design Arena: all code categories12751179Claude Sonnet 5
Design Arena: SVG11921139Claude Sonnet 5
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 index197
General benchmarks for Claude Sonnet 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
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 measured78.8%Only Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)82.0%77.3%Claude Sonnet 5
DTBench92.5%87.5%Claude Sonnet 5
LMCA50.0%37.9%Claude Sonnet 5
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text14421437Claude Sonnet 5
LMArena Text: instruction following14521424Claude Sonnet 5
LMArena Text: creative writing14161402Claude Sonnet 5
LMArena Vision12731262Claude Sonnet 5
LMArena Text: English14501443Claude Sonnet 5
LMArena Text: non-English14311430Claude Sonnet 5
LMArena Text: Chinese14781498Qwen3.5 397B A17B
LMArena Text: German14421445Qwen3.5 397B A17B
LMArena Text: Japanese14221429Qwen3.5 397B A17B
LMArena Text: Korean14121384Claude Sonnet 5
LMArena Text: French14631462Claude Sonnet 5
LMArena Text: Spanish14381441Qwen3.5 397B A17B
LMArena Text: Russian14501430Claude Sonnet 5
LMArena Text: Polish14251447Qwen3.5 397B A17B
LMArena Text: multi-turn14531446Claude Sonnet 5
LMArena Text: longer queries14621441Claude Sonnet 5
LMArena Text: writing and language14361415Claude Sonnet 5
LMArena Text: entertainment and media14111399Claude Sonnet 5
LMArena Vision: English12751268Claude Sonnet 5
LMArena Vision: Chinese13311314Claude Sonnet 5
LMArena Vision: reading text12881271Claude Sonnet 5
LMArena Vision: humor12611262Qwen3.5 397B A17B
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writing12461260Qwen3.5 397B A17B
LMArena Document1466Not measuredOnly Claude Sonnet 5 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 5 and Qwen3.5 397B A17B
BenchmarkClaude Sonnet 5Qwen3.5 397B A17BLeader
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 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 397B A17B
SpecificationAnthropic Claude Sonnet 5Qwen3.5 397B A17B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedJune 30, 2026February 16, 2026
Context window1M262K
Input $/Mtok$2.00$0.39
Output $/Mtok$10.00$2.34
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 397B A17B for coding?

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 4.3x cheaper ($2.34 vs $10.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Which is cheaper, Claude Sonnet 5 or Qwen3.5 397B A17B?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or Qwen3.5 397B A17B?

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

How many benchmarks is the Claude Sonnet 5 vs Qwen3.5 397B A17B comparison based on?

60 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 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next