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Claude Sonnet 5.5 vs Qwen3 32B

Claude Sonnet 5.5 leads Qwen3 32B on the Artificial Analysis Intelligence Index, 56.0 to 7.3, and Qwen3 32B costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Claude Sonnet 5.5Anthropic
Coding
87.3
Overall
82.8
Output $/M
$10.00
31
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
0
vs boards won of 31 shared

Claude Sonnet 5.5 or Qwen3 32B: which to pick

Only Claude Sonnet 5.5 has a coding score, 87.3 on the Vibe Coding Index; Qwen3 32B has none, so the two cannot be ranked on coding.

Pick Qwen3 32B for output tokens 25.0x cheaper ($0.40 vs $10.00 per million).

Shared results
31
Claude Sonnet 5.5 only
67
Qwen3 32B only
14
Like-for-like categories
6 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 5.5 87.3 from 5 benchmarks, Qwen3 32B not benchmarked.
Widest category
Intelligence, 41.7 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Claude Sonnet 5.5 82.7% against Qwen3 32B 0.0%, 82.7 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against Qwen3 32B $0.40 per million output tokens, 25.0x apart.
Context window
Claude Sonnet 5.5 takes 1M tokens, Qwen3 32B 131K.

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 5.5BarsQwen3 32BTies
Coding30
Intelligence20
Reasoning50
Math30
Knowledge40
General140
All shared boards310
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev1768Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 4 (Vals AI)64.1%Not measuredOnly Claude Sonnet 5.5 measured
Vibe Code Bench (Vals AI)92.4%Not measuredOnly Claude Sonnet 5.5 measured
Code migration (Vals AI)69.8%Not measuredOnly Claude Sonnet 5.5 measured
ProgramBench (Vals AI)6.5%Not measuredOnly Claude Sonnet 5.5 measured
IOI (Vals AI)83.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 2.1 (Vals AI)83.2%Not measuredOnly Claude Sonnet 5.5 measured
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
CyberBench (Vals AI)59.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured54.6%Only Qwen3 32B measured
SciCode61.0%36.0%Claude Sonnet 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured3.0%Only Qwen3 32B measured
FrontierCode52.1%Not measuredOnly Claude Sonnet 5.5 measured
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
ALE-Bench1819.1Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: coding15131357Claude Sonnet 5.5
LMArena Text: software and IT15041366Claude Sonnet 5.5
LMArena WebDev: React1817Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: HTML1741Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: from an image1737Not measuredOnly Claude Sonnet 5.5 measured
SciCode13.8%Not measuredOnly Claude Sonnet 5.5 measured
SWE-Bench Pro V295.8%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
AA Intelligence Index56.07.3Claude Sonnet 5.5
Epoch Capabilities Index166.2138.4Claude Sonnet 5.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
Design Arena: agents building web apps1305Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building mobile apps1260Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: spreadsheets1271Not measuredOnly Claude Sonnet 5.5 measured
LiveBench research83.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench browser84.0%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench long agentic78.8%Not measuredOnly Claude Sonnet 5.5 measured
SREBench (Vals AI)30.1%Not measuredOnly Claude Sonnet 5.5 measured
Finance Agent (Vals AI)58.1%Not measuredOnly Claude Sonnet 5.5 measured
Tax Agent Bench (Vals AI)42.0%Not measuredOnly Claude Sonnet 5.5 measured
Legal Research Bench (Vals AI)48.1%Not measuredOnly Claude Sonnet 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly Claude Sonnet 5.5 measured
Excel Modeling Benchmark (Vals AI)75.7%Not measuredOnly Claude Sonnet 5.5 measured
BioMysteryBench (Vals AI)81.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Sonnet 5.5 measured
Vals Science Index59.1%Not measuredOnly Claude Sonnet 5.5 measured
τ²-Bench TelecomNot measured29.8%Only Qwen3 32B measured
APEX-Agents75.5%Not measuredOnly Claude Sonnet 5.5 measured
SpireClimb1.3%Not measuredOnly Claude Sonnet 5.5 measured
Vending-Bench 2$11,165Not measuredOnly Claude Sonnet 5.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured48.7%Only Qwen3 32B measured
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
LiveBench reasoning91.6%Not measuredOnly Claude Sonnet 5.5 measured
MysteryMechanism (Vals AI)49.1%Not measuredOnly Claude Sonnet 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured66.8%Only Qwen3 32B measured
Humanity's Last Exam (Artificial Analysis run)55.0%7.4%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%65.7%Claude Sonnet 5.5
Chess puzzles59.0%Not measuredOnly Claude Sonnet 5.5 measured
Mystery game puzzles65.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: hard prompts14941334Claude Sonnet 5.5
LMArena Text: expert15311362Claude Sonnet 5.5
LMArena Text: hard prompts in English15021350Claude Sonnet 5.5
LMArena Vision: diagrams1329Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: homework1331Not measuredOnly Claude Sonnet 5.5 measured
Kagi LLM BenchmarkNot measured48.7%Only Qwen3 32B measured
Humanity's Last Exam (Scale run)37.5%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
AA Math IndexNot measured73.0Only Qwen3 32B measured
AIME 2025 (Artificial Analysis run)Not measured73.0%Only Qwen3 32B measured
OTIS Mock AIME100.0%66.9%Claude Sonnet 5.5
FrontierMath, tiers 1 to 388.8%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tier 480.5%Not measuredOnly Claude Sonnet 5.5 measured
ProofBench100.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: math14971399Claude Sonnet 5.5
LMArena Text: mathematical work15101420Claude Sonnet 5.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
MedCode (Vals AI)52.9%Not measuredOnly Claude Sonnet 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured79.8%Only Qwen3 32B measured
SimpleQA Verified46.5%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: science14831372Claude Sonnet 5.5
LMArena Text: medicine and healthcare14641368Claude Sonnet 5.5
LMArena Text: legal and government14831324Claude Sonnet 5.5
LMArena Text: business and finance14681318Claude Sonnet 5.5
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
Design Arena: websites1327Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: UI components1369Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: game dev1472Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: data viz1382Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: 3D1442Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: all code categories1365Not measuredOnly Claude Sonnet 5.5 measured
LiveBench design85.0%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
Vals Index70.8%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench data analysis59.5%Not measuredOnly Claude Sonnet 5.5 measured
Public Benefits Bench (Vals AI)67.2%Not measuredOnly Claude Sonnet 5.5 measured
SAGE (Vals AI)51.8%Not measuredOnly Claude Sonnet 5.5 measured
MedScribe (Vals AI)91.1%Not measuredOnly Claude Sonnet 5.5 measured
IFBenchNot measured36.3%Only Qwen3 32B measured
Long context reasoning (AA-LCR)82.7%0.0%Claude Sonnet 5.5
DTBench97.3%67.5%Claude Sonnet 5.5
LMCA68.3%17.3%Claude Sonnet 5.5
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
Furniture assembly75.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text14731340Claude Sonnet 5.5
LMArena Text: instruction following14921305Claude Sonnet 5.5
LMArena Text: creative writing14671297Claude Sonnet 5.5
LMArena Vision1287Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: English14841359Claude Sonnet 5.5
LMArena Text: non-English14561317Claude Sonnet 5.5
LMArena Text: Chinese15351357Claude Sonnet 5.5
LMArena Text: GermanNot measured1341Only Qwen3 32B measured
LMArena Text: French1499Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: Spanish1451Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: Russian14541311Claude Sonnet 5.5
LMArena Text: multi-turn14651331Claude Sonnet 5.5
LMArena Text: longer queries14951327Claude Sonnet 5.5
LMArena Text: writing and language14741298Claude Sonnet 5.5
LMArena Text: entertainment and media14611279Claude Sonnet 5.5
LMArena Vision: English1289Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: reading text1297Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: creative writing1242Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5.5 and Qwen3 32B
BenchmarkClaude Sonnet 5.5Qwen3 32BLeader
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 5.5$0.0070Fits in one request
Qwen3 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5.5$0.130Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5.5$0.500Fits in one request
Qwen3 32B$0.032Exceeds the context window

Qwen3 32B 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 5.5 and Qwen3 32B
SpecificationAnthropic Claude Sonnet 5.5Qwen3 32B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026April 28, 2025
Context window1M131K
Input $/Mtok$2.00$0.14
Output $/Mtok$10.00$0.40
Coding index87.3Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than Qwen3 32B for coding?

Only Claude Sonnet 5.5 has a coding score, 87.3 on the Vibe Coding Index; Qwen3 32B has none, so the two cannot be ranked on coding. Pick Qwen3 32B for output tokens 25.0x cheaper ($0.40 vs $10.00 per million).

Which is cheaper, Claude Sonnet 5.5 or Qwen3 32B?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Sonnet 5.5 or Qwen3 32B?

Claude Sonnet 5.5, with 1M tokens against 131K.

How many benchmarks is the Claude Sonnet 5.5 vs Qwen3 32B comparison based on?

31 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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