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Claude Opus 5.5 vs Qwen3 30B A3B

Claude Opus 5.5 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 57.6 to 7.6, and Qwen3 30B A3B costs 40.0x less per output token ($0.50 vs $20.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
38
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 38 shared

Claude Opus 5.5 or Qwen3 30B A3B: which to pick

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B for output tokens 40.0x cheaper ($0.50 vs $20.00 per million).

Shared results
38
Claude Opus 5.5 only
71
Qwen3 30B A3B only
14
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 Opus 5.5 88.8 from 5 benchmarks, Qwen3 30B A3B not benchmarked.
Widest category
Web design, 56.6 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Claude Opus 5.5 84.7% against Qwen3 30B A3B 0.0%, 84.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against Qwen3 30B A3B $0.50 per million output tokens, 40.0x apart.
Context window
Claude Opus 5.5 takes 1M tokens, Qwen3 30B A3B 41K.

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 Opus 5.5BarsQwen3 30B A3BTies
Coding20
Intelligence20
Reasoning50
Math30
Knowledge40
Web design50
General170
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Opus 5.5 measured
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured50.6%Only Qwen3 30B A3B measured
SciCode66.9%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.8%Only Qwen3 30B A3B measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4Not measuredOnly Claude Opus 5.5 measured
LMArena Text: coding15451337Claude Opus 5.5
LMArena Text: software and IT15381340Claude Opus 5.5
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
AA Intelligence Index57.67.6Claude Opus 5.5
Epoch Capabilities Index168.8137.3Claude Opus 5.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index24 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
Design Arena: agents building web apps1316Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1308Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1368Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured26.0%Only Qwen3 30B A3B measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured61.6%Only Qwen3 30B A3B measured
Humanity's Last Exam (Artificial Analysis run)61.4%6.2%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%61.7%Claude Opus 5.5
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts15361314Claude Opus 5.5
LMArena Text: expert15491314Claude Opus 5.5
LMArena Text: hard prompts in English15351329Claude Opus 5.5
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 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 Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
AA Math IndexNot measured72.3Only Qwen3 30B A3B measured
AIME 2025 (Artificial Analysis run)Not measured72.3%Only Qwen3 30B A3B measured
OTIS Mock AIME100.0%62.8%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math15181355Claude Opus 5.5
LMArena Text: mathematical work15161363Claude Opus 5.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured77.7%Only Qwen3 30B A3B measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science15241321Claude Opus 5.5
LMArena Text: medicine and healthcare15091318Claude Opus 5.5
LMArena Text: legal and government15181314Claude Opus 5.5
LMArena Text: business and finance14941309Claude Opus 5.5
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
Design Arena: websites1335954Claude Opus 5.5
Design Arena: UI components1385943Claude Opus 5.5
Design Arena: game dev1461898Claude Opus 5.5
Design Arena: data viz1397967Claude Opus 5.5
Design Arena: 3D1476Not measuredOnly Claude Opus 5.5 measured
Design Arena: all code categories1390941Claude Opus 5.5
Design Arena: SVG1329Not measuredOnly Claude Opus 5.5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B A3BLeader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
IFBenchNot measured41.5%Only Qwen3 30B A3B measured
Long context reasoning (AA-LCR)84.7%0.0%Claude Opus 5.5
DTBench98.9%60.3%Claude Opus 5.5
LMCA68.2%15.8%Claude Opus 5.5
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text15161317Claude Opus 5.5
LMArena Text: instruction following15371283Claude Opus 5.5
LMArena Text: creative writing15351271Claude Opus 5.5
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English15191335Claude Opus 5.5
LMArena Text: non-English15071295Claude Opus 5.5
LMArena Text: Chinese15821347Claude Opus 5.5
LMArena Text: GermanNot measured1307Only Qwen3 30B A3B measured
LMArena Text: Japanese15341254Claude Opus 5.5
LMArena Text: KoreanNot measured1261Only Qwen3 30B A3B measured
LMArena Text: French14931352Claude Opus 5.5
LMArena Text: Spanish15081317Claude Opus 5.5
LMArena Text: Russian15171291Claude Opus 5.5
LMArena Text: PolishNot measured1299Only Qwen3 30B A3B measured
LMArena Text: multi-turn15011307Claude Opus 5.5
LMArena Text: longer queries15321312Claude Opus 5.5
LMArena Text: writing and language15321290Claude Opus 5.5
LMArena Text: entertainment and media15151258Claude Opus 5.5
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and Qwen3 30B A3B
BenchmarkClaude Opus 5.5Qwen3 30B 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 Opus 5.5$0.014Fits in one request
Qwen3 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B 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 Opus 5.5 and Qwen3 30B A3B
SpecificationAnthropic Claude Opus 5.5Qwen3 30B A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026April 28, 2025
Context window1M41K
Input $/Mtok$4.00$0.12
Output $/Mtok$20.00$0.50
Coding index88.8Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than Qwen3 30B A3B for coding?

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 40.0x cheaper ($0.50 vs $20.00 per million).

Which is cheaper, Claude Opus 5.5 or Qwen3 30B A3B?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 5.5 or Qwen3 30B A3B?

Claude Opus 5.5, with 1M tokens against 41K.

How many benchmarks is the Claude Opus 5.5 vs Qwen3 30B A3B comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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