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Claude Opus 4.5 vs Qwen3 30B A3B

Claude Opus 4.5 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 29.1 to 7.6, and Qwen3 30B A3B costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Qwen3 30B A3B
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
50
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 50 shared

Claude Opus 4.5 or Qwen3 30B A3B: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 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 50.0x cheaper ($0.50 vs $25.00 per million).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
50
Claude Opus 4.5 only
58
Qwen3 30B A3B only
2
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 Opus 4.5 44.0 from 3 benchmarks, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 63.5 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Claude Opus 4.5 77.3% against Qwen3 30B A3B 0.0%, 77.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Qwen3 30B A3B $0.50 per million output tokens, 50.0x apart.
Context window
Claude Opus 4.5 takes 200K 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 4.5BarsQwen3 30B A3BTies
Coding50
Intelligence20
Agentic work10
Reasoning60
Math50
Knowledge50
Web design50
General210
All shared boards500
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%50.6%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%6.8%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%29.8%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031337Claude Opus 4.5
LMArena Text: software and IT14831340Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
AA Intelligence Index29.17.6Claude Opus 4.5
Epoch Capabilities Index150.1137.3Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%26.0%Claude Opus 4.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%61.6%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%6.2%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%61.7%Claude Opus 4.5
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761314Claude Opus 4.5
LMArena Text: expert14871314Claude Opus 4.5
LMArena Text: hard prompts in English14821329Claude Opus 4.5
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.372.3Claude Opus 4.5
AIME 2025 (Artificial Analysis run)91.3%72.3%Claude Opus 4.5
OTIS Mock AIME86.1%62.8%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math14631355Claude Opus 4.5
LMArena Text: mathematical work14681363Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%77.7%Claude Opus 4.5
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541321Claude Opus 4.5
LMArena Text: medicine and healthcare14441318Claude Opus 4.5
LMArena Text: legal and government14591314Claude Opus 4.5
LMArena Text: business and finance14481309Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
Design Arena: websites1247954Claude Opus 4.5
Design Arena: UI components1235943Claude Opus 4.5
Design Arena: game dev1228898Claude Opus 4.5
Design Arena: data viz1243967Claude Opus 4.5
Design Arena: 3D1213Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242941Claude Opus 4.5
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 30B A3BLeader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%41.5%Claude Opus 4.5
Long context reasoning (AA-LCR)77.3%0.0%Claude Opus 4.5
DTBench89.9%60.3%Claude Opus 4.5
LMCA44.5%15.8%Claude Opus 4.5
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511317Claude Opus 4.5
LMArena Text: instruction following14781283Claude Opus 4.5
LMArena Text: creative writing14451271Claude Opus 4.5
LMArena Text: English14611335Claude Opus 4.5
LMArena Text: non-English14381295Claude Opus 4.5
LMArena Text: Chinese14701347Claude Opus 4.5
LMArena Text: German14491307Claude Opus 4.5
LMArena Text: Japanese14171254Claude Opus 4.5
LMArena Text: Korean14241261Claude Opus 4.5
LMArena Text: French14711352Claude Opus 4.5
LMArena Text: Spanish14571317Claude Opus 4.5
LMArena Text: Russian14471291Claude Opus 4.5
LMArena Text: Polish14391299Claude Opus 4.5
LMArena Text: multi-turn14661307Claude Opus 4.5
LMArena Text: longer queries14791312Claude Opus 4.5
LMArena Text: writing and language14521290Claude Opus 4.5
LMArena Text: entertainment and media14341258Claude Opus 4.5
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Qwen3 30B A3B
BenchmarkClaude Opus 4.5Qwen3 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 4.5$0.018Fits 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 4.5$0.325Fits 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 4.5$1.25Exceeds the context window
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 4.5 and Qwen3 30B A3B
SpecificationAnthropic Claude Opus 4.5Qwen3 30B A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025April 28, 2025
Context window200K41K
Input $/Mtok$5.00$0.12
Output $/Mtok$25.00$0.50
Coding index44.0Not benchmarked
Independent measurements behind it30
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Qwen3 30B A3B for coding?

Only Claude Opus 4.5 has a coding score, 44.0 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 50.0x cheaper ($0.50 vs $25.00 per million).

Which is cheaper, Claude Opus 4.5 or Qwen3 30B A3B?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or Qwen3 30B A3B?

Claude Opus 4.5, with 200K tokens against 41K.

How many benchmarks is the Claude Opus 4.5 vs Qwen3 30B A3B comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 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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