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Claude Opus 4.1 vs Qwen3 30B A3B Instruct 2507

Claude Opus 4.1 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 22.8 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 250.0x less per output token ($0.30 vs $75.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Qwen3 30B A3B Instruct 2507
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
32
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
1
vs boards won of 33 shared

Claude Opus 4.1 or Qwen3 30B A3B Instruct 2507: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: Chinese, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
Claude Opus 4.1 only
43
Qwen3 30B A3B Instruct 2507 only
12
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 Opus 4.1 not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Intelligence, 15.3 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond (Epoch AI run): Claude Opus 4.1 77.3% against Qwen3 30B A3B Instruct 2507 55.6%, 21.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 250.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Qwen3 30B A3B Instruct 2507 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 Opus 4.1BarsQwen3 30B A3B Instruct 2507Ties
Coding20
Intelligence10
Reasoning40
Math30
Knowledge40
General181
All shared boards321
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.1%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791416Claude Opus 4.1
LMArena Text: software and IT14561417Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
AA Intelligence Index22.87.5Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
τ²-Bench TelecomNot measured28.1%Only Qwen3 30B A3B Instruct 2507 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)Not measured10.3%Only Qwen3 30B A3B Instruct 2507 measured
GPQA Diamond (Epoch AI run)77.3%55.6%Claude Opus 4.1
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421398Claude Opus 4.1
LMArena Text: expert14381397Claude Opus 4.1
LMArena Text: hard prompts in English14511406Claude Opus 4.1
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
AA Math IndexNot measured66.3Only Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured66.3%Only Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIME68.9%62.2%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311394Claude Opus 4.1
LMArena Text: mathematical work14341411Claude Opus 4.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: science14221393Claude Opus 4.1
LMArena Text: medicine and healthcare14161392Claude Opus 4.1
LMArena Text: legal and government14211387Claude Opus 4.1
LMArena Text: business and finance14061389Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
PRBench Finance35.2%Not measuredOnly Claude Opus 4.1 measured
PRBench Legal34.0%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1151Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured50.7%Only Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)Not measured61.3%Only Qwen3 30B A3B Instruct 2507 measured
DTBench80.0%67.2%Claude Opus 4.1
LMCA37.1%22.4%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191384Claude Opus 4.1
LMArena Text: instruction following14351363Claude Opus 4.1
LMArena Text: creative writing14121317Claude Opus 4.1
LMArena Text: English14331391Claude Opus 4.1
LMArena Text: non-English14051372Claude Opus 4.1
LMArena Text: Chinese14271432Qwen3 30B A3B Instruct 2507
LMArena Text: German14131379Claude Opus 4.1
LMArena Text: Japanese13771337Claude Opus 4.1
LMArena Text: Korean13811330Claude Opus 4.1
LMArena Text: French14331419Claude Opus 4.1
LMArena Text: Spanish14481404Claude Opus 4.1
LMArena Text: Russian14221369Claude Opus 4.1
LMArena Text: Polish14131353Claude Opus 4.1
LMArena Text: multi-turn14441378Claude Opus 4.1
LMArena Text: longer queries14551378Claude Opus 4.1
LMArena Text: writing and language14181336Claude Opus 4.1
LMArena Text: entertainment and media13981334Claude Opus 4.1
MultiChallenge57.2%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.1Qwen3 30B A3B Instruct 2507Leader
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 4.1$0.052Fits in one request
Qwen3 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 4.1 and Qwen3 30B A3B Instruct 2507
SpecificationAnthropic Claude Opus 4.1Qwen3 30B A3B Instruct 2507
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025July 29, 2025
Context window200K262K
Input $/Mtok$15.00$0.09
Output $/Mtok$75.00$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Qwen3 30B A3B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: Chinese, where it leads.

Which is cheaper, Claude Opus 4.1 or Qwen3 30B A3B Instruct 2507?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Qwen3 30B A3B Instruct 2507 comparison based on?

33 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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