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Claude Opus 4.6 vs Qwen3 30B A3B Instruct 2507

Claude Opus 4.6 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 31.9 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 83.3x less per output token ($0.30 vs $25.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
39
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
0
vs boards won of 39 shared

Claude Opus 4.6 or Qwen3 30B A3B Instruct 2507: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B Instruct 2507 for output tokens 83.3x cheaper ($0.30 vs $25.00 per million).

Shared results
39
Claude Opus 4.6 only
80
Qwen3 30B A3B Instruct 2507 only
6
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 4.6 57.2 from 4 benchmarks, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 64.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Opus 4.6 92.1% against Qwen3 30B A3B Instruct 2507 28.1%, 64.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 83.3x apart.
Context window
Claude Opus 4.6 takes 1M 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 4.6BarsQwen3 30B A3B Instruct 2507Ties
Coding30
Intelligence10
Agentic work10
Reasoning60
Math30
Knowledge40
General210
All shared boards390
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 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)48.5%6.1%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341416Claude Opus 4.6
LMArena Text: software and IT15271417Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Codebase QnA33.3%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Refactoring35.6%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Test Writing36.7%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
AA Intelligence Index31.97.5Claude Opus 4.6
Epoch Capabilities Index155.7Not measuredOnly Claude Opus 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%28.1%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
MCP Atlas76.8%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%70.7%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%10.3%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%55.6%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251398Claude Opus 4.6
LMArena Text: expert15441397Claude Opus 4.6
LMArena Text: hard prompts in English15301406Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
AIME95.6%Not measuredOnly Claude Opus 4.6 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 AIME94.4%62.2%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181394Claude Opus 4.6
LMArena Text: mathematical work15251411Claude Opus 4.6
MathArena23.6%Not measuredOnly Claude Opus 4.6 measured
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 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191393Claude Opus 4.6
LMArena Text: medicine and healthcare15041392Claude Opus 4.6
LMArena Text: legal and government15121387Claude Opus 4.6
LMArena Text: business and finance14971389Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
PRBench Finance53.3%Not measuredOnly Claude Opus 4.6 measured
PRBench Legal52.3%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
Design Arena: websites1291Not measuredOnly Claude Opus 4.6 measured
Design Arena: UI components1282Not measuredOnly Claude Opus 4.6 measured
Design Arena: game dev1277Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz1280Not measuredOnly Claude Opus 4.6 measured
Design Arena: 3D1273Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1288Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 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 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 30B A3B Instruct 2507Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%50.7%Claude Opus 4.6
Long context reasoning (AA-LCR)78.0%61.3%Claude Opus 4.6
DTBench91.2%67.2%Claude Opus 4.6
LMCA55.8%22.4%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011384Claude Opus 4.6
LMArena Text: instruction following15211363Claude Opus 4.6
LMArena Text: creative writing15051317Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111391Claude Opus 4.6
LMArena Text: non-English14881372Claude Opus 4.6
LMArena Text: Chinese15511432Claude Opus 4.6
LMArena Text: German15001379Claude Opus 4.6
LMArena Text: Japanese14881337Claude Opus 4.6
LMArena Text: Korean14641330Claude Opus 4.6
LMArena Text: French15121419Claude Opus 4.6
LMArena Text: Spanish15101404Claude Opus 4.6
LMArena Text: Russian14971369Claude Opus 4.6
LMArena Text: Polish14991353Claude Opus 4.6
LMArena Text: multi-turn15111378Claude Opus 4.6
LMArena Text: longer queries15181378Claude Opus 4.6
LMArena Text: writing and language15021336Claude Opus 4.6
LMArena Text: entertainment and media14921334Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
MultiChallenge56.0%Not measuredOnly Claude Opus 4.6 measured
EQ-Bench 41223Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and Qwen3 30B A3B Instruct 2507
BenchmarkClaude Opus 4.6Qwen3 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 4.6$0.018Fits 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 4.6$0.325Fits 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 4.6$1.25Fits in one request
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 4.6 and Qwen3 30B A3B Instruct 2507
SpecificationAnthropic Claude Opus 4.6Qwen3 30B A3B Instruct 2507
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026July 29, 2025
Context window1M262K
Input $/Mtok$5.00$0.09
Output $/Mtok$25.00$0.30
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than Qwen3 30B A3B Instruct 2507 for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B Instruct 2507 for output tokens 83.3x cheaper ($0.30 vs $25.00 per million).

Which is cheaper, Claude Opus 4.6 or Qwen3 30B A3B Instruct 2507?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or Qwen3 30B A3B Instruct 2507?

Claude Opus 4.6, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.6 vs Qwen3 30B A3B Instruct 2507 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks 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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