Enter opens the highlighted result. Esc closes.

Claude Opus 4.6 vs Qwen3 Coder 30B A3B Instruct

Updated October 21, 2026. 11 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.6Anthropic
Coding
66.9
Overall
31.9
Output $/M
$25.00
11
Qwen3 Coder 30B A3B InstructQwen
Coding
60.4
Overall
9.6
Output $/M
$0.28
0
vs boards won of 11 shared

Decision reading

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 60.4 for Qwen3 Coder 30B A3B Instruct.

Pick Qwen3 Coder 30B A3B Instruct when output tokens cost 89.3x less.

Shared results
11
Claude Opus 4.6 only
97
Qwen3 Coder 30B A3B Instruct only
5
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 66.9 from 2 benchmarks, Qwen3 Coder 30B A3B Instruct 60.4 from 1 benchmark.
Widest category
Agentic work, 57.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Opus 4.6 92.1% against Qwen3 Coder 30B A3B Instruct 34.5%, 57.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Qwen3 Coder 30B A3B Instruct $0.28 per million output tokens, 89.3x apart.
Context window
Claude Opus 4.6 takes 1M tokens, Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B InstructTies
Coding20
Intelligence10
Agentic work10
Reasoning20
Web design30
General20
All shared boards110
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
SWE-bench Verified75.6%60.4%Claude Opus 4.6
SWE-bench LiteNot measured49.7%Only Qwen3 Coder 30B A3B Instruct 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 measured40.3%Only Qwen3 Coder 30B A3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)48.5%15.2%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: coding1534Not measuredOnly Claude Opus 4.6 measured
LMArena Text: software and IT1527Not measuredOnly Claude Opus 4.6 measured
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
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
AA Intelligence Index31.99.6Claude 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 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
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 apps1204Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1214Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%34.5%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
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
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%51.6%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%3.8%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Opus 4.6 measured
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 prompts1525Not measuredOnly Claude Opus 4.6 measured
LMArena Text: expert1544Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts in English1530Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
AA Math IndexNot measured29.0Only Qwen3 Coder 30B A3B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured29.0%Only Qwen3 Coder 30B A3B Instruct measured
OTIS Mock AIME94.4%Not measuredOnly Claude Opus 4.6 measured
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: math1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: mathematical work1525Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Knowledge benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
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 measured70.6%Only Qwen3 Coder 30B A3B Instruct measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science1519Not measuredOnly Claude Opus 4.6 measured
LMArena Text: medicine and healthcare1504Not measuredOnly Claude Opus 4.6 measured
LMArena Text: legal and government1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: business and finance1497Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index30
Web design benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
Design Arena: websites12911087Claude Opus 4.6
Design Arena: UI components12841046Claude Opus 4.6
Design Arena: game dev1278Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz12791085Claude Opus 4.6
Design Arena: 3D1274Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1289Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1254Not 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 index20
General benchmarks for Claude Opus 4.6 and Qwen3 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
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%32.7%Claude Opus 4.6
Long context reasoning (AA-LCR)78.0%32.7%Claude Opus 4.6
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
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 Text1501Not measuredOnly Claude Opus 4.6 measured
LMArena Text: instruction following1521Not measuredOnly Claude Opus 4.6 measured
LMArena Text: creative writing1505Not measuredOnly Claude Opus 4.6 measured
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: non-English1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Chinese1551Not measuredOnly Claude Opus 4.6 measured
LMArena Text: German1500Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Japanese1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.6 measured
LMArena Text: French1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Spanish1510Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Russian1497Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: longer queries1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: writing and language1502Not measuredOnly Claude Opus 4.6 measured
LMArena Text: entertainment and media1492Not measuredOnly Claude Opus 4.6 measured
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
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 Coder 30B A3B Instruct
BenchmarkClaude Opus 4.6Qwen3 Coder 30B A3B InstructLeader
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 Coder 30B A3B Instruct$0.0002Fits in one request

Qwen3 Coder 30B A3B Instruct costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
Qwen3 Coder 30B A3B Instruct$0.0043Fits in one request

Qwen3 Coder 30B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
Qwen3 Coder 30B A3B Instruct$0.017Fits in one request

Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B Instruct
SpecificationAnthropic Claude Opus 4.6Qwen3 Coder 30B A3B Instruct
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026July 31, 2025
Context window1M262K
Input $/Mtok$5.00$0.07
Output $/Mtok$25.00$0.28
Coding index66.960.4
Independent measurements behind it21
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 60.4 for Qwen3 Coder 30B A3B Instruct. Pick Qwen3 Coder 30B A3B Instruct when output tokens cost 89.3x less.

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

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 Coder 30B A3B Instruct costs $0.07 and $0.28. Cost per solved task is known for Claude Opus 4.6 only.

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

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

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

11 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 2 independent benchmarks and Qwen3 Coder 30B A3B Instruct's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next