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Claude Opus 4.6 vs Qwen3.6 35B A3B

Claude Opus 4.6 leads Qwen3.6 35B A3B on the Artificial Analysis Intelligence Index, 31.9 to 18.2, and Qwen3.6 35B A3B costs 25.0x less per output token ($1.00 vs $25.00 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
14
Qwen3.6 35B A3BQwen
Coding
No data
Overall
45.0
Output $/M
$1.00
2
vs boards won of 16 shared

Claude Opus 4.6 or Qwen3.6 35B A3B: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.6 35B A3B for output tokens 25.0x cheaper ($1.00 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Shared results
16
Claude Opus 4.6 only
103
Qwen3.6 35B A3B only
4
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 4.6 57.2 from 4 benchmarks, Qwen3.6 35B A3B not benchmarked.
Widest category
Coding, 37.4 points apart on average over 3 shared benchmarks.
Widest single gap
Terminal-Bench: Claude Opus 4.6 79.8% against Qwen3.6 35B A3B 24.6%, 55.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Qwen3.6 35B A3B $1.00 per million output tokens, 25.0x apart.
Context window
Claude Opus 4.6 takes 1M tokens, Qwen3.6 35B A3B 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 4.6BarsQwen3.6 35B A3BTies
Coding30
Intelligence20
Agentic work01
Reasoning40
Math20
General31
All shared boards142
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
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
AA Coding IndexNot measured41.9Only Qwen3.6 35B A3B 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
SciCodeNot measured36.6%Only Qwen3.6 35B A3B measured
Terminal-Bench Hard (Artificial Analysis run)48.5%34.8%Claude Opus 4.6
Terminal-Bench79.8%24.6%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%34.5%Claude Opus 4.6
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
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 index20
Intelligence benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
AA Intelligence Index31.918.2Claude Opus 4.6
Epoch Capabilities Index155.7143.7Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
AA Agentic IndexNot measured13.1Only Qwen3.6 35B A3B measured
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 games1213Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%95.3%Qwen3.6 35B A3B
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
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 index40
Reasoning benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
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%84.1%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%22.2%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%84.8%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%22.0%Claude Opus 4.6
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
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 index20
Math benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%86.7%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%20.4%Claude Opus 4.6
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
MathArena23.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Knowledge benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
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
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
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 4 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 Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
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 index31
General benchmarks for Claude Opus 4.6 and Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B A3BLeader
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%64.4%Qwen3.6 35B A3B
Long context reasoning (AA-LCR)78.0%71.7%Claude Opus 4.6
DTBench91.2%73.9%Claude Opus 4.6
LMCA55.8%29.7%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Surface Evolver BenchNot measured44.4%Only Qwen3.6 35B A3B 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
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 11 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 Qwen3.6 35B A3B
BenchmarkClaude Opus 4.6Qwen3.6 35B 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 4.6$0.018Fits in one request
Qwen3.6 35B A3B$0.0006Fits in one request

Qwen3.6 35B A3B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
Qwen3.6 35B A3B$0.0080Fits in one request

Qwen3.6 35B A3B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
Qwen3.6 35B A3B$0.030Fits in one request

Qwen3.6 35B 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 4.6 and Qwen3.6 35B A3B
SpecificationAnthropic Claude Opus 4.6Qwen3.6 35B A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026April 27, 2026
Context window1M262K
Input $/Mtok$5.00$0.10
Output $/Mtok$25.00$1.00
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 Qwen3.6 35B A3B for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding. Pick Qwen3.6 35B A3B for output tokens 25.0x cheaper ($1.00 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Opus 4.6 or Qwen3.6 35B A3B?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.6 35B A3B costs $0.10 and $1.00. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or Qwen3.6 35B A3B?

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

How many benchmarks is the Claude Opus 4.6 vs Qwen3.6 35B A3B comparison based on?

16 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 Qwen3.6 35B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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