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Claude Opus 5.5 vs Qwen3.6 27B

Claude Opus 5.5 leads Qwen3.6 27B on coding, 88.8 to 36.8 on the Vibe Coding Index, and Qwen3.6 27B costs 7.4x less per output token ($2.70 vs $20.00 per million). Updated October 22, 2026; 13 benchmarks have a result for both.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
13
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
0
vs boards won of 13 shared

Claude Opus 5.5 or Qwen3.6 27B: which to pick

Pick Claude Opus 5.5 for coding: it scores 88.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for output tokens 7.4x cheaper ($2.70 vs $20.00 per million).

Shared results
13
Claude Opus 5.5 only
96
Qwen3.6 27B only
11
Like-for-like categories
5 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 5.5 88.8 from 5 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 51.2 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 5.5 90.3% against Qwen3.6 27B 11.9%, 78.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against Qwen3.6 27B $2.70 per million output tokens, 7.4x apart.
Context window
Claude Opus 5.5 takes 1M tokens, Qwen3.6 27B 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 5.5BarsQwen3.6 27BTies
Coding20
Intelligence20
Reasoning30
Math20
General40
All shared boards130
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
AA Coding IndexNot measured53.7Only Qwen3.6 27B measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Qwen3.6 27B measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%11.9%Claude Opus 5.5
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
SciCode66.9%42.8%Claude Opus 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 27B measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4Not measuredOnly Claude Opus 5.5 measured
LMArena Text: coding1545Not measuredOnly Claude Opus 5.5 measured
LMArena Text: software and IT1538Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
AA Intelligence Index57.621.4Claude Opus 5.5
Epoch Capabilities Index168.8146.2Claude Opus 5.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
Design Arena: agents building web apps1316Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1308Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1368Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured94.2%Only Qwen3.6 27B measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.2%Only Qwen3.6 27B measured
Humanity's Last Exam (Artificial Analysis run)61.4%23.1%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%85.9%Claude Opus 5.5
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%7.0%Claude Opus 5.5
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts1536Not measuredOnly Claude Opus 5.5 measured
LMArena Text: expert1549Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts in English1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
OTIS Mock AIME100.0%91.1%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%35.1%Claude Opus 5.5
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: mathematical work1516Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)Not measured62.3%Only Qwen3.6 27B measured
TaxEval (Vals AI)Not measured71.3%Only Qwen3.6 27B measured
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science1524Not measuredOnly Claude Opus 5.5 measured
LMArena Text: medicine and healthcare1509Not measuredOnly Claude Opus 5.5 measured
LMArena Text: legal and government1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: business and finance1494Not measuredOnly Claude Opus 5.5 measured
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
Design Arena: websites1335Not measuredOnly Claude Opus 5.5 measured
Design Arena: UI components1385Not measuredOnly Claude Opus 5.5 measured
Design Arena: game dev1461Not measuredOnly Claude Opus 5.5 measured
Design Arena: data viz1397Not measuredOnly Claude Opus 5.5 measured
Design Arena: 3D1476Not measuredOnly Claude Opus 5.5 measured
Design Arena: all code categories1390Not measuredOnly Claude Opus 5.5 measured
Design Arena: SVG1329Not measuredOnly Claude Opus 5.5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Opus 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%45.6%Claude Opus 5.5
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
IFBenchNot measured67.6%Only Qwen3.6 27B measured
Long context reasoning (AA-LCR)84.7%77.3%Claude Opus 5.5
DTBench98.9%78.1%Claude Opus 5.5
LMCA68.2%34.5%Claude Opus 5.5
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text1516Not measuredOnly Claude Opus 5.5 measured
LMArena Text: instruction following1537Not measuredOnly Claude Opus 5.5 measured
LMArena Text: creative writing1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English1519Not measuredOnly Claude Opus 5.5 measured
LMArena Text: non-English1507Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Chinese1582Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Japanese1534Not measuredOnly Claude Opus 5.5 measured
LMArena Text: French1493Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Spanish1508Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Russian1517Not measuredOnly Claude Opus 5.5 measured
LMArena Text: multi-turn1501Not measuredOnly Claude Opus 5.5 measured
LMArena Text: longer queries1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: writing and language1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: entertainment and media1515Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 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 5.5 and Qwen3.6 27B
BenchmarkClaude Opus 5.5Qwen3.6 27BLeader
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 5.5$0.014Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 27B 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 5.5 and Qwen3.6 27B
SpecificationAnthropic Claude Opus 5.5Qwen3.6 27B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026April 27, 2026
Context window1M262K
Input $/Mtok$4.00$0.45
Output $/Mtok$20.00$2.70
Coding index88.836.8
Independent measurements behind it52
Cost per solved taskNot computable$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than Qwen3.6 27B for coding?

Pick Claude Opus 5.5 for coding: it scores 88.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for output tokens 7.4x cheaper ($2.70 vs $20.00 per million).

Which is cheaper, Claude Opus 5.5 or Qwen3.6 27B?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.

Which has the bigger context window, Claude Opus 5.5 or Qwen3.6 27B?

Claude Opus 5.5, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 5.5 vs Qwen3.6 27B comparison based on?

13 benchmarks have a result for both models as of October 22, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-5-5-vs-qwen3-6-27b">LLMBenchmark.ai, Claude Opus 5.5 vs Qwen3.6 27B</a></p>