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Claude Opus 4.7 vs Qwen3.5 Plus 2026-04-20

Claude Opus 4.7 leads Qwen3.5 Plus 2026-04-20 on coding, 67.5 to 39.5 on the Vibe Coding Index, and Qwen3.5 Plus 2026-04-20 costs 13.9x less per output token ($1.80 vs $25.00 per million). Updated October 22, 2026; 21 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
20
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
1
vs boards won of 21 shared

Claude Opus 4.7 or Qwen3.5 Plus 2026-04-20: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20.

Pick Qwen3.5 Plus 2026-04-20 for output tokens 13.9x cheaper ($1.80 vs $25.00 per million) and a lower cost per solved task ($1.35 against $2.95).

Shared results
21
Claude Opus 4.7 only
88
Qwen3.5 Plus 2026-04-20 only
4
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 4.7 67.5 from 4 benchmarks, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
Agentic work, 68.4 points apart on average over 1 shared benchmark.
Widest single gap
Vending-Bench 2: Claude Opus 4.7 $10,937 against Qwen3.5 Plus 2026-04-20 $1, 68.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 13.9x apart.
Context window
Both take 1M tokens.

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 4.7BarsQwen3.5 Plus 2026-04-20Ties
Coding21
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge60
General30
All shared boards201
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%85.3%Qwen3.5 Plus 2026-04-20
SWE-bench Verified (Vals AI)82.0%71.2%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%15.7%Claude Opus 4.7
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding1519Not measuredOnly Claude Opus 4.7 measured
LMArena Text: software and IT1516Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
AA Intelligence Index40.7Not measuredOnly Claude Opus 4.7 measured
Epoch Capabilities Index156.8146.2Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937$1Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
GPQA Diamond90.2%87.4%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%22.8%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Epoch AI run)90.2%84.8%Claude Opus 4.7
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%8.0%Claude Opus 4.7
Mystery game puzzles28.0%17.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts1506Not measuredOnly Claude Opus 4.7 measured
LMArena Text: expert1521Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts in English1508Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 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 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
AIME96.3%86.0%Claude Opus 4.7
OTIS Mock AIME97.8%86.7%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: mathematical work1509Not measuredOnly Claude Opus 4.7 measured
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
MMLU Pro89.9%87.2%Claude Opus 4.7
LegalBench (Vals AI)85.3%85.1%Claude Opus 4.7
CaseLaw (Vals AI)68.4%59.7%Claude Opus 4.7
CorpFin (Vals AI)66.1%65.3%Claude Opus 4.7
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%60.8%Claude Opus 4.7
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%25.4%Claude Opus 4.7
LMArena Text: science1508Not measuredOnly Claude Opus 4.7 measured
LMArena Text: medicine and healthcare1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: legal and government1504Not measuredOnly Claude Opus 4.7 measured
LMArena Text: business and finance1490Not measuredOnly Claude Opus 4.7 measured
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Claude Opus 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)56.1%30.4%Claude Opus 4.7
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%Not measuredOnly Claude Opus 4.7 measured
DTBench94.7%80.5%Claude Opus 4.7
LMCA52.2%36.4%Claude Opus 4.7
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: instruction following1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: creative writing1486Not measuredOnly Claude Opus 4.7 measured
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English1496Not measuredOnly Claude Opus 4.7 measured
LMArena Text: non-English1480Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Chinese1531Not measuredOnly Claude Opus 4.7 measured
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: longer queries1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: writing and language1492Not measuredOnly Claude Opus 4.7 measured
LMArena Text: entertainment and media1474Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 41311Not measuredOnly Claude Opus 4.7 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 4.7 and Qwen3.5 Plus 2026-04-20
BenchmarkClaude Opus 4.7Qwen3.5 Plus 2026-04-20Leader
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 4.7$0.018Fits in one request
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Qwen3.5 Plus 2026-04-20 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 4.7 and Qwen3.5 Plus 2026-04-20
SpecificationAnthropic Claude Opus 4.7Qwen3.5 Plus 2026-04-20
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026April 27, 2026
Context window1M1M
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$1.80
Coding index67.539.5
Independent measurements behind it42
Cost per solved task$2.95$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3.5 Plus 2026-04-20 for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20. Pick Qwen3.5 Plus 2026-04-20 for output tokens 13.9x cheaper ($1.80 vs $25.00 per million) and a lower cost per solved task ($1.35 against $2.95).

Which is cheaper, Claude Opus 4.7 or Qwen3.5 Plus 2026-04-20?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Qwen3.5 Plus 2026-04-20 $1.35.

Which has the bigger context window, Claude Opus 4.7 or Qwen3.5 Plus 2026-04-20?

Neither: both take 1M tokens.

How many benchmarks is the Claude Opus 4.7 vs Qwen3.5 Plus 2026-04-20 comparison based on?

21 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Qwen3.5 Plus 2026-04-20'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-4-7-vs-qwen3-5-plus-20260420">LLMBenchmark.ai, Claude Opus 4.7 vs Qwen3.5 Plus 2026-04-20</a></p>