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Claude Opus 4.1 vs Qwen3.7 Plus

Qwen3.7 Plus leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 25.2 to 22.8, and Qwen3.7 Plus costs 58.6x less per output token ($1.28 vs $75.00 per million). Updated October 21, 2026; 46 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Qwen3.7 Plus
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
4
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
42
vs boards won of 46 shared

Claude Opus 4.1 or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: coding or Mystery game puzzles, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
46
Claude Opus 4.1 only
27
Qwen3.7 Plus only
29
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 4.1 not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Math, 14.6 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 4.1 68.9% against Qwen3.7 Plus 93.3%, 24.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Qwen3.7 Plus $1.28 per million output tokens, 58.6x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Qwen3.7 Plus 1M.

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 4.1BarsQwen3.7 PlusTies
Coding11
Intelligence02
Reasoning14
Math04
Knowledge05
Web design17
General119
All shared boards442
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791473Claude Opus 4.1
LMArena Text: software and IT14561473Qwen3.7 Plus
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
AA Intelligence Index22.825.2Qwen3.7 Plus
Epoch Capabilities Index144.1147.0Qwen3.7 Plus
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured90.0%Only Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.6%Only Qwen3.7 Plus measured
GPQA Diamond (Epoch AI run)77.3%87.9%Qwen3.7 Plus
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%17.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421460Qwen3.7 Plus
LMArena Text: expert14381466Qwen3.7 Plus
LMArena Text: hard prompts in English14511460Qwen3.7 Plus
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 312.6%34.4%Qwen3.7 Plus
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311467Qwen3.7 Plus
LMArena Text: mathematical work14341470Qwen3.7 Plus
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%66.2%Qwen3.7 Plus
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: science14221464Qwen3.7 Plus
LMArena Text: medicine and healthcare14161464Qwen3.7 Plus
LMArena Text: legal and government14211451Qwen3.7 Plus
LMArena Text: business and finance14061435Qwen3.7 Plus
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
Design Arena: websites11771269Qwen3.7 Plus
Design Arena: UI components11651261Qwen3.7 Plus
Design Arena: game dev11711262Qwen3.7 Plus
Design Arena: data viz11661276Qwen3.7 Plus
Design Arena: 3D11531239Qwen3.7 Plus
Design Arena: all code categories11711269Qwen3.7 Plus
Design Arena: SVG11521208Qwen3.7 Plus
Design Arena: ASCII art11671143Claude Opus 4.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
General benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
SAGE (Vals AI)31.4%39.3%Qwen3.7 Plus
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)Not measured73.0%Only Qwen3.7 Plus measured
DTBench80.0%84.0%Qwen3.7 Plus
LMCA37.1%37.6%Qwen3.7 Plus
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191454Qwen3.7 Plus
LMArena Text: instruction following14351439Qwen3.7 Plus
LMArena Text: creative writing14121438Qwen3.7 Plus
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: English14331458Qwen3.7 Plus
LMArena Text: non-English14051445Qwen3.7 Plus
LMArena Text: Chinese14271509Qwen3.7 Plus
LMArena Text: German14131471Qwen3.7 Plus
LMArena Text: Japanese13771412Qwen3.7 Plus
LMArena Text: Korean13811413Qwen3.7 Plus
LMArena Text: French14331472Qwen3.7 Plus
LMArena Text: Spanish14481457Qwen3.7 Plus
LMArena Text: Russian14221457Qwen3.7 Plus
LMArena Text: Polish14131449Qwen3.7 Plus
LMArena Text: multi-turn14441459Qwen3.7 Plus
LMArena Text: longer queries14551454Claude Opus 4.1
LMArena Text: writing and language14181437Qwen3.7 Plus
LMArena Text: entertainment and media13981422Qwen3.7 Plus
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Qwen3.7 Plus
BenchmarkClaude Opus 4.1Qwen3.7 PlusLeader
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 4.1$0.052Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 4.1 and Qwen3.7 Plus
SpecificationAnthropic Claude Opus 4.1Qwen3.7 Plus
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025June 3, 2026
Context window200K1M
Input $/Mtok$15.00$0.32
Output $/Mtok$75.00$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: coding or Mystery game puzzles, where it leads.

Which is cheaper, Claude Opus 4.1 or Qwen3.7 Plus?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Qwen3.7 Plus comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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