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Claude Opus 4.5 vs Qwen3.7 Plus

Claude Opus 4.5 leads Qwen3.7 Plus on coding, 44.0 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 19.5x less per output token ($1.28 vs $25.00 per million). Updated October 21, 2026; 54 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Qwen3.7 Plus
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
27
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
25
vs boards won of 54 shared, 2 tied

Claude Opus 4.5 or Qwen3.7 Plus: which to pick

Pick Claude Opus 4.5 for coding: it scores 44.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 19.5x cheaper ($1.28 vs $25.00 per million) and a larger context window (1M against 200K tokens).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
54
Claude Opus 4.5 only
54
Qwen3.7 Plus only
21
Like-for-like categories
8 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 4.5 44.0 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 8.1 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Qwen3.7 Plus 46.4%, 25.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Qwen3.7 Plus $1.28 per million output tokens, 19.5x apart.
Context window
Claude Opus 4.5 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 4.5BarsQwen3.7 PlusTies
Coding211 tie
Intelligence20
Agentic work01
Reasoning43
Math031 tie
Knowledge32
Web design17
General158
All shared boards27252 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%46.4%Qwen3.7 Plus
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
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)47.0%47.0%Tie
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031473Claude Opus 4.5
LMArena Text: software and IT14831473Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
AA Intelligence Index29.125.2Claude Opus 4.5
Epoch Capabilities Index150.1147.0Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1175Not measuredOnly Claude Opus 4.5 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 Telecom89.5%93.0%Qwen3.7 Plus
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
Reasoning benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)30.1%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)86.0%87.9%Qwen3.7 Plus
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%17.0%Claude Opus 4.5
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761460Claude Opus 4.5
LMArena Text: expert14871466Claude Opus 4.5
LMArena Text: hard prompts in English14821460Claude Opus 4.5
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 334.4%34.4%Tie
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math14631467Qwen3.7 Plus
LMArena Text: mathematical work14681470Qwen3.7 Plus
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%66.2%Claude Opus 4.5
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541464Qwen3.7 Plus
LMArena Text: medicine and healthcare14441464Qwen3.7 Plus
LMArena Text: legal and government14591451Claude Opus 4.5
LMArena Text: business and finance14481435Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
Design Arena: websites12471269Qwen3.7 Plus
Design Arena: UI components12381261Qwen3.7 Plus
Design Arena: game dev12291262Qwen3.7 Plus
Design Arena: data viz12431276Qwen3.7 Plus
Design Arena: 3D12141239Qwen3.7 Plus
Design Arena: all code categories12421269Qwen3.7 Plus
Design Arena: SVG11811208Qwen3.7 Plus
Design Arena: ASCII art11901143Claude Opus 4.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index158
General benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 PlusLeader
SAGE (Vals AI)52.1%39.3%Claude Opus 4.5
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench58.0%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)77.3%73.0%Claude Opus 4.5
DTBench89.9%84.0%Claude Opus 4.5
LMCA44.5%37.6%Claude Opus 4.5
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511454Qwen3.7 Plus
LMArena Text: instruction following14781439Claude Opus 4.5
LMArena Text: creative writing14451438Claude Opus 4.5
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: English14611458Claude Opus 4.5
LMArena Text: non-English14381445Qwen3.7 Plus
LMArena Text: Chinese14701509Qwen3.7 Plus
LMArena Text: German14491471Qwen3.7 Plus
LMArena Text: Japanese14171412Claude Opus 4.5
LMArena Text: Korean14241413Claude Opus 4.5
LMArena Text: French14711472Qwen3.7 Plus
LMArena Text: Spanish14571457Claude Opus 4.5
LMArena Text: Russian14471457Qwen3.7 Plus
LMArena Text: Polish14391449Qwen3.7 Plus
LMArena Text: multi-turn14661459Claude Opus 4.5
LMArena Text: longer queries14791454Claude Opus 4.5
LMArena Text: writing and language14521437Claude Opus 4.5
LMArena Text: entertainment and media14341422Claude Opus 4.5
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 Document14621444Claude Opus 4.5
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Qwen3.7 Plus
BenchmarkClaude Opus 4.5Qwen3.7 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 4.5$0.018Fits 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 4.5$0.325Fits 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 4.5$1.25Exceeds 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 4.5 and Qwen3.7 Plus
SpecificationAnthropic Claude Opus 4.5Qwen3.7 Plus
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025June 3, 2026
Context window200K1M
Input $/Mtok$5.00$0.32
Output $/Mtok$25.00$1.28
Coding index44.033.2
Independent measurements behind it32
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Qwen3.7 Plus for coding?

Pick Claude Opus 4.5 for coding: it scores 44.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 19.5x cheaper ($1.28 vs $25.00 per million) and a larger context window (1M against 200K tokens).

Which is cheaper, Claude Opus 4.5 or Qwen3.7 Plus?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or Qwen3.7 Plus?

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

How many benchmarks is the Claude Opus 4.5 vs Qwen3.7 Plus comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks 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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