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Claude Opus 4.7 vs Qwen3.7 Plus

Claude Opus 4.7 leads Qwen3.7 Plus on coding, 67.5 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; 65 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace Qwen3.7 Plus
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
63
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
2
vs boards won of 65 shared

Claude Opus 4.7 or Qwen3.7 Plus: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 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 work measured by τ²-Bench Telecom or IFBench, where it leads.

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
65
Claude Opus 4.7 only
38
Qwen3.7 Plus only
10
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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 19.4 points apart on average over 8 shared benchmarks.
Widest single gap
FrontierCode: Claude Opus 4.7 38.5% against Qwen3.7 Plus 10.2%, 43.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3.7 Plus $1.28 per million output tokens, 19.5x 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 4.7BarsQwen3.7 PlusTies
Coding80
Intelligence20
Agentic work61
Reasoning90
Math40
Knowledge50
General291
All shared boards632
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.655.9Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)71.0%46.4%Claude Opus 4.7
Code migration (Vals AI)43.9%12.9%Claude Opus 4.7
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%52.8%Claude Opus 4.7
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)54.5%47.0%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%10.2%Claude Opus 4.7
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
LMArena Text: coding15191473Claude Opus 4.7
LMArena Text: software and IT15161473Claude Opus 4.7
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
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
AA Intelligence Index40.725.2Claude Opus 4.7
Epoch Capabilities Index156.8147.0Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index61
Agentic work benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
AA Agentic Index38.617.5Claude Opus 4.7
Finance Agent (Vals AI)51.5%38.2%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%10.5%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%16.4%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%49.3%Claude Opus 4.7
τ²-Bench Telecom88.6%93.0%Qwen3.7 Plus
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%2.8%Claude Opus 4.7
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not 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 index90
Reasoning benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%90.0%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%35.6%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%87.9%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%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%17.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061460Claude Opus 4.7
LMArena Text: expert15211466Claude Opus 4.7
LMArena Text: hard prompts in English15081460Claude Opus 4.7
LMArena Vision: diagrams13361292Claude Opus 4.7
LMArena Vision: homework13371295Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%93.3%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%34.4%Claude Opus 4.7
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math14981467Claude Opus 4.7
LMArena Text: mathematical work15091470Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%66.2%Claude Opus 4.7
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081464Claude Opus 4.7
LMArena Text: medicine and healthcare14951464Claude Opus 4.7
LMArena Text: legal and government15041451Claude Opus 4.7
LMArena Text: business and finance14901435Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
Design Arena: websitesNot measured1269Only Qwen3.7 Plus measured
Design Arena: UI componentsNot measured1261Only Qwen3.7 Plus measured
Design Arena: game devNot measured1262Only Qwen3.7 Plus measured
Design Arena: data vizNot measured1276Only Qwen3.7 Plus measured
Design Arena: 3DNot measured1239Only Qwen3.7 Plus measured
Design Arena: all code categoriesNot measured1269Only Qwen3.7 Plus measured
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for Claude Opus 4.7 and Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 PlusLeader
SAGE (Vals AI)56.1%39.3%Claude Opus 4.7
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%53.9%Claude Opus 4.7
IFBench58.6%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)78.7%73.0%Claude Opus 4.7
DTBench94.7%84.0%Claude Opus 4.7
LMCA52.2%37.6%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901454Claude Opus 4.7
LMArena Text: instruction following14981439Claude Opus 4.7
LMArena Text: creative writing14861438Claude Opus 4.7
LMArena Vision13171278Claude Opus 4.7
LMArena Text: English14961458Claude Opus 4.7
LMArena Text: non-English14801445Claude Opus 4.7
LMArena Text: Chinese15311509Claude Opus 4.7
LMArena Text: German14951471Claude Opus 4.7
LMArena Text: Japanese14741412Claude Opus 4.7
LMArena Text: Korean14641413Claude Opus 4.7
LMArena Text: French15031472Claude Opus 4.7
LMArena Text: Spanish14941457Claude Opus 4.7
LMArena Text: Russian14941457Claude Opus 4.7
LMArena Text: Polish14891449Claude Opus 4.7
LMArena Text: multi-turn15051459Claude Opus 4.7
LMArena Text: longer queries15051454Claude Opus 4.7
LMArena Text: writing and language14921437Claude Opus 4.7
LMArena Text: entertainment and media14741422Claude Opus 4.7
LMArena Vision: English13221280Claude Opus 4.7
LMArena Vision: Chinese13711332Claude Opus 4.7
LMArena Vision: reading text13271288Claude Opus 4.7
LMArena Vision: humor13091261Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261258Claude Opus 4.7
LMArena Document14951444Claude Opus 4.7
Neither model has a result on the other 12 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 Qwen3.7 Plus
BenchmarkClaude Opus 4.7Qwen3.7 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 4.7$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 4.7$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 4.7$1.25Fits in one request
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 4.7 and Qwen3.7 Plus
SpecificationAnthropic Claude Opus 4.7Qwen3.7 Plus
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026June 3, 2026
Context window1M1M
Input $/Mtok$5.00$0.32
Output $/Mtok$25.00$1.28
Coding index67.533.2
Independent measurements behind it42
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3.7 Plus for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 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 work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Opus 4.7 or Qwen3.7 Plus?

Claude Opus 4.7 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 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Qwen3.7 Plus?

Neither: both take 1M tokens.

How many benchmarks is the Claude Opus 4.7 vs Qwen3.7 Plus comparison based on?

65 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 4 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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