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Claude Opus 4.6 vs Qwen3.7 Plus

Claude Opus 4.6 leads Qwen3.7 Plus on coding, 57.2 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; 63 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
60
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
3
vs boards won of 63 shared

Claude Opus 4.6 or Qwen3.7 Plus: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 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 GPQA Diamond (Artificial Analysis run), where it leads.

Shared results
63
Claude Opus 4.6 only
47
Qwen3.7 Plus only
12
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 4.6 57.2 from 4 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Math, 12.6 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.6 66.0% against Qwen3.7 Plus 34.4%, 31.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $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 4.6BarsQwen3.7 PlusTies
Coding50
Intelligence20
Agentic work01
Reasoning81
Math40
Knowledge50
Web design80
General281
All shared boards603
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%46.4%Claude Opus 4.6
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)48.5%47.0%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%10.2%Claude Opus 4.6
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341473Claude Opus 4.6
LMArena Text: software and IT15271473Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
AA Intelligence Index31.925.2Claude Opus 4.6
Epoch Capabilities Index155.7147.0Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1196Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 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 Telecom92.1%93.0%Qwen3.7 Plus
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)39.9%35.6%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%87.9%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%17.0%Claude Opus 4.6
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251460Claude Opus 4.6
LMArena Text: expert15441466Claude Opus 4.6
LMArena Text: hard prompts in English15301460Claude Opus 4.6
LMArena Vision: diagrams13401292Claude Opus 4.6
LMArena Vision: homework13371295Claude Opus 4.6
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 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 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%93.3%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%34.4%Claude Opus 4.6
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181467Claude Opus 4.6
LMArena Text: mathematical work15251470Claude Opus 4.6
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 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%66.2%Claude Opus 4.6
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191464Claude Opus 4.6
LMArena Text: medicine and healthcare15041464Claude Opus 4.6
LMArena Text: legal and government15121451Claude Opus 4.6
LMArena Text: business and finance14971435Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
Design Arena: websites12911269Claude Opus 4.6
Design Arena: UI components12841261Claude Opus 4.6
Design Arena: game dev12781262Claude Opus 4.6
Design Arena: data viz12791276Claude Opus 4.6
Design Arena: 3D12741239Claude Opus 4.6
Design Arena: all code categories12891269Claude Opus 4.6
Design Arena: SVG12281208Claude Opus 4.6
Design Arena: ASCII art12551143Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Claude Opus 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 PlusLeader
SAGE (Vals AI)51.6%39.3%Claude Opus 4.6
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench53.1%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)78.0%73.0%Claude Opus 4.6
DTBench91.2%84.0%Claude Opus 4.6
LMCA55.8%37.6%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011454Claude Opus 4.6
LMArena Text: instruction following15211439Claude Opus 4.6
LMArena Text: creative writing15051438Claude Opus 4.6
LMArena Vision13161278Claude Opus 4.6
LMArena Text: English15111458Claude Opus 4.6
LMArena Text: non-English14881445Claude Opus 4.6
LMArena Text: Chinese15511509Claude Opus 4.6
LMArena Text: German15001471Claude Opus 4.6
LMArena Text: Japanese14881412Claude Opus 4.6
LMArena Text: Korean14641413Claude Opus 4.6
LMArena Text: French15121472Claude Opus 4.6
LMArena Text: Spanish15101457Claude Opus 4.6
LMArena Text: Russian14971457Claude Opus 4.6
LMArena Text: Polish14991449Claude Opus 4.6
LMArena Text: multi-turn15111459Claude Opus 4.6
LMArena Text: longer queries15181454Claude Opus 4.6
LMArena Text: writing and language15021437Claude Opus 4.6
LMArena Text: entertainment and media14921422Claude Opus 4.6
LMArena Vision: English13241280Claude Opus 4.6
LMArena Vision: Chinese13701332Claude Opus 4.6
LMArena Vision: reading text13261288Claude Opus 4.6
LMArena Vision: humor13141261Claude Opus 4.6
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311258Claude Opus 4.6
LMArena Document15071444Claude Opus 4.6
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 4.6 and Qwen3.7 Plus
BenchmarkClaude Opus 4.6Qwen3.7 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 4.6$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 4.6$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 4.6$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 4.6 and Qwen3.7 Plus
SpecificationAnthropic Claude Opus 4.6Qwen3.7 Plus
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026June 3, 2026
Context window1M1M
Input $/Mtok$5.00$0.32
Output $/Mtok$25.00$1.28
Coding index57.233.2
Independent measurements behind it42
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than Qwen3.7 Plus for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 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 GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, Claude Opus 4.6 or Qwen3.7 Plus?

Claude Opus 4.6 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 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or Qwen3.7 Plus?

Neither: both take 1M tokens.

How many benchmarks is the Claude Opus 4.6 vs Qwen3.7 Plus comparison based on?

63 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6'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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