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Claude Opus 4.7 vs Qwen3.5 397B A17B

Claude Opus 4.7 leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 40.7 to 21.4, and Qwen3.5 397B A17B costs 10.7x less per output token ($2.34 vs $25.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace Qwen3.5 397B A17B
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
53
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
2
vs boards won of 55 shared

Claude Opus 4.7 or Qwen3.5 397B A17B: which to pick

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for output tokens 10.7x cheaper ($2.34 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 BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
55
Claude Opus 4.7 only
48
Qwen3.5 397B A17B 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, Qwen3.5 397B A17B not benchmarked.
Widest category
Coding, 17.8 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.7 70.2% against Qwen3.5 397B A17B 31.2%, 38.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 10.7x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Qwen3.5 397B A17B 262K.

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 397B A17BTies
Coding60
Intelligence20
Agentic work11
Reasoning90
Math40
Knowledge40
General271
All shared boards532
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Opus 4.7 and Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
LMArena WebDev15581400Claude Opus 4.7
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
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%Not measuredOnly Claude Opus 4.7 measured
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
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)54.5%40.9%Claude Opus 4.7
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 measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: coding15191464Claude Opus 4.7
LMArena Text: software and IT15161463Claude Opus 4.7
LMArena WebDev: React15601388Claude Opus 4.7
LMArena WebDev: HTML15541410Claude Opus 4.7
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 Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
AA Intelligence Index40.721.4Claude Opus 4.7
Epoch Capabilities Index156.8146.8Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Claude Opus 4.7 and Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
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%95.6%Qwen3.5 397B A17B
APEX-Agents49.2%24.9%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
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 Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
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%89.3%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%29.0%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%86.4%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%18.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061448Claude Opus 4.7
LMArena Text: expert15211462Claude Opus 4.7
LMArena Text: hard prompts in English15081450Claude Opus 4.7
LMArena Vision: diagrams13361277Claude Opus 4.7
LMArena Vision: homework13371292Claude 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 Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%88.9%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%31.2%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: math14981453Claude Opus 4.7
LMArena Text: mathematical work15091454Claude 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 index40
Knowledge benchmarks for Claude Opus 4.7 and Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
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%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081457Claude Opus 4.7
LMArena Text: medicine and healthcare14951455Claude Opus 4.7
LMArena Text: legal and government15041441Claude 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 index7 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
Design Arena: websitesNot measured1190Only Qwen3.5 397B A17B measured
Design Arena: UI componentsNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1179Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for Claude Opus 4.7 and Qwen3.5 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
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%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)78.7%77.3%Claude Opus 4.7
DTBench94.7%87.5%Claude Opus 4.7
LMCA52.2%37.9%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901437Claude Opus 4.7
LMArena Text: instruction following14981424Claude Opus 4.7
LMArena Text: creative writing14861402Claude Opus 4.7
LMArena Vision13171262Claude Opus 4.7
LMArena Text: English14961443Claude Opus 4.7
LMArena Text: non-English14801430Claude Opus 4.7
LMArena Text: Chinese15311498Claude Opus 4.7
LMArena Text: German14951445Claude Opus 4.7
LMArena Text: Japanese14741429Claude Opus 4.7
LMArena Text: Korean14641384Claude Opus 4.7
LMArena Text: French15031462Claude Opus 4.7
LMArena Text: Spanish14941441Claude Opus 4.7
LMArena Text: Russian14941430Claude Opus 4.7
LMArena Text: Polish14891447Claude Opus 4.7
LMArena Text: multi-turn15051446Claude Opus 4.7
LMArena Text: longer queries15051441Claude Opus 4.7
LMArena Text: writing and language14921415Claude Opus 4.7
LMArena Text: entertainment and media14741399Claude Opus 4.7
LMArena Vision: English13221268Claude Opus 4.7
LMArena Vision: Chinese13711314Claude Opus 4.7
LMArena Vision: reading text13271271Claude Opus 4.7
LMArena Vision: humor13091262Claude Opus 4.7
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing things12781265Claude Opus 4.7
LMArena Vision: creative writing13261260Claude Opus 4.7
LMArena Document1495Not 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 397B A17B
BenchmarkClaude Opus 4.7Qwen3.5 397B A17BLeader
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 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 397B A17B
SpecificationAnthropic Claude Opus 4.7Qwen3.5 397B A17B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026February 16, 2026
Context window1M262K
Input $/Mtok$5.00$0.39
Output $/Mtok$25.00$2.34
Coding index67.5Not benchmarked
Independent measurements behind it41
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3.5 397B A17B for coding?

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 10.7x cheaper ($2.34 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 Qwen3.5 397B A17B?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Qwen3.5 397B A17B?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Qwen3.5 397B A17B comparison based on?

55 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 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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