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Claude Opus 4.7 vs Qwen3.5-Flash

Claude Opus 4.7 leads Qwen3.5-Flash on coding, 67.5 to 41.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 96.2x less per output token ($0.26 vs $25.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
54
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
0
vs boards won of 54 shared

Claude Opus 4.7 or Qwen3.5-Flash: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.

Pick Qwen3.5-Flash for output tokens 96.2x cheaper ($0.26 vs $25.00 per million) and a lower cost per solved task ($0.40 against $2.95).

Shared results
54
Claude Opus 4.7 only
55
Qwen3.5-Flash only
1
Like-for-like categories
6 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-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 28.2 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Opus 4.7 1560 against Qwen3.5-Flash 1229, 55.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3.5-Flash $0.26 per million output tokens, 96.2x 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 4.7BarsQwen3.5-FlashTies
Coding70
Intelligence10
Reasoning80
Math50
Knowledge120
General210
All shared boards540
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
LMArena WebDev15581244Claude Opus 4.7
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%83.3%Claude Opus 4.7
SWE-bench Verified (Vals AI)82.0%64.4%Claude Opus 4.7
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
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
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 measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding15191412Claude Opus 4.7
LMArena Text: software and IT15161416Claude Opus 4.7
LMArena WebDev: React15601229Claude Opus 4.7
LMArena WebDev: HTML15541291Claude Opus 4.7
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
AA Intelligence Index40.7Not measuredOnly Claude Opus 4.7 measured
Epoch Capabilities Index156.8143.5Claude Opus 4.7
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
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%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
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
MCP Atlas79.1%Not 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 index80
Reasoning benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
GPQA Diamond90.2%82.8%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%81.9%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Epoch AI run)90.2%82.3%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%14.0%Claude Opus 4.7
Mystery game puzzles28.0%20.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061403Claude Opus 4.7
LMArena Text: expert15211407Claude Opus 4.7
LMArena Text: hard prompts in English15081409Claude Opus 4.7
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
AIME96.3%92.5%Claude Opus 4.7
OTIS Mock AIME97.8%84.4%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%18.2%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: math14981407Claude Opus 4.7
LMArena Text: mathematical work15091413Claude Opus 4.7
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
MMLU Pro89.9%84.1%Claude Opus 4.7
LegalBench (Vals AI)85.3%84.3%Claude Opus 4.7
CaseLaw (Vals AI)68.4%56.0%Claude Opus 4.7
CorpFin (Vals AI)66.1%63.6%Claude Opus 4.7
TaxEval (Vals AI)75.3%72.2%Claude Opus 4.7
MortgageTax (Vals AI)70.3%67.4%Claude Opus 4.7
MedCode (Vals AI)54.9%33.0%Claude Opus 4.7
SimpleQA Verified51.7%20.3%Claude Opus 4.7
LMArena Text: science15081415Claude Opus 4.7
LMArena Text: medicine and healthcare14951407Claude Opus 4.7
LMArena Text: legal and government15041398Claude Opus 4.7
LMArena Text: business and finance14901394Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Claude Opus 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
SAGE (Vals AI)56.1%42.5%Claude Opus 4.7
MedScribe (Vals AI)83.0%70.6%Claude Opus 4.7
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%Not measuredOnly Claude Opus 4.7 measured
DTBench94.7%82.9%Claude Opus 4.7
LMCA52.2%29.1%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901397Claude Opus 4.7
LMArena Text: instruction following14981374Claude Opus 4.7
LMArena Text: creative writing14861343Claude Opus 4.7
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English14961404Claude Opus 4.7
LMArena Text: non-English14801385Claude Opus 4.7
LMArena Text: Chinese15311445Claude Opus 4.7
LMArena Text: German14951390Claude Opus 4.7
LMArena Text: Japanese14741369Claude Opus 4.7
LMArena Text: Korean14641344Claude Opus 4.7
LMArena Text: French15031413Claude Opus 4.7
LMArena Text: Spanish14941400Claude Opus 4.7
LMArena Text: Russian14941380Claude Opus 4.7
LMArena Text: Polish14891376Claude Opus 4.7
LMArena Text: multi-turn15051393Claude Opus 4.7
LMArena Text: longer queries15051392Claude Opus 4.7
LMArena Text: writing and language14921369Claude Opus 4.7
LMArena Text: entertainment and media14741347Claude Opus 4.7
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 41311Not measuredOnly Claude Opus 4.7 measured
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 4.7 and Qwen3.5-Flash
BenchmarkClaude Opus 4.7Qwen3.5-FlashLeader
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-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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-Flash
SpecificationAnthropic Claude Opus 4.7Qwen3.5-Flash
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026February 25, 2026
Context window1M1M
Input $/Mtok$5.00$0.065
Output $/Mtok$25.00$0.26
Coding index67.541.1
Independent measurements behind it42
Cost per solved task$2.95$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3.5-Flash for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 96.2x cheaper ($0.26 vs $25.00 per million) and a lower cost per solved task ($0.40 against $2.95).

Which is cheaper, Claude Opus 4.7 or Qwen3.5-Flash?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Qwen3.5-Flash $0.40.

Which has the bigger context window, Claude Opus 4.7 or Qwen3.5-Flash?

Neither: both take 1M tokens.

How many benchmarks is the Claude Opus 4.7 vs Qwen3.5-Flash comparison based on?

54 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-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-7-vs-qwen3-5-flash-02-23">LLMBenchmark.ai, Claude Opus 4.7 vs Qwen3.5-Flash</a></p>