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Claude Opus 4.1 vs Qwen3.5-Flash

Updated October 21, 2026. 48 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
36
Qwen3.5-FlashQwen
Coding
6.2
Overall
No data
Output $/M
$0.26
12
vs boards won of 48 shared

Decision reading

Pick Claude Opus 4.1 for coding: it scores 27.2 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash.

Pick Qwen3.5-Flash when output tokens cost 288.5x less, or when the context window is larger, 1M against 200K tokens.

Shared results
48
Claude Opus 4.1 only
23
Qwen3.5-Flash only
7
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4.1 27.2 from 1 benchmark, Qwen3.5-Flash 6.2 from 1 benchmark.
Widest category
Coding, 14.7 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: Claude Opus 4.1 1390 against Qwen3.5-Flash 1244, 20.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Qwen3.5-Flash $0.26 per million output tokens, 288.5x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Qwen3.5-Flash 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 4.1BarsQwen3.5-FlashTies
Coding41
Intelligence10
Reasoning43
Math23
Knowledge72
General183
All shared boards3612
CodingLike-for-likeFour of these boards feed the Vibe Coding Index41
Coding benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
LMArena WebDev13901244Claude Opus 4.1
LiveCodeBench (Vals AI)66.5%83.3%Qwen3.5-Flash
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14791412Claude Opus 4.1
LMArena Text: software and IT14561416Claude Opus 4.1
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTML13991291Claude Opus 4.1
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
AA Intelligence Index22.8Not measuredOnly Claude Opus 4.1 measured
Epoch Capabilities Index144.1143.5Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
Reasoning benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
GPQA Diamond76.3%82.8%Qwen3.5-Flash
MMMU Pro (Vals AI)77.5%81.9%Qwen3.5-Flash
GPQA Diamond (Epoch AI run)77.3%82.3%Qwen3.5-Flash
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzles21.0%20.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421403Claude Opus 4.1
LMArena Text: expert14381407Claude Opus 4.1
LMArena Text: hard prompts in English14511409Claude Opus 4.1
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index23
Math benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
AIME78.2%92.5%Qwen3.5-Flash
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%84.4%Qwen3.5-Flash
FrontierMath, tiers 1 to 312.6%18.2%Qwen3.5-Flash
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311407Claude Opus 4.1
LMArena Text: mathematical work14341413Claude Opus 4.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
MMLU Pro87.9%84.1%Claude Opus 4.1
LegalBench (Vals AI)83.5%84.3%Qwen3.5-Flash
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)73.7%72.2%Claude Opus 4.1
MortgageTax (Vals AI)61.1%67.4%Qwen3.5-Flash
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%33.0%Claude Opus 4.1
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14221415Claude Opus 4.1
LMArena Text: medicine and healthcare14161407Claude Opus 4.1
LMArena Text: legal and government14211398Claude Opus 4.1
LMArena Text: business and finance14061394Claude Opus 4.1
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
Design Arena: websites1177Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1164Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1172Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1153Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-FlashLeader
SAGE (Vals AI)31.4%42.5%Qwen3.5-Flash
MedScribe (Vals AI)73.9%70.6%Claude Opus 4.1
DTBench80.0%82.9%Qwen3.5-Flash
LMCA37.1%29.1%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191397Claude Opus 4.1
LMArena Text: instruction following14351374Claude Opus 4.1
LMArena Text: creative writing14121343Claude Opus 4.1
LMArena Text: English14331404Claude Opus 4.1
LMArena Text: non-English14051385Claude Opus 4.1
LMArena Text: Chinese14271445Qwen3.5-Flash
LMArena Text: German14131390Claude Opus 4.1
LMArena Text: Japanese13771369Claude Opus 4.1
LMArena Text: Korean13811344Claude Opus 4.1
LMArena Text: French14331413Claude Opus 4.1
LMArena Text: Spanish14481400Claude Opus 4.1
LMArena Text: Russian14221380Claude Opus 4.1
LMArena Text: Polish14131376Claude Opus 4.1
LMArena Text: multi-turn14441393Claude Opus 4.1
LMArena Text: longer queries14551392Claude Opus 4.1
LMArena Text: writing and language14181369Claude Opus 4.1
LMArena Text: entertainment and media13981347Claude Opus 4.1
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Qwen3.5-Flash
BenchmarkClaude Opus 4.1Qwen3.5-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 4.1$0.052Fits 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 4.1$0.975Fits 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 4.1$3.75Exceeds the context window
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 4.1 and Qwen3.5-Flash
SpecificationAnthropic Claude Opus 4.1Qwen3.5-Flash
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025February 25, 2026
Context window200K1M
Input $/Mtok$15.00$0.065
Output $/Mtok$75.00$0.26
Coding index27.26.2
Independent measurements behind it11
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Qwen3.5-Flash for coding?

Pick Claude Opus 4.1 for coding: it scores 27.2 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash. Pick Qwen3.5-Flash when output tokens cost 288.5x less, or when the context window is larger, 1M against 200K tokens.

Which is cheaper, Claude Opus 4.1 or Qwen3.5-Flash?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Claude Opus 4.1 or Qwen3.5-Flash?

Qwen3.5-Flash, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Qwen3.5-Flash comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3.5-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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