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Claude Opus 4.1 vs Qwen3 Next 80B A3B Instruct

Claude Opus 4.1 leads Qwen3 Next 80B A3B Instruct on the Artificial Analysis Intelligence Index, 22.8 to 9.6, and Qwen3 Next 80B A3B Instruct costs 68.2x less per output token ($1.10 vs $75.00 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
19
Qwen3 Next 80B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.10
10
vs boards won of 29 shared

Claude Opus 4.1 or Qwen3 Next 80B A3B Instruct: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: math or LMArena Text: mathematical work, where it leads.

Shared results
29
Claude Opus 4.1 only
44
Qwen3 Next 80B A3B Instruct only
12
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 4.1 not benchmarked, Qwen3 Next 80B A3B Instruct not benchmarked.
Widest category
Intelligence, 13.2 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Claude Opus 4.1 22.8 against Qwen3 Next 80B A3B Instruct 9.6, 13.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Qwen3 Next 80B A3B Instruct $1.10 per million output tokens, 68.2x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Qwen3 Next 80B A3B Instruct 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 4.1BarsQwen3 Next 80B A3B InstructTies
Coding20
Intelligence10
Reasoning30
Math02
Knowledge04
General134
All shared boards1910
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured78.4%Only Qwen3 Next 80B A3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)Not measured9.8%Only Qwen3 Next 80B A3B Instruct 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
LMArena Text: coding14791440Claude Opus 4.1
LMArena Text: software and IT14561447Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
AA Intelligence Index22.89.6Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
τ²-Bench TelecomNot measured41.5%Only Qwen3 Next 80B A3B Instruct measured
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 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured75.9%Only Qwen3 Next 80B A3B Instruct measured
Humanity's Last Exam (Artificial Analysis run)Not measured12.6%Only Qwen3 Next 80B A3B Instruct measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421428Claude Opus 4.1
LMArena Text: expert14381417Claude Opus 4.1
LMArena Text: hard prompts in English14511431Claude Opus 4.1
Kagi LLM BenchmarkNot measured66.7%Only Qwen3 Next 80B A3B Instruct measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
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
AA Math IndexNot measured84.3Only Qwen3 Next 80B A3B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured84.3%Only Qwen3 Next 80B A3B Instruct measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311440Qwen3 Next 80B A3B Instruct
LMArena Text: mathematical work14341434Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Qwen3 Next 80B A3B Instruct measured
LMArena Text: science14221434Qwen3 Next 80B A3B Instruct
LMArena Text: medicine and healthcare14161455Qwen3 Next 80B A3B Instruct
LMArena Text: legal and government14211431Qwen3 Next 80B A3B Instruct
LMArena Text: business and finance14061422Qwen3 Next 80B A3B Instruct
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 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 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not 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 index134
General benchmarks for Claude Opus 4.1 and Qwen3 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured60.7%Only Qwen3 Next 80B A3B Instruct measured
Long context reasoning (AA-LCR)Not measured63.7%Only Qwen3 Next 80B A3B Instruct measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Fiction.LiveBenchNot measured55.6%Only Qwen3 Next 80B A3B Instruct measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191417Claude Opus 4.1
LMArena Text: instruction following14351388Claude Opus 4.1
LMArena Text: creative writing14121333Claude Opus 4.1
LMArena Text: English14331421Claude Opus 4.1
LMArena Text: non-English14051407Qwen3 Next 80B A3B Instruct
LMArena Text: Chinese14271460Qwen3 Next 80B A3B Instruct
LMArena Text: German14131416Qwen3 Next 80B A3B Instruct
LMArena Text: Japanese13771395Qwen3 Next 80B A3B Instruct
LMArena Text: Korean13811363Claude Opus 4.1
LMArena Text: French14331414Claude Opus 4.1
LMArena Text: Spanish14481435Claude Opus 4.1
LMArena Text: Russian14221404Claude Opus 4.1
LMArena Text: Polish14131398Claude Opus 4.1
LMArena Text: multi-turn14441416Claude Opus 4.1
LMArena Text: longer queries14551402Claude Opus 4.1
LMArena Text: writing and language14181355Claude Opus 4.1
LMArena Text: entertainment and media13981349Claude Opus 4.1
Neither model has a result on the other 21 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 Next 80B A3B Instruct
BenchmarkClaude Opus 4.1Qwen3 Next 80B A3B InstructLeader
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 Next 80B A3B Instruct$0.0006Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Qwen3 Next 80B A3B Instruct$0.0083Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Qwen3 Next 80B A3B Instruct$0.031Fits in one request

Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct
SpecificationAnthropic Claude Opus 4.1Qwen3 Next 80B A3B Instruct
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025September 11, 2025
Context window200K262K
Input $/Mtok$15.00$0.10
Output $/Mtok$75.00$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Qwen3 Next 80B A3B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: math or LMArena Text: mathematical work, where it leads.

Which is cheaper, Claude Opus 4.1 or Qwen3 Next 80B A3B Instruct?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Qwen3 Next 80B A3B Instruct costs $0.10 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Qwen3 Next 80B A3B Instruct?

Qwen3 Next 80B A3B Instruct, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Qwen3 Next 80B A3B Instruct comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3 Next 80B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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