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Qwen3 Next 80B A3B Instruct vs Qwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking leads Qwen3 Next 80B A3B Instruct on the Artificial Analysis Intelligence Index, 11.2 to 9.6, at about the same output price ($1.20 vs $1.10 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Qwen3 Next 80B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.10
28
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
1
vs boards won of 29 shared

Qwen3 Next 80B A3B Instruct or Qwen3 Next 80B A3B Thinking: which to pick

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

Pick Qwen3 Next 80B A3B Instruct for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by AA Intelligence Index, where it leads.

Shared results
29
Qwen3 Next 80B A3B Instruct only
12
Qwen3 Next 80B A3B Thinking 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
Qwen3 Next 80B A3B Instruct not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
Knowledge, 10.1 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Qwen3 Next 80B A3B Instruct 1395 against Qwen3 Next 80B A3B Thinking 1280, 19.2 points apart on a 0 to 100 scale.
Output price
Qwen3 Next 80B A3B Instruct $1.10 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 1.1x apart.
Context window
Both take 262K 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
CategoryQwen3 Next 80B A3B InstructBarsQwen3 Next 80B A3B ThinkingTies
Coding20
Intelligence01
Reasoning30
Math20
Knowledge40
General170
All shared boards281
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
AA Coding IndexNot measured17.4Only Qwen3 Next 80B A3B Thinking measured
LiveCodeBench (Artificial Analysis run)78.4%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)9.8%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
LMArena Text: coding14401392Qwen3 Next 80B A3B Instruct
LMArena Text: software and IT14471393Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 38 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index9.611.2Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
τ²-Bench Telecom41.5%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
GPQA Diamond (Artificial Analysis run)75.9%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Humanity's Last Exam (Artificial Analysis run)12.6%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
LMArena Text: hard prompts14281371Qwen3 Next 80B A3B Instruct
LMArena Text: expert14171376Qwen3 Next 80B A3B Instruct
LMArena Text: hard prompts in English14311384Qwen3 Next 80B A3B Instruct
Kagi LLM Benchmark66.7%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
AA Math Index84.3Not measuredOnly Qwen3 Next 80B A3B Instruct measured
AIME 2025 (Artificial Analysis run)84.3%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
LMArena Text: math14401399Qwen3 Next 80B A3B Instruct
LMArena Text: mathematical work14341390Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
LMArena Text: science14341384Qwen3 Next 80B A3B Instruct
LMArena Text: medicine and healthcare14551392Qwen3 Next 80B A3B Instruct
LMArena Text: legal and government14311364Qwen3 Next 80B A3B Instruct
LMArena Text: business and finance14221360Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 15 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
IFBench60.7%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Long context reasoning (AA-LCR)63.7%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
Fiction.LiveBench55.6%Not measuredOnly Qwen3 Next 80B A3B Instruct measured
LMArena Text14171368Qwen3 Next 80B A3B Instruct
LMArena Text: instruction following13881344Qwen3 Next 80B A3B Instruct
LMArena Text: creative writing13331314Qwen3 Next 80B A3B Instruct
LMArena Text: English14211392Qwen3 Next 80B A3B Instruct
LMArena Text: non-English14071342Qwen3 Next 80B A3B Instruct
LMArena Text: Chinese14601407Qwen3 Next 80B A3B Instruct
LMArena Text: German14161356Qwen3 Next 80B A3B Instruct
LMArena Text: Japanese13951280Qwen3 Next 80B A3B Instruct
LMArena Text: Korean13631310Qwen3 Next 80B A3B Instruct
LMArena Text: French14141351Qwen3 Next 80B A3B Instruct
LMArena Text: Spanish14351358Qwen3 Next 80B A3B Instruct
LMArena Text: Russian14041337Qwen3 Next 80B A3B Instruct
LMArena Text: Polish13981345Qwen3 Next 80B A3B Instruct
LMArena Text: multi-turn14161346Qwen3 Next 80B A3B Instruct
LMArena Text: longer queries14021353Qwen3 Next 80B A3B Instruct
LMArena Text: writing and language13551330Qwen3 Next 80B A3B Instruct
LMArena Text: entertainment and media13491312Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 28 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3 Next 80B A3B InstructQwen3 Next 80B A3B ThinkingLeader
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

Qwen3 Next 80B A3B Instruct$0.0006Fits in one request
Qwen3 Next 80B A3B Thinking$0.0008Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Repository review

50K input + 3K output tokens

Qwen3 Next 80B A3B Instruct$0.0083Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

Qwen3 Next 80B A3B Instruct$0.031Fits in one request
Qwen3 Next 80B A3B Thinking$0.042Fits 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 Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
SpecificationQwen3 Next 80B A3B InstructQwen3 Next 80B A3B Thinking
MakerQwenQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 11, 2025September 11, 2025
Context window262K262K
Input $/Mtok$0.10$0.15
Output $/Mtok$1.10$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 Next 80B A3B Instruct better than Qwen3 Next 80B A3B Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 Next 80B A3B Instruct for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by AA Intelligence Index, where it leads.

Which is cheaper, Qwen3 Next 80B A3B Instruct or Qwen3 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Instruct costs $0.10 per million input tokens and $1.10 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3 Next 80B A3B Instruct or Qwen3 Next 80B A3B Thinking?

Neither: both take 262K tokens.

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

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

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