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Qwen3.5-Flash vs Qwen3 Next 80B A3B Thinking

Qwen3.5-Flash costs 4.6x less per output token than Qwen3 Next 80B A3B Thinking ($0.26 vs $1.20 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace Qwen3.5-Flash Replace Qwen3 Next 80B A3B Thinking
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
28
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
0
vs boards won of 28 shared

Qwen3.5-Flash or Qwen3 Next 80B A3B Thinking: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved taskModel BQwen3 Next 80B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
Qwen3.5-Flash only
27
Qwen3 Next 80B A3B Thinking only
2
Like-for-like categories
5 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
Qwen3.5-Flash 41.1 from 2 benchmarks, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
General, 6.6 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Qwen3.5-Flash 1369 against Qwen3 Next 80B A3B Thinking 1280, 14.7 points apart on a 0 to 100 scale.
Output price
Qwen3.5-Flash $0.26 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 4.6x apart.
Context window
Qwen3.5-Flash takes 1M tokens, Qwen3 Next 80B A3B Thinking 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
CategoryQwen3.5-FlashBarsQwen3 Next 80B A3B ThinkingTies
Coding20
Reasoning30
Math20
Knowledge40
General170
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
LMArena WebDev1244Not measuredOnly Qwen3.5-Flash measured
AA Coding IndexNot measured17.4Only Qwen3 Next 80B A3B Thinking measured
LiveCodeBench (Vals AI)83.3%Not measuredOnly Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)64.4%Not measuredOnly Qwen3.5-Flash measured
ALE-Bench265.9Not measuredOnly Qwen3.5-Flash measured
LMArena Text: coding14121392Qwen3.5-Flash
LMArena Text: software and IT14161393Qwen3.5-Flash
LMArena WebDev: React1229Not measuredOnly Qwen3.5-Flash measured
LMArena WebDev: HTML1291Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
AA Intelligence IndexNot measured11.2Only Qwen3 Next 80B A3B Thinking measured
Epoch Capabilities Index143.5Not measuredOnly Qwen3.5-Flash measured
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
Neither model has a result on 42 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
GPQA Diamond82.8%Not measuredOnly Qwen3.5-Flash measured
MMMU Pro (Vals AI)81.9%Not measuredOnly Qwen3.5-Flash measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Qwen3.5-Flash measured
Chess puzzles14.0%Not measuredOnly Qwen3.5-Flash measured
Mystery game puzzles20.0%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts14031371Qwen3.5-Flash
LMArena Text: expert14071376Qwen3.5-Flash
LMArena Text: hard prompts in English14091384Qwen3.5-Flash
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
AIME92.5%Not measuredOnly Qwen3.5-Flash measured
OTIS Mock AIME84.4%Not measuredOnly Qwen3.5-Flash measured
FrontierMath, tiers 1 to 318.2%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: math14071399Qwen3.5-Flash
LMArena Text: mathematical work14131390Qwen3.5-Flash
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
MMLU Pro84.1%Not measuredOnly Qwen3.5-Flash measured
LegalBench (Vals AI)84.3%Not measuredOnly Qwen3.5-Flash measured
CaseLaw (Vals AI)56.0%Not measuredOnly Qwen3.5-Flash measured
CorpFin (Vals AI)63.6%Not measuredOnly Qwen3.5-Flash measured
TaxEval (Vals AI)72.2%Not measuredOnly Qwen3.5-Flash measured
MortgageTax (Vals AI)67.4%Not measuredOnly Qwen3.5-Flash measured
MedCode (Vals AI)33.0%Not measuredOnly Qwen3.5-Flash measured
SimpleQA Verified20.3%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: science14151384Qwen3.5-Flash
LMArena Text: medicine and healthcare14071392Qwen3.5-Flash
LMArena Text: legal and government13981364Qwen3.5-Flash
LMArena Text: business and finance13941360Qwen3.5-Flash
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 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 Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 Next 80B A3B ThinkingLeader
SAGE (Vals AI)42.5%Not measuredOnly Qwen3.5-Flash measured
MedScribe (Vals AI)70.6%Not measuredOnly Qwen3.5-Flash measured
DTBench82.9%Not measuredOnly Qwen3.5-Flash measured
LMCA29.1%Not measuredOnly Qwen3.5-Flash measured
LMArena Text13971368Qwen3.5-Flash
LMArena Text: instruction following13741344Qwen3.5-Flash
LMArena Text: creative writing13431314Qwen3.5-Flash
LMArena Text: English14041392Qwen3.5-Flash
LMArena Text: non-English13851342Qwen3.5-Flash
LMArena Text: Chinese14451407Qwen3.5-Flash
LMArena Text: German13901356Qwen3.5-Flash
LMArena Text: Japanese13691280Qwen3.5-Flash
LMArena Text: Korean13441310Qwen3.5-Flash
LMArena Text: French14131351Qwen3.5-Flash
LMArena Text: Spanish14001358Qwen3.5-Flash
LMArena Text: Russian13801337Qwen3.5-Flash
LMArena Text: Polish13761345Qwen3.5-Flash
LMArena Text: multi-turn13931346Qwen3.5-Flash
LMArena Text: longer queries13921353Qwen3.5-Flash
LMArena Text: writing and language13691330Qwen3.5-Flash
LMArena Text: entertainment and media13471312Qwen3.5-Flash
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
BenchmarkQwen3.5-FlashQwen3 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

Qwen3.5-Flash$0.0002Fits in one request
Qwen3 Next 80B A3B Thinking$0.0008Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-Flash$0.0040Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-Flash$0.016Fits in one request
Qwen3 Next 80B A3B Thinking$0.042Fits 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 Qwen3.5-Flash and Qwen3 Next 80B A3B Thinking
SpecificationQwen3.5-FlashQwen3 Next 80B A3B Thinking
MakerQwenQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 25, 2026September 11, 2025
Context window1M262K
Input $/Mtok$0.065$0.15
Output $/Mtok$0.26$1.20
Coding index41.1Not benchmarked
Independent measurements behind it20
Cost per solved task$0.40Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-Flash better than Qwen3 Next 80B A3B Thinking for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Qwen3.5-Flash or Qwen3 Next 80B A3B Thinking?

Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Qwen3.5-Flash or Qwen3 Next 80B A3B Thinking?

Qwen3.5-Flash, with 1M tokens against 262K.

How many benchmarks is the Qwen3.5-Flash vs Qwen3 Next 80B A3B Thinking comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-Flash's coding index rests on 2 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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