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Qwen3.5-122B-A10B vs Qwen3.5-Flash

Qwen3.5-Flash costs 8.0x less per output token than Qwen3.5-122B-A10B ($0.26 vs $2.08 per million). Updated October 23, 2026; 34 benchmarks have a result for both.

Replace Qwen3.5-122B-A10B Replace Qwen3.5-Flash
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
32
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
2
vs boards won of 34 shared

Qwen3.5-122B-A10B or Qwen3.5-Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model AQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
34
Qwen3.5-122B-A10B only
17
Qwen3.5-Flash only
21
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
Qwen3.5-122B-A10B not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 11.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: Qwen3.5-122B-A10B 1352 against Qwen3.5-Flash 1229, 20.5 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Qwen3.5-Flash $0.26 per million output tokens, 8.0x apart.
Context window
Qwen3.5-122B-A10B takes 262K 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
CategoryQwen3.5-122B-A10BBarsQwen3.5-FlashTies
Coding50
Reasoning31
Math20
Knowledge40
General181
All shared boards322
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
LMArena WebDev13611244Qwen3.5-122B-A10B
AA Coding Index43.3Not measuredOnly Qwen3.5-122B-A10B measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
SciCode39.7%Not measuredOnly Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)31.1%Not measuredOnly Qwen3.5-122B-A10B measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14361412Qwen3.5-122B-A10B
LMArena Text: software and IT14361416Qwen3.5-122B-A10B
LMArena WebDev: React13521229Qwen3.5-122B-A10B
LMArena WebDev: HTML13521291Qwen3.5-122B-A10B
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
AA Intelligence Index17.7Not measuredOnly Qwen3.5-122B-A10B measured
Epoch Capabilities IndexNot measured143.5Only Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
τ²-Bench Telecom93.6%Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)85.7%Not measuredOnly Qwen3.5-122B-A10B measured
Humanity's Last Exam (Artificial Analysis run)25.2%Not measuredOnly Qwen3.5-122B-A10B measured
GPQA Diamond (Epoch AI run)Not measured82.3%Only Qwen3.5-Flash measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzles17.0%20.0%Qwen3.5-Flash
LMArena Text: hard prompts14211403Qwen3.5-122B-A10B
LMArena Text: expert14311407Qwen3.5-122B-A10B
LMArena Text: hard prompts in English14311409Qwen3.5-122B-A10B
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: homework1261Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
OTIS Mock AIMENot measured84.4%Only Qwen3.5-Flash measured
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math14311407Qwen3.5-122B-A10B
LMArena Text: mathematical work14311413Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
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)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14331415Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare14231407Qwen3.5-122B-A10B
LMArena Text: legal and government14221397Qwen3.5-122B-A10B
LMArena Text: business and finance14141394Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-FlashLeader
SAGE (Vals AI)Not measured42.5%Only Qwen3.5-Flash measured
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
IFBench75.7%Not measuredOnly Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)76.3%Not measuredOnly Qwen3.5-122B-A10B measured
DTBench84.3%82.9%Qwen3.5-122B-A10B
LMCA32.2%29.1%Qwen3.5-122B-A10B
LMArena Text14181397Qwen3.5-122B-A10B
LMArena Text: instruction following14001375Qwen3.5-122B-A10B
LMArena Text: creative writing13681343Qwen3.5-122B-A10B
LMArena Vision1244Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: English14281404Qwen3.5-122B-A10B
LMArena Text: non-English14011385Qwen3.5-122B-A10B
LMArena Text: Chinese14631446Qwen3.5-122B-A10B
LMArena Text: German14251391Qwen3.5-122B-A10B
LMArena Text: Japanese13671369Qwen3.5-Flash
LMArena Text: Korean13531344Qwen3.5-122B-A10B
LMArena Text: French14431413Qwen3.5-122B-A10B
LMArena Text: Spanish14251399Qwen3.5-122B-A10B
LMArena Text: Russian14001380Qwen3.5-122B-A10B
LMArena Text: Polish13991376Qwen3.5-122B-A10B
LMArena Text: multi-turn14171393Qwen3.5-122B-A10B
LMArena Text: longer queries14111392Qwen3.5-122B-A10B
LMArena Text: writing and language13871369Qwen3.5-122B-A10B
LMArena Text: entertainment and media13661347Qwen3.5-122B-A10B
LMArena Vision: English1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: Chinese1301Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: reading text1251Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: humor1243Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: creative writing1220Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-122B-A10B and Qwen3.5-Flash
BenchmarkQwen3.5-122B-A10BQwen3.5-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

Qwen3.5-122B-A10B$0.0013Fits in one request
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-122B-A10B$0.073Fits 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 Qwen3.5-122B-A10B and Qwen3.5-Flash
SpecificationQwen3.5-122B-A10BQwen3.5-Flash
MakerQwenQwen
WeightsOpen weightsNo public weights listed
ReleasedFebruary 25, 2026February 25, 2026
Context window262K1M
Input $/Mtok$0.26$0.065
Output $/Mtok$2.08$0.26
Coding indexNot benchmarked41.1
Independent measurements behind it12
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Qwen3.5-Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, Qwen3.5-122B-A10B or Qwen3.5-Flash?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 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, Qwen3.5-122B-A10B or Qwen3.5-Flash?

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

How many benchmarks is the Qwen3.5-122B-A10B vs Qwen3.5-Flash comparison based on?

34 benchmarks have a result for both models as of October 23, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark 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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