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Qwen3.5-122B-A10B vs Hy3 preview

Hy3 preview leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 25.3 to 17.7, and Hy3 preview costs 3.5x less per output token ($0.60 vs $2.08 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace Qwen3.5-122B-A10B Replace Hy3 preview
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
27
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
8
vs boards won of 35 shared

Qwen3.5-122B-A10B or Hy3 preview: which to pick

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

Pick Qwen3.5-122B-A10B for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BHy3 previewTencentNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
35
Qwen3.5-122B-A10B only
16
Hy3 preview only
1
Like-for-like categories
7 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, Hy3 preview not benchmarked.
Widest category
Intelligence, 7.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Qwen3.5-122B-A10B 43.3 against Hy3 preview 58.8, 15.5 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Hy3 preview $0.60 per million output tokens, 3.5x 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
CategoryQwen3.5-122B-A10BBarsHy3 previewTies
Coding43
Intelligence01
Agentic work10
Reasoning32
Math11
Knowledge31
General150
All shared boards278
CodingLike-for-likeSix of these boards feed the Vibe Coding Index43
Coding benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
LMArena WebDev13611357Qwen3.5-122B-A10B
AA Coding Index43.358.8Hy3 preview
SciCode39.7%Not measuredOnly Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)31.1%34.1%Hy3 preview
LMArena Text: coding14361421Qwen3.5-122B-A10B
LMArena Text: software and IT14361423Qwen3.5-122B-A10B
LMArena WebDev: React13531349Qwen3.5-122B-A10B
LMArena WebDev: HTML13511356Hy3 preview
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
AA Intelligence Index17.725.3Hy3 preview
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench Telecom93.6%92.7%Qwen3.5-122B-A10B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
GPQA Diamond (Artificial Analysis run)85.7%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)25.2%27.8%Hy3 preview
Mystery game puzzles17.0%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14211413Qwen3.5-122B-A10B
LMArena Text: expert14311422Qwen3.5-122B-A10B
LMArena Text: hard prompts in English14311416Qwen3.5-122B-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 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
LMArena Text: math14311424Qwen3.5-122B-A10B
LMArena Text: mathematical work14311442Hy3 preview
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
LMArena Text: science14321416Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare14231405Qwen3.5-122B-A10B
LMArena Text: legal and government14221430Hy3 preview
LMArena Text: business and finance14141397Qwen3.5-122B-A10B
Neither model has a result on the other 16 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 Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Qwen3.5-122B-A10B and Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
IFBench75.7%63.1%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)76.3%64.7%Qwen3.5-122B-A10B
DTBench84.3%Not measuredOnly Qwen3.5-122B-A10B measured
LMCA32.2%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text14171401Qwen3.5-122B-A10B
LMArena Text: instruction following13991383Qwen3.5-122B-A10B
LMArena Text: creative writing13681339Qwen3.5-122B-A10B
LMArena Vision1244Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: English14281409Qwen3.5-122B-A10B
LMArena Text: non-English14011390Qwen3.5-122B-A10B
LMArena Text: Chinese14631435Qwen3.5-122B-A10B
LMArena Text: German1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Japanese1367Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Korean1353Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: French14431425Qwen3.5-122B-A10B
LMArena Text: Spanish14251399Qwen3.5-122B-A10B
LMArena Text: Russian14001399Qwen3.5-122B-A10B
LMArena Text: Polish1398Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: multi-turn14161411Qwen3.5-122B-A10B
LMArena Text: longer queries14101402Qwen3.5-122B-A10B
LMArena Text: writing and language13871370Qwen3.5-122B-A10B
LMArena Text: entertainment and media13661352Qwen3.5-122B-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 21 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 Hy3 preview
BenchmarkQwen3.5-122B-A10BHy3 previewLeader
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
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-122B-A10B$0.073Fits in one request
Hy3 preview$0.042Fits in one request

Hy3 preview 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 Hy3 preview
SpecificationQwen3.5-122B-A10BTencent Hy3 preview
MakerQwenTencent
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026April 22, 2026
Context window262K262K
Input $/Mtok$0.26$0.18
Output $/Mtok$2.08$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Hy3 preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Qwen3.5-122B-A10B or Hy3 preview?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.5-122B-A10B or Hy3 preview?

Neither: both take 262K tokens.

How many benchmarks is the Qwen3.5-122B-A10B vs Hy3 preview comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

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