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Qwen3.5-27B vs Hy3 preview

Hy3 preview leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 25.3 to 22.9, and Hy3 preview costs 2.6x less per output token ($0.60 vs $1.56 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
23
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
11
vs boards won of 34 shared

Qwen3.5-27B or Hy3 preview: which to pick

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

Pick Qwen3.5-27B for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena WebDev: React, where it leads.

Shared results
34
Qwen3.5-27B only
19
Hy3 preview only
2
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
Qwen3.5-27B not benchmarked, Hy3 preview not benchmarked.
Widest category
General, 3.5 points apart on average over 15 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Qwen3.5-27B 77.7% against Hy3 preview 64.7%, 13.0 points apart on a 0 to 100 scale.
Output price
Qwen3.5-27B $1.56 against Hy3 preview $0.60 per million output tokens, 2.6x 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
CategoryQwen3.5-27BBarsHy3 previewTies
Coding42
Intelligence01
Agentic work10
Reasoning32
Math11
Knowledge31
General114
All shared boards2311
CodingLike-for-likeSix of these boards feed the Vibe Coding Index42
Coding benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
LMArena WebDev13581357Qwen3.5-27B
AA Coding IndexNot measured58.8Only Hy3 preview measured
Terminal-Bench Hard (Artificial Analysis run)32.6%34.1%Hy3 preview
WeirdML39.5%Not measuredOnly Qwen3.5-27B measured
ALE-Bench349.4Not measuredOnly Qwen3.5-27B measured
LMArena Text: coding14271421Qwen3.5-27B
LMArena Text: software and IT14311423Qwen3.5-27B
LMArena WebDev: React13461349Hy3 preview
LMArena WebDev: HTML13861356Qwen3.5-27B
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
AA Intelligence Index22.925.3Hy3 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 Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench Telecom93.9%92.7%Qwen3.5-27B
Vending-Bench 2$202Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
GPQA Diamond (Artificial Analysis run)85.8%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)23.9%27.8%Hy3 preview
LMArena Text: hard prompts14151413Qwen3.5-27B
LMArena Text: expert14271422Qwen3.5-27B
LMArena Text: hard prompts in English14291416Qwen3.5-27B
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-27B measured
LMArena Vision: homework1256Not measuredOnly Qwen3.5-27B 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 Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
LMArena Text: math14291424Qwen3.5-27B
LMArena Text: mathematical work14291442Hy3 preview
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
LMArena Text: science14371416Qwen3.5-27B
LMArena Text: medicine and healthcare14251405Qwen3.5-27B
LMArena Text: legal and government14051430Hy3 preview
LMArena Text: business and finance13991397Qwen3.5-27B
Neither model has a result on the other 14 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 previewLeader
IFBench75.6%63.1%Qwen3.5-27B
Long context reasoning (AA-LCR)77.7%64.7%Qwen3.5-27B
DTBench82.4%Not measuredOnly Qwen3.5-27B measured
LMCA34.0%Not measuredOnly Qwen3.5-27B measured
LMArena Text14091401Qwen3.5-27B
LMArena Text: instruction following13931383Qwen3.5-27B
LMArena Text: creative writing13621339Qwen3.5-27B
LMArena Vision1241Not measuredOnly Qwen3.5-27B measured
LMArena Text: English14251409Qwen3.5-27B
LMArena Text: non-English13901390Hy3 preview
LMArena Text: Chinese14781435Qwen3.5-27B
LMArena Text: German1392Not measuredOnly Qwen3.5-27B measured
LMArena Text: Japanese1346Not measuredOnly Qwen3.5-27B measured
LMArena Text: Korean1359Not measuredOnly Qwen3.5-27B measured
LMArena Text: French14101425Hy3 preview
LMArena Text: Spanish14071399Qwen3.5-27B
LMArena Text: Russian13901399Hy3 preview
LMArena Text: Polish1375Not measuredOnly Qwen3.5-27B measured
LMArena Text: multi-turn14101411Hy3 preview
LMArena Text: longer queries14131402Qwen3.5-27B
LMArena Text: writing and language13801370Qwen3.5-27B
LMArena Text: entertainment and media13631352Qwen3.5-27B
LMArena Vision: English1246Not measuredOnly Qwen3.5-27B measured
LMArena Vision: Chinese1301Not measuredOnly Qwen3.5-27B measured
LMArena Vision: reading text1246Not measuredOnly Qwen3.5-27B measured
LMArena Vision: humor1227Not measuredOnly Qwen3.5-27B measured
LMArena Vision: captioning1170Not measuredOnly Qwen3.5-27B measured
LMArena Vision: recognizing things1210Not measuredOnly Qwen3.5-27B measured
LMArena Vision: creative writing1224Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-27B and Hy3 preview
BenchmarkQwen3.5-27BHy3 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

Qwen3.5-27B$0.0010Fits in one request
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

Qwen3.5-27B$0.014Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-27B$0.055Fits 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 Qwen3.5-27B and Hy3 preview
SpecificationQwen3.5-27BTencent Hy3 preview
MakerQwenTencent
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026April 22, 2026
Context window262K262K
Input $/Mtok$0.195$0.18
Output $/Mtok$1.56$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-27B better than Hy3 preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5-27B for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena WebDev: React, where it leads.

Which is cheaper, Qwen3.5-27B or Hy3 preview?

Qwen3.5-27B costs $0.195 per million input tokens and $1.56 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, Qwen3.5-27B or Hy3 preview?

Neither: both take 262K tokens.

How many benchmarks is the Qwen3.5-27B vs Hy3 preview comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-27B'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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