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Qwen-Plus vs Hy3 preview

Updated October 21, 2026. 22 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Qwen-PlusQwen
Coding
No data
Overall
No data
Output $/M
$0.78
0
Hy3 previewTencent
Coding
No data
Overall
25.3
Output $/M
$0.60
22
vs boards won of 22 shared

Decision reading

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

Qwen-Plus has the edge where the context window is larger, 1M against 262K tokens, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
22
Qwen-Plus only
6
Hy3 preview only
14
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Qwen-Plus not benchmarked, Hy3 preview not benchmarked.
Widest category
Math, 17.3 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: mathematical work: Qwen-Plus 1332 against Hy3 preview 1442, 18.2 points apart on a 0 to 100 scale.
Output price
Qwen-Plus $0.78 against Hy3 preview $0.60 per million output tokens, 1.3x apart.
Context window
Qwen-Plus takes 1M tokens, Hy3 preview 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
CategoryQwen-PlusBarsHy3 previewTies
Coding02
Reasoning03
Math02
Knowledge04
General011
All shared boards022
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
LMArena WebDevNot measured1357Only Hy3 preview measured
AA Coding IndexNot measured58.8Only Hy3 preview measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.1%Only Hy3 preview measured
LMArena Text: coding13281421Hy3 preview
LMArena Text: software and IT13431423Hy3 preview
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTMLNot measured1356Only Hy3 preview measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
AA Intelligence IndexNot measured25.3Only Hy3 preview measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench TelecomNot measured92.7%Only Hy3 preview measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
GPQA Diamond (Artificial Analysis run)Not measured86.7%Only Hy3 preview measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.8%Only Hy3 preview measured
GPQA Diamond (Epoch AI run)48.1%Not measuredOnly Qwen-Plus measured
LMArena Text: hard prompts13171413Hy3 preview
LMArena Text: expert13281422Hy3 preview
LMArena Text: hard prompts in English13331416Hy3 preview
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
OTIS Mock AIME17.8%Not measuredOnly Qwen-Plus measured
MATH level 565.3%Not measuredOnly Qwen-Plus measured
LMArena Text: math13261424Hy3 preview
LMArena Text: mathematical work13321442Hy3 preview
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
LMArena Text: science13521416Hy3 preview
LMArena Text: medicine and healthcare13501405Hy3 preview
LMArena Text: legal and government13491430Hy3 preview
LMArena Text: business and finance13031397Hy3 preview
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index011
General benchmarks for Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 previewLeader
IFBenchNot measured63.1%Only Hy3 preview measured
Long context reasoning (AA-LCR)Not measured64.7%Only Hy3 preview measured
DTBench81.1%Not measuredOnly Qwen-Plus measured
LMCA24.0%Not measuredOnly Qwen-Plus measured
LMArena Text13261401Hy3 preview
LMArena Text: instruction following13031383Hy3 preview
LMArena Text: creative writing12921339Hy3 preview
LMArena Text: English13391409Hy3 preview
LMArena Text: non-English13101390Hy3 preview
LMArena Text: Chinese13471435Hy3 preview
LMArena Text: Japanese1251Not measuredOnly Qwen-Plus measured
LMArena Text: FrenchNot measured1425Only Hy3 preview measured
LMArena Text: SpanishNot measured1399Only Hy3 preview measured
LMArena Text: Russian13231399Hy3 preview
LMArena Text: multi-turn13361411Hy3 preview
LMArena Text: longer queries13241402Hy3 preview
LMArena Text: writing and language12961370Hy3 preview
LMArena Text: entertainment and media12701352Hy3 preview
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 Qwen-Plus and Hy3 preview
BenchmarkQwen-PlusHy3 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

Qwen-Plus$0.0006Fits in one request
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

Qwen-Plus$0.015Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

Qwen-Plus$0.060Fits 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 Qwen-Plus and Hy3 preview
SpecificationQwen-PlusTencent Hy3 preview
MakerQwenTencent
WeightsNo public weights listedOpen weights
ReleasedFebruary 1, 2025April 22, 2026
Context window1M262K
Input $/Mtok$0.26$0.18
Output $/Mtok$0.78$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen-Plus better than Hy3 preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Qwen-Plus has the edge where the context window is larger, 1M against 262K tokens, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Qwen-Plus or Hy3 preview?

Qwen-Plus costs $0.26 per million input tokens and $0.78 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, Qwen-Plus or Hy3 preview?

Qwen-Plus, with 1M tokens against 262K.

How many benchmarks is the Qwen-Plus vs Hy3 preview comparison based on?

22 benchmarks have a result for both models as of October 21, 2026. Qwen-Plus's coding index rests on 0 independent benchmarks 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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