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Qwen3.5 Plus 2026-04-20 vs Hy4

Hy4 leads Qwen3.5 Plus 2026-04-20 on coding, 65.2 to 39.5 on the Vibe Coding Index, and Hy4 costs 1.4x less per output token ($1.2505 vs $1.80 per million). Updated November 5, 2026; 1 benchmarks have a result for both.

Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
0
Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
1
vs boards won of 1 shared

Qwen3.5 Plus 2026-04-20 or Hy4: which to pick

Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20.

Qwen3.5 Plus 2026-04-20 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
1
Qwen3.5 Plus 2026-04-20 only
23
Hy4 only
5
Like-for-like categories
1 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 Plus 2026-04-20 39.5 from 2 benchmarks, Hy4 65.2 from 2 benchmarks.
Widest category
Coding, 65.3 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Qwen3.5 Plus 2026-04-20 15.7% against Hy4 81.0%, 65.3 points apart on a 0 to 100 scale.
Output price
Qwen3.5 Plus 2026-04-20 $1.80 against Hy4 $1.2505 per million output tokens, 1.4x apart.
Context window
Qwen3.5 Plus 2026-04-20 takes 1M tokens, Hy4 1.05M.

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 Plus 2026-04-20BarsHy4Ties
Coding01
All shared boards01
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
LiveCodeBench (Vals AI)85.3%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)71.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Terminal-Bench 4 (Vals AI)Not measured39.4%Only Hy4 measured
Vibe Code Bench (Vals AI)15.7%81.0%Hy4
ALE-Bench608.9Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 45 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
Epoch Capabilities Index147.2Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
Tax Agent Bench (Vals AI)Not measured34.4%Only Hy4 measured
Legal Research Bench (Vals AI)Not measured41.4%Only Hy4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.5%Only Hy4 measured
Vending-Bench 2$1Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
GPQA Diamond87.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)22.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Chess puzzles9.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzles17.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
AIME86.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIME86.7%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
MMLU Pro87.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)85.1%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)59.7%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)65.3%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)60.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)95.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
SimpleQA Verified25.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
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 Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
General benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
Vals IndexNot measured59.4%Only Hy4 measured
DTBench80.5%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
LMCA36.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CL-bench19.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CL-bench Life12.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5 Plus 2026-04-20 and Hy4
BenchmarkQwen3.5 Plus 2026-04-20Hy4Leader
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 Plus 2026-04-20$0.0012Fits in one request
Hy4$0.0010Fits in one request

Hy4 costs less

Repository review

50K input + 3K output tokens

Qwen3.5 Plus 2026-04-20$0.020Fits in one request
Hy4$0.025Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Qwen3.5 Plus 2026-04-20$0.078Fits in one request
Hy4$0.096Fits in one request

Qwen3.5 Plus 2026-04-20 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 Plus 2026-04-20 and Hy4
SpecificationQwen3.5 Plus 2026-04-20Tencent Hy4
MakerQwenTencent
WeightsNo public weights listedOpen weights
ReleasedApril 27, 2026November 4, 2026
Context window1M1.05M
Input $/Mtok$0.30$0.417
Output $/Mtok$1.80$1.2505
Coding index39.565.2
Independent measurements behind it22
Cost per solved task$1.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5 Plus 2026-04-20 better than Hy4 for coding?

Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20. Qwen3.5 Plus 2026-04-20 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Qwen3.5 Plus 2026-04-20 or Hy4?

Qwen3.5 Plus 2026-04-20 costs $0.30 per million input tokens and $1.80 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Qwen3.5 Plus 2026-04-20 or Hy4?

Hy4, with 1.05M tokens against 1M.

How many benchmarks is the Qwen3.5 Plus 2026-04-20 vs Hy4 comparison based on?

1 benchmarks have a result for both models as of November 5, 2026. Qwen3.5 Plus 2026-04-20's coding index rests on 2 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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