Qwen3.7 Plus vs Hy4
Hy4 leads Qwen3.7 Plus on coding, 65.2 to 33.2 on the Vibe Coding Index, at about the same output price ($1.2505 vs $1.28 per million). Updated November 5, 2026; 3 benchmarks have a result for both.
Qwen3.7 Plus or Hy4: which to pick
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Qwen3.7 Plus is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 3
- Qwen3.7 Plus only
- 72
- Hy4 only
- 3
- Like-for-like categories
- 2 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.
Coding
Vibe Coding Index, six public coding benchmarks
Hy4
Hy4 scores 65.2 against 33.2.
2 benchmarks behind each score
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1267.
Directional only
General
Vals Index
No call
Only Hy4 has a Vals Index result, 59.4%.
Directional only
Long documents
Listed context window
Hy4
Hy4 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Qwen3.7 Plus $0.0010, Hy4 $0.0010 per turn.
List prices
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, Hy4 65.2 from 2 benchmarks.
- Widest category
- Coding, 34.6 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against Hy4 81.0%, 34.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against Hy4 $1.2505 per million output tokens, 1.0x apart.
- Context window
- Qwen3.7 Plus 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.
| Category | Qwen3.7 Plus | Bars | Hy4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| All shared boards | 0 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| AA Coding Index | 55.9 | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 39.4% | Only Hy4 measured |
| Vibe Code Bench (Vals AI) | 46.4% | 81.0% | Hy4 |
| Code migration (Vals AI) | 12.9% | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | 52.8% | Not measured | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | 54.3% | Not measured | Only Qwen3.7 Plus measured |
| SciCode | 46.1% | Not measured | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Qwen3.7 Plus measured |
| FrontierCode | 10.2% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: coding | 1473 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: software and IT | 1473 | Not measured | Only Qwen3.7 Plus measured |
| GameBench 2 | 31.3 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 147.8 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| AA Agentic Index | 17.5 | Not measured | Only Qwen3.7 Plus measured |
| Finance Agent (Vals AI) | 38.2% | Not measured | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | 10.5% | 34.4% | Hy4 |
| Legal Research Bench (Vals AI) | 16.4% | 41.4% | Hy4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.5% | Only Hy4 measured |
| Excel Modeling Benchmark (Vals AI) | 49.3% | Not measured | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | 93.0% | Not measured | Only Qwen3.7 Plus measured |
| OSWorld 2.0 | 2.8% | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 90.0% | Not measured | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | Not measured | Only Qwen3.7 Plus measured |
| GPQA Diamond (Epoch AI run) | 87.9% | Not measured | Only Qwen3.7 Plus measured |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1460 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: expert | 1466 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts in English | 1460 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: diagrams | 1292 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | 1295 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | Not measured | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: math | 1467 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: mathematical work | 1470 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | 66.2% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: science | 1464 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: medicine and healthcare | 1465 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: legal and government | 1452 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: business and finance | 1435 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1267 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: UI components | 1258 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: game dev | 1262 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: data viz | 1277 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: 3D | 1236 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: all code categories | 1267 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: SVG | 1207 | Not measured | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | 1138 | Not measured | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index31 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 59.4% | Only Hy4 measured |
| SAGE (Vals AI) | 89.2% | Not measured | Only Qwen3.7 Plus measured |
| Vals Multimodal Index | 53.9% | Not measured | Only Qwen3.7 Plus measured |
| IFBench | 78.0% | Not measured | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 73.0% | Not measured | Only Qwen3.7 Plus measured |
| DTBench | 84.0% | Not measured | Only Qwen3.7 Plus measured |
| LMCA | 37.6% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text | 1455 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: instruction following | 1440 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: creative writing | 1438 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision | 1278 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1459 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: non-English | 1445 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Chinese | 1510 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: German | 1470 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Japanese | 1412 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Korean | 1413 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: French | 1471 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Spanish | 1456 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Russian | 1458 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: Polish | 1449 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: multi-turn | 1459 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: longer queries | 1454 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: writing and language | 1437 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: entertainment and media | 1421 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: English | 1280 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | 1332 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | 1288 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | 1261 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | 1258 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Document | 1444 | Not measured | Only Qwen3.7 Plus 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
| Benchmark | Qwen3.7 Plus | Hy4 | Leader |
|---|---|---|---|
| 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
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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.
| Specification | Qwen3.7 Plus | Tencent Hy4 |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | November 4, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.32 | $0.417 |
| Output $/Mtok | $1.28 | $1.2505 |
| Coding index | 33.2 | 65.2 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than Hy4 for coding?
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Qwen3.7 Plus is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Qwen3.7 Plus or Hy4?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.7 Plus or Hy4?
Hy4, with 1.05M tokens against 1M.
How many benchmarks is the Qwen3.7 Plus vs Hy4 comparison based on?
3 benchmarks have a result for both models as of November 5, 2026. Qwen3.7 Plus'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.