Qwen3.7 Plus vs Hy3
Hy3 costs 3.9x less per output token than Qwen3.7 Plus ($0.33 vs $1.28 per million). Updated October 21, 2026; 40 benchmarks have a result for both.
Qwen3.7 Plus or Hy3: which to pick
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding.
Pick Hy3 for output tokens 3.9x cheaper ($0.33 vs $1.28 per million) and work measured by SciCode or LMArena Text: math, where it leads.
- Shared results
- 40
- Qwen3.7 Plus only
- 35
- Hy3 only
- 4
- Like-for-like categories
- 6 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
No call
Only Qwen3.7 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3.7 Plus has a AA Intelligence Index result, 25.2.
Directional only
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
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1230.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Qwen3.7 Plus $0.0010, Hy3 $0.0002 per turn.
List prices
At a glance
- Coding index
- Qwen3.7 Plus 33.2 from 2 benchmarks, Hy3 not benchmarked.
- Widest category
- Web design, 5.1 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: data viz: Qwen3.7 Plus 1276 against Hy3 1163, 14.1 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Plus $1.28 against Hy3 $0.33 per million output tokens, 3.9x apart.
- Context window
- Qwen3.7 Plus takes 1M tokens, Hy3 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.
| Category | Qwen3.7 Plus | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Reasoning | 5 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| Web design | 7 | 1 | ||
| General | 17 | 1 | ||
| All shared boards | 35 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1507 | Only Hy3 measured |
| AA Coding Index | 55.9 | Not measured | Only Qwen3.7 Plus measured |
| Vibe Code Bench (Vals AI) | 46.4% | Not measured | Only Qwen3.7 Plus measured |
| 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% | 48.6% | Hy3 |
| 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 |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1473 | 1466 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1473 | 1463 | Qwen3.7 Plus |
| LMArena WebDev: React | Not measured | 1511 | Only Hy3 measured |
| LMArena WebDev: HTML | Not measured | 1487 | Only Hy3 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.2 | Not measured | Only Qwen3.7 Plus measured |
| Epoch Capabilities Index | 147.0 | Not measured | Only Qwen3.7 Plus measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy3 | 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% | Not measured | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | 16.4% | Not measured | Only Qwen3.7 Plus 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 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 90.0% | 89.7% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 35.6% | 33.5% | Qwen3.7 Plus |
| 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 | 1447 | Qwen3.7 Plus |
| LMArena Text: expert | 1466 | 1461 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1460 | 1455 | Qwen3.7 Plus |
| 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 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.7 Plus | Hy3 | 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 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1470 | 1482 | Hy3 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | 66.2% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: science | 1464 | 1457 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1464 | 1452 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1422 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1435 | 1424 | Qwen3.7 Plus |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | 1230 | Qwen3.7 Plus |
| Design Arena: UI components | 1261 | 1207 | Qwen3.7 Plus |
| Design Arena: game dev | 1262 | 1208 | Qwen3.7 Plus |
| Design Arena: data viz | 1276 | 1163 | Qwen3.7 Plus |
| Design Arena: 3D | 1239 | 1233 | Qwen3.7 Plus |
| Design Arena: all code categories | 1269 | 1227 | Qwen3.7 Plus |
| Design Arena: SVG | 1208 | 1200 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1143 | 1152 | Hy3 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
| Benchmark | Qwen3.7 Plus | Hy3 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 39.3% | 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% | 79.0% | Hy3 |
| DTBench | 84.0% | Not measured | Only Qwen3.7 Plus measured |
| LMCA | 37.6% | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text | 1454 | 1438 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1439 | 1426 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1438 | 1403 | Qwen3.7 Plus |
| LMArena Vision | 1278 | Not measured | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1458 | 1448 | Qwen3.7 Plus |
| LMArena Text: non-English | 1445 | 1426 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1509 | 1485 | Qwen3.7 Plus |
| LMArena Text: German | 1471 | 1449 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1412 | 1397 | Qwen3.7 Plus |
| LMArena Text: Korean | 1413 | 1396 | Qwen3.7 Plus |
| LMArena Text: French | 1472 | 1456 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1457 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1457 | 1432 | Qwen3.7 Plus |
| LMArena Text: Polish | 1449 | 1447 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1459 | 1436 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1454 | 1442 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1437 | 1414 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1422 | 1400 | Qwen3.7 Plus |
| 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 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Plus | Hy3 | 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
Hy3 costs less
Repository review
50K input + 3K output tokens
Hy3 costs less
Agent loop
200K input + 10K output tokens
Hy3 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 Hy3 |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | No public weights listed | Open weights |
| Released | June 3, 2026 | July 6, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $0.32 | $0.0825 |
| Output $/Mtok | $1.28 | $0.33 |
| Coding index | 33.2 | Not benchmarked |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Plus better than Hy3 for coding?
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding. Pick Hy3 for output tokens 3.9x cheaper ($0.33 vs $1.28 per million) and work measured by SciCode or LMArena Text: math, where it leads.
Which is cheaper, Qwen3.7 Plus or Hy3?
Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Hy3 costs $0.0825 and $0.33. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.7 Plus or Hy3?
Qwen3.7 Plus, with 1M tokens against 262K.
How many benchmarks is the Qwen3.7 Plus vs Hy3 comparison based on?
40 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Plus's coding index rests on 2 independent benchmarks and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.