Qwen3.5 397B A17B vs Hy3 preview
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.5 397B A17B for coding: it scores 28.6 on the Vibe Coding Index against 22.4 for Hy3 preview.
Pick Hy3 preview when output tokens cost 3.9x less, or when the benchmark that matters is AA Intelligence Index, where it leads.
- Shared results
- 34
- Qwen3.5 397B A17B only
- 31
- Hy3 preview only
- 2
- Like-for-like categories
- 7 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.
Coding
Vibe Coding Index, four public coding benchmarks
Qwen3.5 397B A17B
Qwen3.5 397B A17B scores 28.6 against 22.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
Hy3 preview
Hy3 preview leads, 25.3 against 21.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.5 397B A17B has a Design Arena: websites result, 1191.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3 preview
Qwen3.5 397B A17B $0.0016, Hy3 preview $0.0005 per turn.
List prices
At a glance
- Coding index
- Qwen3.5 397B A17B 28.6 from 1 benchmark, Hy3 preview 22.4 from 1 benchmark.
- Widest category
- General, 8.0 points apart on average over 15 shared benchmarks.
- Widest single gap
- IFBench: Qwen3.5 397B A17B 78.8% against Hy3 preview 63.1%, 15.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5 397B A17B $2.34 against Hy3 preview $0.60 per million output tokens, 3.9x 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.
| Category | Qwen3.5 397B A17B | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 33 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1400 | 1357 | Qwen3.5 397B A17B |
| AA Coding Index | Not measured | 58.8 | Only Hy3 preview measured |
| SciCode | 44.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 40.9% | 34.1% | Qwen3.5 397B A17B |
| ALE-Bench | 621.9 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: coding | 1464 | 1421 | Qwen3.5 397B A17B |
| LMArena Text: software and IT | 1463 | 1423 | Qwen3.5 397B A17B |
| LMArena WebDev: React | 1388 | 1349 | Qwen3.5 397B A17B |
| LMArena WebDev: HTML | 1410 | 1356 | Qwen3.5 397B A17B |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | 25.3 | Hy3 preview |
| Epoch Capabilities Index | 146.8 | Not measured | Only Qwen3.5 397B A17B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 24.1 | Only Hy3 preview measured |
| τ²-Bench Telecom | 95.6% | 92.7% | Qwen3.5 397B A17B |
| APEX-Agents | 24.9% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.3% | 86.7% | Qwen3.5 397B A17B |
| Humanity's Last Exam (Artificial Analysis run) | 29.0% | 27.8% | Qwen3.5 397B A17B |
| GPQA Diamond (Epoch AI run) | 86.4% | Not measured | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | 18.0% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1448 | 1413 | Qwen3.5 397B A17B |
| LMArena Text: expert | 1462 | 1422 | Qwen3.5 397B A17B |
| LMArena Text: hard prompts in English | 1450 | 1416 | Qwen3.5 397B A17B |
| LMArena Vision: diagrams | 1277 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | 1292 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | 31.2% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: math | 1453 | 1424 | Qwen3.5 397B A17B |
| LMArena Text: mathematical work | 1454 | 1442 | Qwen3.5 397B A17B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| LMArena Text: science | 1457 | 1416 | Qwen3.5 397B A17B |
| LMArena Text: medicine and healthcare | 1455 | 1405 | Qwen3.5 397B A17B |
| LMArena Text: legal and government | 1441 | 1430 | Qwen3.5 397B A17B |
| LMArena Text: business and finance | 1435 | 1397 | Qwen3.5 397B A17B |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1191 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: UI components | 1163 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: game dev | 1141 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: data viz | 1175 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: 3D | 1161 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: all code categories | 1180 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: SVG | 1139 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Qwen3.5 397B A17B | Hy3 preview | Leader |
|---|---|---|---|
| IFBench | 78.8% | 63.1% | Qwen3.5 397B A17B |
| Long context reasoning (AA-LCR) | 77.3% | 64.7% | Qwen3.5 397B A17B |
| DTBench | 87.5% | Not measured | Only Qwen3.5 397B A17B measured |
| LMCA | 37.9% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text | 1437 | 1401 | Qwen3.5 397B A17B |
| LMArena Text: instruction following | 1424 | 1383 | Qwen3.5 397B A17B |
| LMArena Text: creative writing | 1402 | 1339 | Qwen3.5 397B A17B |
| LMArena Vision | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1443 | 1409 | Qwen3.5 397B A17B |
| LMArena Text: non-English | 1430 | 1390 | Qwen3.5 397B A17B |
| LMArena Text: Chinese | 1498 | 1435 | Qwen3.5 397B A17B |
| LMArena Text: German | 1445 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Japanese | 1429 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Korean | 1384 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: French | 1462 | 1425 | Qwen3.5 397B A17B |
| LMArena Text: Spanish | 1441 | 1399 | Qwen3.5 397B A17B |
| LMArena Text: Russian | 1430 | 1399 | Qwen3.5 397B A17B |
| LMArena Text: Polish | 1447 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: multi-turn | 1446 | 1411 | Qwen3.5 397B A17B |
| LMArena Text: longer queries | 1441 | 1402 | Qwen3.5 397B A17B |
| LMArena Text: writing and language | 1415 | 1370 | Qwen3.5 397B A17B |
| LMArena Text: entertainment and media | 1399 | 1352 | Qwen3.5 397B A17B |
| LMArena Vision: English | 1268 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | 1314 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | 1271 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | 1230 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | 1265 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Qwen3.5 397B A17B 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 | Qwen3.5 397B A17B | Hy3 preview | 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 preview costs less
Repository review
50K input + 3K output tokens
Hy3 preview costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Qwen3.5 397B A17B | Tencent Hy3 preview |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | February 16, 2026 | April 22, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.39 | $0.18 |
| Output $/Mtok | $2.34 | $0.60 |
| Coding index | 28.6 | 22.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5 397B A17B better than Hy3 preview for coding?
Pick Qwen3.5 397B A17B for coding: it scores 28.6 on the Vibe Coding Index against 22.4 for Hy3 preview. Pick Hy3 preview when output tokens cost 3.9x less, or when the benchmark that matters is AA Intelligence Index, where it leads.
Which is cheaper, Qwen3.5 397B A17B or Hy3 preview?
Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 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 397B A17B or Hy3 preview?
Neither: both take 262K tokens.
How many benchmarks is the Qwen3.5 397B A17B vs Hy3 preview comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Qwen3.5 397B A17B'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.