Qwen3.5-122B-A10B vs Hy3
Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.
Qwen3.5-122B-A10B is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 35
- Qwen3.5-122B-A10B only
- 16
- Hy3 only
- 9
- 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.
Coding
Vibe Coding Index, four public coding benchmarks
Hy3
Hy3 scores 43.9 against 22.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only Qwen3.5-122B-A10B has a AA Intelligence Index result, 17.7.
Directional only
Web design
Design Arena: websites
No call
Only Hy3 has a Design Arena: websites result, 1230.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Qwen3.5-122B-A10B $0.0013, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen3.5-122B-A10B 22.9 from 1 benchmark, Hy3 43.9 from 1 benchmark.
- Widest category
- Coding, 14.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Qwen3.5-122B-A10B 1353 against Hy3 1511, 26.4 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5-122B-A10B $2.08 against Hy3 $0.528 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 | Qwen3.5-122B-A10B | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 35 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1361 | 1507 | Hy3 |
| AA Coding Index | 43.3 | Not measured | Only Qwen3.5-122B-A10B measured |
| SciCode | 39.7% | 48.6% | Hy3 |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only Qwen3.5-122B-A10B measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1436 | 1466 | Hy3 |
| LMArena Text: software and IT | 1436 | 1463 | Hy3 |
| LMArena WebDev: React | 1353 | 1511 | Hy3 |
| LMArena WebDev: HTML | 1351 | 1487 | Hy3 |
| Neither model has a result on the other 29 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 17.7 | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 93.6% | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 85.7% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 25.2% | 33.5% | Hy3 |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: hard prompts | 1421 | 1447 | Hy3 |
| LMArena Text: expert | 1431 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1431 | 1455 | Hy3 |
| LMArena Vision: diagrams | 1249 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: homework | 1261 | Not measured | Only Qwen3.5-122B-A10B 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 | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: math | 1431 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1431 | 1482 | Hy3 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: science | 1432 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1423 | 1452 | Hy3 |
| LMArena Text: legal and government | 1422 | 1422 | Hy3 |
| LMArena Text: business and finance | 1414 | 1424 | Hy3 |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only Hy3 measured |
| Design Arena: UI components | Not measured | 1205 | Only Hy3 measured |
| Design Arena: game dev | Not measured | 1208 | Only Hy3 measured |
| Design Arena: data viz | Not measured | 1163 | Only Hy3 measured |
| Design Arena: 3D | Not measured | 1233 | Only Hy3 measured |
| Design Arena: all code categories | Not measured | 1227 | Only Hy3 measured |
| Design Arena: SVG | Not measured | 1199 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1157 | Only Hy3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Qwen3.5-122B-A10B | Hy3 | Leader |
|---|---|---|---|
| IFBench | 75.7% | Not measured | Only Qwen3.5-122B-A10B measured |
| Long context reasoning (AA-LCR) | 76.3% | 79.0% | Hy3 |
| DTBench | 84.3% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMCA | 32.2% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text | 1417 | 1438 | Hy3 |
| LMArena Text: instruction following | 1399 | 1426 | Hy3 |
| LMArena Text: creative writing | 1368 | 1403 | Hy3 |
| LMArena Vision | 1244 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: English | 1428 | 1448 | Hy3 |
| LMArena Text: non-English | 1401 | 1426 | Hy3 |
| LMArena Text: Chinese | 1463 | 1485 | Hy3 |
| LMArena Text: German | 1425 | 1449 | Hy3 |
| LMArena Text: Japanese | 1367 | 1397 | Hy3 |
| LMArena Text: Korean | 1353 | 1396 | Hy3 |
| LMArena Text: French | 1443 | 1456 | Hy3 |
| LMArena Text: Spanish | 1425 | 1457 | Hy3 |
| LMArena Text: Russian | 1400 | 1432 | Hy3 |
| LMArena Text: Polish | 1398 | 1447 | Hy3 |
| LMArena Text: multi-turn | 1416 | 1436 | Hy3 |
| LMArena Text: longer queries | 1410 | 1442 | Hy3 |
| LMArena Text: writing and language | 1387 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1366 | 1400 | Hy3 |
| LMArena Vision: English | 1249 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: Chinese | 1301 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: reading text | 1251 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: humor | 1243 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: creative writing | 1220 | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | 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 | Qwen3.5-122B-A10B | Tencent Hy3 |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | February 25, 2026 | July 6, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.26 | $0.132 |
| Output $/Mtok | $2.08 | $0.528 |
| Coding index | 22.9 | 43.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5-122B-A10B better than Hy3 for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Qwen3.5-122B-A10B is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Qwen3.5-122B-A10B or Hy3?
Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5-122B-A10B or Hy3?
Neither: both take 262K tokens.
How many benchmarks is the Qwen3.5-122B-A10B vs Hy3 comparison based on?
35 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.