Qwen3.5-122B-A10B vs Hy4 preview
Updated October 21, 2026. 3 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.
Pick Qwen3.5-122B-A10B when output tokens cost 1.2x less.
- Shared results
- 3
- Qwen3.5-122B-A10B only
- 48
- Hy4 preview only
- 21
- Like-for-like categories
- 1 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
Hy4 preview
Hy4 preview scores 61.6 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
General
Vals Index
No call
Only Hy4 preview has a Vals Index result, 53.2%.
Directional only
Long documents
Listed context window
Hy4 preview
Hy4 preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B $0.0013, Hy4 preview $0.0021 per turn.
List prices
At a glance
- Coding index
- Qwen3.5-122B-A10B 22.9 from 1 benchmark, Hy4 preview 61.6 from 1 benchmark.
- Widest category
- Coding, 40.4 points apart on average over 3 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Qwen3.5-122B-A10B 1351 against Hy4 preview 1620, 41.4 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5-122B-A10B $2.08 against Hy4 preview $2.501 per million output tokens, 1.2x apart.
- Context window
- Qwen3.5-122B-A10B takes 262K tokens, Hy4 preview 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 | Qwen3.5-122B-A10B | Bars | Hy4 preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| All shared boards | 0 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1361 | 1631 | Hy4 preview |
| AA Coding Index | 43.3 | Not measured | Only Qwen3.5-122B-A10B measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 8.1% | Only Hy4 preview measured |
| Vibe Code Bench (Vals AI) | Not measured | 77.5% | Only Hy4 preview measured |
| Code migration (Vals AI) | Not measured | 47.4% | Only Hy4 preview measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Hy4 preview measured |
| IOI (Vals AI) | Not measured | 59.3% | Only Hy4 preview measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 55.1% | Only Hy4 preview measured |
| CyberBench (Vals AI) | Not measured | 65.4% | Only Hy4 preview measured |
| SciCode | 39.7% | Not measured | Only Qwen3.5-122B-A10B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: coding | 1436 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: software and IT | 1436 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena WebDev: React | 1353 | 1653 | Hy4 preview |
| LMArena WebDev: HTML | 1351 | 1620 | Hy4 preview |
| Neither model has a result on the other 23 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | 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 index9 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 2.3% | Only Hy4 preview measured |
| Finance Agent (Vals AI) | Not measured | 55.1% | Only Hy4 preview measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.6% | Only Hy4 preview measured |
| Legal Research Bench (Vals AI) | Not measured | 45.2% | Only Hy4 preview measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 8.8% | Only Hy4 preview measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 58.1% | Only Hy4 preview measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only Hy4 preview measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Hy4 preview measured |
| τ²-Bench Telecom | 93.6% | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 85.7% | Not measured | Only Qwen3.5-122B-A10B measured |
| Humanity's Last Exam (Artificial Analysis run) | 25.2% | Not measured | Only Qwen3.5-122B-A10B measured |
| Mystery game puzzles | 17.0% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: hard prompts | 1421 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: expert | 1431 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: hard prompts in English | 1431 | Not measured | Only Qwen3.5-122B-A10B measured |
| 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 | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| ProofBench | Not measured | 75.0% | Only Hy4 preview measured |
| LMArena Text: math | 1431 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: mathematical work | 1431 | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 83.8% | Only Hy4 preview measured |
| MedCode (Vals AI) | Not measured | 43.3% | Only Hy4 preview measured |
| LMArena Text: science | 1432 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: medicine and healthcare | 1423 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: legal and government | 1422 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: business and finance | 1414 | Not measured | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 11 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 preview | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.2% | Only Hy4 preview measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.6% | Only Hy4 preview measured |
| MedScribe (Vals AI) | Not measured | 83.6% | Only Hy4 preview measured |
| IFBench | 75.7% | Not measured | Only Qwen3.5-122B-A10B measured |
| Long context reasoning (AA-LCR) | 76.3% | Not measured | Only Qwen3.5-122B-A10B measured |
| 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 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: instruction following | 1399 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: creative writing | 1368 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Vision | 1244 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: English | 1428 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: non-English | 1401 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Chinese | 1463 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: German | 1425 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Japanese | 1367 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Korean | 1353 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: French | 1443 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Spanish | 1425 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Russian | 1400 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Polish | 1398 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: multi-turn | 1416 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: longer queries | 1410 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: writing and language | 1387 | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: entertainment and media | 1366 | Not measured | Only Qwen3.5-122B-A10B measured |
| 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 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Hy4 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
Qwen3.5-122B-A10B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-122B-A10B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-122B-A10B 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 Hy4 preview |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | February 25, 2026 | August 28, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.26 | $0.834 |
| Output $/Mtok | $2.08 | $2.501 |
| Coding index | 22.9 | 61.6 |
| 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 Hy4 preview for coding?
Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B when output tokens cost 1.2x less.
Which is cheaper, Qwen3.5-122B-A10B or Hy4 preview?
Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Hy4 preview costs $0.834 and $2.501. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5-122B-A10B or Hy4 preview?
Hy4 preview, with 1.05M tokens against 262K.
How many benchmarks is the Qwen3.5-122B-A10B vs Hy4 preview comparison based on?
3 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 Hy4 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.