Qwen3 32B vs Hy3
Updated October 21, 2026. 27 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 40.0 for Qwen3 32B.
Pick Qwen3 32B when output tokens cost 1.9x less.
- Shared results
- 27
- Qwen3 32B only
- 15
- Hy3 only
- 17
- 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 40.0.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only Qwen3 32B has a AA Intelligence Index result, 7.3.
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
Hy3
Hy3 takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 32B
Qwen3 32B $0.0002, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen3 32B 40.0 from 1 benchmark, Hy3 43.9 from 1 benchmark.
- Widest category
- General, 23.2 points apart on average over 13 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Qwen3 32B 0.0% against Hy3 79.0%, 79.0 points apart on a 0 to 100 scale.
- Output price
- Qwen3 32B $0.28 against Hy3 $0.528 per million output tokens, 1.9x apart.
- Context window
- Qwen3 32B takes 131K 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 32B | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 13 | ||
| All shared boards | 0 | 27 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| Aider polyglot | 40.0% | Not measured | Only Qwen3 32B measured |
| LMArena WebDev | Not measured | 1507 | Only Hy3 measured |
| LiveCodeBench (Artificial Analysis run) | 54.6% | Not measured | Only Qwen3 32B measured |
| SciCode | 36.0% | 48.6% | Hy3 |
| Terminal-Bench Hard (Artificial Analysis run) | 3.0% | Not measured | Only Qwen3 32B measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1357 | 1466 | Hy3 |
| LMArena Text: software and IT | 1366 | 1463 | Hy3 |
| 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 28 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.3 | Not measured | Only Qwen3 32B measured |
| Epoch Capabilities Index | 138.4 | Not measured | Only Qwen3 32B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 29.8% | Not measured | Only Qwen3 32B 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 32B | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 66.8% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 7.4% | 33.5% | Hy3 |
| GPQA Diamond (Epoch AI run) | 65.7% | Not measured | Only Qwen3 32B measured |
| LMArena Text: hard prompts | 1334 | 1447 | Hy3 |
| LMArena Text: expert | 1362 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1350 | 1455 | Hy3 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| AA Math Index | 73.0 | Not measured | Only Qwen3 32B measured |
| AIME 2025 (Artificial Analysis run) | 73.0% | Not measured | Only Qwen3 32B measured |
| OTIS Mock AIME | 66.9% | Not measured | Only Qwen3 32B measured |
| LMArena Text: math | 1399 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1420 | 1482 | Hy3 |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 79.8% | Not measured | Only Qwen3 32B measured |
| LMArena Text: science | 1372 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1368 | 1452 | Hy3 |
| LMArena Text: legal and government | 1324 | 1422 | Hy3 |
| LMArena Text: business and finance | 1318 | 1424 | Hy3 |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3 32B | 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 index013
| Benchmark | Qwen3 32B | Hy3 | Leader |
|---|---|---|---|
| IFBench | 36.3% | Not measured | Only Qwen3 32B measured |
| Long context reasoning (AA-LCR) | 0.0% | 79.0% | Hy3 |
| DTBench | 67.5% | Not measured | Only Qwen3 32B measured |
| LMCA | 17.3% | Not measured | Only Qwen3 32B measured |
| Fiction.LiveBench | 74.2% | Not measured | Only Qwen3 32B measured |
| LMArena Text | 1340 | 1438 | Hy3 |
| LMArena Text: instruction following | 1305 | 1426 | Hy3 |
| LMArena Text: creative writing | 1297 | 1403 | Hy3 |
| LMArena Text: English | 1359 | 1448 | Hy3 |
| LMArena Text: non-English | 1317 | 1426 | Hy3 |
| LMArena Text: Chinese | 1357 | 1485 | Hy3 |
| LMArena Text: German | 1341 | 1449 | Hy3 |
| LMArena Text: Japanese | Not measured | 1397 | Only Hy3 measured |
| LMArena Text: Korean | Not measured | 1396 | Only Hy3 measured |
| LMArena Text: French | Not measured | 1456 | Only Hy3 measured |
| LMArena Text: Spanish | Not measured | 1457 | Only Hy3 measured |
| LMArena Text: Russian | 1311 | 1432 | Hy3 |
| LMArena Text: Polish | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: multi-turn | 1331 | 1436 | Hy3 |
| LMArena Text: longer queries | 1327 | 1442 | Hy3 |
| LMArena Text: writing and language | 1298 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1279 | 1400 | Hy3 |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 32B | 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
Qwen3 32B costs less
Repository review
50K input + 3K output tokens
Qwen3 32B costs less
Agent loop
200K input + 10K output tokens
Qwen3 32B 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 32B | Tencent Hy3 |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | April 28, 2025 | July 6, 2026 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.08 | $0.132 |
| Output $/Mtok | $0.28 | $0.528 |
| Coding index | 40.0 | 43.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 32B better than Hy3 for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 40.0 for Qwen3 32B. Pick Qwen3 32B when output tokens cost 1.9x less.
Which is cheaper, Qwen3 32B or Hy3?
Qwen3 32B costs $0.08 per million input tokens and $0.28 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 32B or Hy3?
Hy3, with 262K tokens against 131K.
How many benchmarks is the Qwen3 32B vs Hy3 comparison based on?
27 benchmarks have a result for both models as of October 21, 2026. Qwen3 32B'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.