Qwen2.5 Coder 32B Instruct vs Hy3
Updated October 21, 2026. 24 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 30.5 for Qwen2.5 Coder 32B Instruct, though on 1 benchmark against 2.
Qwen2.5 Coder 32B Instruct is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 24
- Qwen2.5 Coder 32B Instruct only
- 11
- Hy3 only
- 20
- 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 30.5.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Qwen2.5 Coder 32B Instruct has a AA Intelligence Index result, 6.7.
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
Hy3
Hy3 takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Qwen2.5 Coder 32B Instruct $0.0012, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen2.5 Coder 32B Instruct 30.5 from 2 benchmarks, Hy3 43.9 from 1 benchmark.
- Widest category
- Math, 38.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Qwen2.5 Coder 32B Instruct 41.7% against Hy3 89.7%, 48.0 points apart on a 0 to 100 scale.
- Output price
- Qwen2.5 Coder 32B Instruct $1.00 against Hy3 $0.528 per million output tokens, 1.9x apart.
- Context window
- Qwen2.5 Coder 32B Instruct takes 33K 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 | Qwen2.5 Coder 32B Instruct | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 11 | ||
| All shared boards | 0 | 24 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| Aider polyglot | 16.4% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| SWE-bench Verified | 47.0% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena WebDev | Not measured | 1507 | Only Hy3 measured |
| LiveCodeBench (Artificial Analysis run) | 29.5% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| SciCode | Not measured | 48.6% | Only Hy3 measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1276 | 1466 | Hy3 |
| LMArena Text: software and IT | 1261 | 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 | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| Epoch Capabilities Index | 119.5 | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 41.7% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 3.5% | 33.5% | Hy3 |
| LMArena Text: hard prompts | 1251 | 1447 | Hy3 |
| LMArena Text: expert | 1221 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1269 | 1455 | Hy3 |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| GSM8K | 93.0% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: math | 1251 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1243 | 1482 | Hy3 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 63.5% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| MMLU | 79.1% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| AI2 Reasoning Challenge | 70.5% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: science | 1221 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1187 | 1452 | Hy3 |
| LMArena Text: legal and government | 1257 | 1422 | Hy3 |
| LMArena Text: business and finance | 1224 | 1424 | Hy3 |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen2.5 Coder 32B Instruct | 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 index011
| Benchmark | Qwen2.5 Coder 32B Instruct | Hy3 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 79.0% | Only Hy3 measured |
| HellaSwag | 83.0% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| WinoGrande | 80.8% | Not measured | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text | 1230 | 1438 | Hy3 |
| LMArena Text: instruction following | 1223 | 1426 | Hy3 |
| LMArena Text: creative writing | 1174 | 1403 | Hy3 |
| LMArena Text: English | 1248 | 1448 | Hy3 |
| LMArena Text: non-English | 1205 | 1426 | Hy3 |
| LMArena Text: Chinese | 1222 | 1485 | Hy3 |
| LMArena Text: German | Not measured | 1449 | Only Hy3 measured |
| 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 | 1228 | 1432 | Hy3 |
| LMArena Text: Polish | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: multi-turn | 1222 | 1436 | Hy3 |
| LMArena Text: longer queries | 1251 | 1442 | Hy3 |
| LMArena Text: writing and language | 1191 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1150 | 1400 | Hy3 |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen2.5 Coder 32B Instruct | 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 | Qwen2.5 Coder 32B Instruct | Tencent Hy3 |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | November 11, 2024 | July 6, 2026 |
| Context window | 33K | 262K |
| Input $/Mtok | $0.66 | $0.132 |
| Output $/Mtok | $1.00 | $0.528 |
| Coding index | 30.5 | 43.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen2.5 Coder 32B Instruct better than Hy3 for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 30.5 for Qwen2.5 Coder 32B Instruct, though on 1 benchmark against 2. Qwen2.5 Coder 32B Instruct is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Qwen2.5 Coder 32B Instruct or Hy3?
Qwen2.5 Coder 32B Instruct costs $0.66 per million input tokens and $1.00 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, Qwen2.5 Coder 32B Instruct or Hy3?
Hy3, with 262K tokens against 33K.
How many benchmarks is the Qwen2.5 Coder 32B Instruct vs Hy3 comparison based on?
24 benchmarks have a result for both models as of October 21, 2026. Qwen2.5 Coder 32B Instruct'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.