Qwen2.5 72B Instruct vs Hy3 preview
Hy3 preview leads Qwen2.5 72B Instruct on the Artificial Analysis Intelligence Index, 25.3 to 7.7, and Qwen2.5 72B Instruct costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 21, 2026; 30 benchmarks have a result for both.
Qwen2.5 72B Instruct or Hy3 preview: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen2.5 72B Instruct for output tokens 1.5x cheaper ($0.40 vs $0.60 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 30
- Qwen2.5 72B Instruct only
- 23
- Hy3 preview only
- 6
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Hy3 preview
Hy3 preview leads, 25.3 against 7.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Long documents
Listed context window
Hy3 preview
Hy3 preview takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3 preview
Qwen2.5 72B Instruct $0.0006, Hy3 preview $0.0005 per turn.
List prices
At a glance
- Coding index
- Qwen2.5 72B Instruct not benchmarked, Hy3 preview not benchmarked.
- Widest category
- Agentic work, 58.2 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Qwen2.5 72B Instruct 34.5% against Hy3 preview 92.7%, 58.2 points apart on a 0 to 100 scale.
- Output price
- Qwen2.5 72B Instruct $0.40 against Hy3 preview $0.60 per million output tokens, 1.5x apart.
- Context window
- Qwen2.5 72B Instruct takes 33K tokens, Hy3 preview 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 72B Instruct | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 14 | ||
| All shared boards | 0 | 30 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1357 | Only Hy3 preview measured |
| AA Coding Index | Not measured | 58.8 | Only Hy3 preview measured |
| LiveCodeBench (Artificial Analysis run) | 27.6% | Not measured | Only Qwen2.5 72B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 34.1% | Hy3 preview |
| WeirdML | 16.0% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: coding | 1292 | 1421 | Hy3 preview |
| LMArena Text: software and IT | 1292 | 1423 | Hy3 preview |
| LMArena WebDev: React | Not measured | 1349 | Only Hy3 preview measured |
| LMArena WebDev: HTML | Not measured | 1356 | Only Hy3 preview measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 25.3 | Hy3 preview |
| Epoch Capabilities Index | 129.0 | Not measured | Only Qwen2.5 72B Instruct measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 24.1 | Only Hy3 preview measured |
| τ²-Bench Telecom | 34.5% | 92.7% | Hy3 preview |
| METR time horizons | 35.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| BALROG | 16.2% | Not measured | Only Qwen2.5 72B Instruct measured |
| TheAgentCompany | 5.7% | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 49.1% | 86.7% | Hy3 preview |
| Humanity's Last Exam (Artificial Analysis run) | 3.6% | 27.8% | Hy3 preview |
| GPQA Diamond (Epoch AI run) | 49.1% | Not measured | Only Qwen2.5 72B Instruct measured |
| BIG-Bench Hard | 79.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: hard prompts | 1271 | 1413 | Hy3 preview |
| LMArena Text: expert | 1245 | 1422 | Hy3 preview |
| LMArena Text: hard prompts in English | 1279 | 1416 | Hy3 preview |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| AA Math Index | 14.0 | Not measured | Only Qwen2.5 72B Instruct measured |
| AIME 2025 (Artificial Analysis run) | 14.0% | Not measured | Only Qwen2.5 72B Instruct measured |
| OTIS Mock AIME | 8.1% | Not measured | Only Qwen2.5 72B Instruct measured |
| MATH level 5 | 63.2% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: math | 1283 | 1424 | Hy3 preview |
| LMArena Text: mathematical work | 1290 | 1442 | Hy3 preview |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 72.0% | Not measured | Only Qwen2.5 72B Instruct measured |
| MMLU | 85.3% | Not measured | Only Qwen2.5 72B Instruct measured |
| AI2 Reasoning Challenge | 94.5% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: science | 1275 | 1416 | Hy3 preview |
| LMArena Text: medicine and healthcare | 1258 | 1405 | Hy3 preview |
| LMArena Text: legal and government | 1288 | 1430 | Hy3 preview |
| LMArena Text: business and finance | 1253 | 1397 | Hy3 preview |
| 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 | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
| Benchmark | Qwen2.5 72B Instruct | Hy3 preview | Leader |
|---|---|---|---|
| IFBench | 36.9% | 63.1% | Hy3 preview |
| Long context reasoning (AA-LCR) | Not measured | 64.7% | Only Hy3 preview measured |
| DTBench | 62.9% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMCA | 13.4% | Not measured | Only Qwen2.5 72B Instruct measured |
| HellaSwag | 84.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| WinoGrande | 82.3% | Not measured | Only Qwen2.5 72B Instruct measured |
| PIQA | 82.6% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text | 1269 | 1401 | Hy3 preview |
| LMArena Text: instruction following | 1254 | 1383 | Hy3 preview |
| LMArena Text: creative writing | 1221 | 1339 | Hy3 preview |
| LMArena Text: English | 1283 | 1409 | Hy3 preview |
| LMArena Text: non-English | 1252 | 1390 | Hy3 preview |
| LMArena Text: Chinese | 1273 | 1435 | Hy3 preview |
| LMArena Text: German | 1234 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Japanese | 1180 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Korean | 1188 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: French | 1280 | 1425 | Hy3 preview |
| LMArena Text: Spanish | 1255 | 1399 | Hy3 preview |
| LMArena Text: Russian | 1264 | 1399 | Hy3 preview |
| LMArena Text: multi-turn | 1272 | 1411 | Hy3 preview |
| LMArena Text: longer queries | 1281 | 1402 | Hy3 preview |
| LMArena Text: writing and language | 1247 | 1370 | Hy3 preview |
| LMArena Text: entertainment and media | 1211 | 1352 | Hy3 preview |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen2.5 72B Instruct | 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 | Qwen2.5 72B Instruct | Tencent Hy3 preview |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | September 19, 2024 | April 22, 2026 |
| Context window | 33K | 262K |
| Input $/Mtok | $0.36 | $0.18 |
| Output $/Mtok | $0.40 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen2.5 72B Instruct better than Hy3 preview for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen2.5 72B Instruct for output tokens 1.5x cheaper ($0.40 vs $0.60 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, Qwen2.5 72B Instruct or Hy3 preview?
Qwen2.5 72B Instruct costs $0.36 per million input tokens and $0.40 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, Qwen2.5 72B Instruct or Hy3 preview?
Hy3 preview, with 262K tokens against 33K.
How many benchmarks is the Qwen2.5 72B Instruct vs Hy3 preview comparison based on?
30 benchmarks have a result for both models as of October 21, 2026. Qwen2.5 72B Instruct's coding index rests on 0 independent benchmarks and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.