Hy3 vs Solar Pro 4
Hy3 and Solar Pro 4 cost about the same per output token ($0.528 vs $0.60 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
Hy3 or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Hy3 for output tokens 1.1x cheaper ($0.528 vs $0.60 per million) and work measured by Design Arena: data viz, where it leads.
- Shared results
- 42
- Hy3 only
- 2
- Solar Pro 4 only
- 3
- Like-for-like categories
- 6 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
No call
Only Solar Pro 4 has a AA Intelligence Index result, 28.2.
Directional only
Web design
Design Arena: websites
Hy3
Hy3 leads, 1230 against 1176.
Same board, both measured
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Hy3 $0.0004, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Hy3 not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Coding, 13.7 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Hy3 1511 against Solar Pro 4 1363, 24.6 points apart on a 0 to 100 scale.
- Output price
- Hy3 $0.528 against Solar Pro 4 $0.60 per million output tokens, 1.1x apart.
- Context window
- Hy3 takes 262K tokens, Solar Pro 4 524K.
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 | Hy3 | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 1 | ||
| General | 18 | 0 | ||
| All shared boards | 41 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1507 | 1371 | Hy3 |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| SciCode | 48.6% | 48.0% | Hy3 |
| ALE-Bench | 838.6 | 179.3 | Hy3 |
| LMArena Text: coding | 1466 | 1438 | Hy3 |
| LMArena Text: software and IT | 1463 | 1431 | Hy3 |
| LMArena WebDev: React | 1511 | 1363 | Hy3 |
| LMArena WebDev: HTML | 1487 | 1371 | Hy3 |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 28.2 | Only Solar Pro 4 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 | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.7% | 89.1% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 33.5% | 29.8% | Hy3 |
| LMArena Text: hard prompts | 1447 | 1400 | Hy3 |
| LMArena Text: expert | 1461 | 1428 | Hy3 |
| LMArena Text: hard prompts in English | 1455 | 1427 | Hy3 |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: math | 1473 | 1421 | Hy3 |
| LMArena Text: mathematical work | 1482 | 1427 | Hy3 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: science | 1457 | 1404 | Hy3 |
| LMArena Text: medicine and healthcare | 1452 | 1374 | Hy3 |
| LMArena Text: legal and government | 1422 | 1383 | Hy3 |
| LMArena Text: business and finance | 1424 | 1381 | Hy3 |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1176 | Hy3 |
| Design Arena: UI components | 1204 | 1147 | Hy3 |
| Design Arena: game dev | 1208 | 1169 | Hy3 |
| Design Arena: data viz | 1164 | 1177 | Solar Pro 4 |
| Design Arena: 3D | 1232 | 1178 | Hy3 |
| Design Arena: all code categories | 1227 | 1182 | Hy3 |
| Design Arena: SVG | 1200 | Not measured | Only Hy3 measured |
| Design Arena: ASCII art | 1152 | Not measured | 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 index180
| Benchmark | Hy3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 79.0% | 70.7% | Hy3 |
| LMArena Text | 1438 | 1388 | Hy3 |
| LMArena Text: instruction following | 1426 | 1375 | Hy3 |
| LMArena Text: creative writing | 1403 | 1317 | Hy3 |
| LMArena Text: English | 1448 | 1414 | Hy3 |
| LMArena Text: non-English | 1426 | 1363 | Hy3 |
| LMArena Text: Chinese | 1485 | 1422 | Hy3 |
| LMArena Text: German | 1449 | 1358 | Hy3 |
| LMArena Text: Japanese | 1397 | 1320 | Hy3 |
| LMArena Text: Korean | 1396 | 1383 | Hy3 |
| LMArena Text: French | 1456 | 1400 | Hy3 |
| LMArena Text: Spanish | 1457 | 1409 | Hy3 |
| LMArena Text: Russian | 1432 | 1357 | Hy3 |
| LMArena Text: Polish | 1447 | 1304 | Hy3 |
| LMArena Text: multi-turn | 1436 | 1385 | Hy3 |
| LMArena Text: longer queries | 1442 | 1382 | Hy3 |
| LMArena Text: writing and language | 1414 | 1344 | Hy3 |
| LMArena Text: entertainment and media | 1400 | 1332 | Hy3 |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy3 | Solar Pro 4 | 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 | Tencent Hy3 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Tencent | Upstage |
| Weights | Open weights | No public weights listed |
| Released | July 6, 2026 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.132 | $0.15 |
| Output $/Mtok | $0.528 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy3 better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Hy3 for output tokens 1.1x cheaper ($0.528 vs $0.60 per million) and work measured by Design Arena: data viz, where it leads.
Which is cheaper, Hy3 or Solar Pro 4?
Hy3 costs $0.132 per million input tokens and $0.528 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Hy3 or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Hy3 vs Solar Pro 4 comparison based on?
42 benchmarks have a result for both models as of October 22, 2026. Hy3's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.