Beam 1.0 501B A23B vs Hy3
Updated October 21, 2026. 28 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 33.8 for Beam 1.0 501B A23B.
Pick Beam 1.0 501B A23B when the context window is larger, 1.05M against 262K tokens, or when what matters is LMArena Text: coding or LMArena Text: legal and government, where it leads.
- Shared results
- 28
- Beam 1.0 501B A23B only
- 0
- Hy3 only
- 16
- Like-for-like categories
- 6 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 33.8.
One benchmark behind each score
Web design
Design Arena: websites
Beam 1.0 501B A23B
Beam 1.0 501B A23B leads, 1253 against 1230.
Same board, both measured
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Beam 1.0 501B A23B $0.0008, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Beam 1.0 501B A23B 33.8 from 1 benchmark, Hy3 43.9 from 1 benchmark.
- Widest category
- Coding, 6.3 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena Text: medicine and healthcare: Beam 1.0 501B A23B 1376 against Hy3 1452, 12.6 points apart on a 0 to 100 scale.
- Output price
- Beam 1.0 501B A23B $1.00 against Hy3 $0.528 per million output tokens, 1.9x apart.
- Context window
- Beam 1.0 501B A23B takes 1.05M 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 | Beam 1.0 501B A23B | Bars | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 4 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| Web design | 2 | 0 | ||
| General | 2 | 10 | ||
| All shared boards | 7 | 21 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index14
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | 1507 | Hy3 |
| SciCode | Not measured | 48.6% | Only Hy3 measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1473 | 1466 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1461 | 1463 | Hy3 |
| LMArena WebDev: React | 1443 | 1511 | Hy3 |
| LMArena WebDev: HTML | 1436 | 1487 | Hy3 |
| Neither model has a result on the other 31 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.7% | Only Hy3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 33.5% | Only Hy3 measured |
| LMArena Text: hard prompts | 1442 | 1447 | Hy3 |
| LMArena Text: expert | 1447 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1451 | 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 | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: math | 1459 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1475 | 1482 | Hy3 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: science | 1430 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1376 | 1452 | Hy3 |
| LMArena Text: legal and government | 1433 | 1422 | Beam 1.0 501B A23B |
| LMArena Text: business and finance | 1430 | 1424 | Beam 1.0 501B A23B |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1253 | 1230 | Beam 1.0 501B A23B |
| Design Arena: UI components | Not measured | 1205 | Only Hy3 measured |
| Design Arena: game dev | 1222 | 1208 | Beam 1.0 501B A23B |
| 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 index210
| Benchmark | Beam 1.0 501B A23B | Hy3 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 79.0% | Only Hy3 measured |
| LMArena Text | 1425 | 1438 | Hy3 |
| LMArena Text: instruction following | 1430 | 1426 | Beam 1.0 501B A23B |
| LMArena Text: creative writing | 1390 | 1403 | Hy3 |
| LMArena Text: English | 1436 | 1448 | Hy3 |
| LMArena Text: non-English | 1413 | 1426 | Hy3 |
| LMArena Text: Chinese | 1424 | 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 | 1461 | 1456 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | Not measured | 1457 | Only Hy3 measured |
| LMArena Text: Russian | 1412 | 1432 | Hy3 |
| LMArena Text: Polish | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: multi-turn | 1414 | 1436 | Hy3 |
| LMArena Text: longer queries | 1429 | 1442 | Hy3 |
| LMArena Text: writing and language | 1400 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1399 | 1400 | 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 | Beam 1.0 501B A23B | 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 | Reflection Beam 1.0 501B A23B | Tencent Hy3 |
|---|---|---|
| Maker | Reflection | Tencent |
| Weights | Open weights | Open weights |
| Released | October 16, 2026 | July 6, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.30 | $0.132 |
| Output $/Mtok | $1.00 | $0.528 |
| Coding index | 33.8 | 43.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Beam 1.0 501B A23B better than Hy3 for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B. Pick Beam 1.0 501B A23B when the context window is larger, 1.05M against 262K tokens, or when what matters is LMArena Text: coding or LMArena Text: legal and government, where it leads.
Which is cheaper, Beam 1.0 501B A23B or Hy3?
Beam 1.0 501B A23B costs $0.30 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, Beam 1.0 501B A23B or Hy3?
Beam 1.0 501B A23B, with 1.05M tokens against 262K.
How many benchmarks is the Beam 1.0 501B A23B vs Hy3 comparison based on?
28 benchmarks have a result for both models as of October 21, 2026. Beam 1.0 501B A23B'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.