Beam 1.0 501B A23B vs Hy4 preview
Updated October 21, 2026. 3 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B.
Pick Beam 1.0 501B A23B when output tokens cost 2.5x less.
- Shared results
- 3
- Beam 1.0 501B A23B only
- 25
- Hy4 preview only
- 21
- Like-for-like categories
- 1 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
Hy4 preview
Hy4 preview scores 61.6 against 33.8.
One benchmark behind each score
Web design
Design Arena: websites
No call
Only Beam 1.0 501B A23B has a Design Arena: websites result, 1253.
Directional only
General
Vals Index
No call
Only Hy4 preview has a Vals Index result, 53.2%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Beam 1.0 501B A23B
Beam 1.0 501B A23B $0.0008, Hy4 preview $0.0021 per turn.
List prices
At a glance
- Coding index
- Beam 1.0 501B A23B 33.8 from 1 benchmark, Hy4 preview 61.6 from 1 benchmark.
- Widest category
- Coding, 27.1 points apart on average over 3 shared benchmarks.
- Widest single gap
- LMArena WebDev: Beam 1.0 501B A23B 1437 against Hy4 preview 1631, 27.7 points apart on a 0 to 100 scale.
- Output price
- Beam 1.0 501B A23B $1.00 against Hy4 preview $2.501 per million output tokens, 2.5x apart.
- Context window
- Both take 1.05M tokens.
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 | Hy4 preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| All shared boards | 0 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | 1631 | Hy4 preview |
| Terminal-Bench 4 (Vals AI) | Not measured | 8.1% | Only Hy4 preview measured |
| Vibe Code Bench (Vals AI) | Not measured | 77.5% | Only Hy4 preview measured |
| Code migration (Vals AI) | Not measured | 47.4% | Only Hy4 preview measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Hy4 preview measured |
| IOI (Vals AI) | Not measured | 59.3% | Only Hy4 preview measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 55.1% | Only Hy4 preview measured |
| CyberBench (Vals AI) | Not measured | 65.4% | Only Hy4 preview measured |
| LMArena Text: coding | 1473 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: software and IT | 1461 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena WebDev: React | 1443 | 1653 | Hy4 preview |
| LMArena WebDev: HTML | 1436 | 1620 | Hy4 preview |
| Neither model has a result on the other 26 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 2.3% | Only Hy4 preview measured |
| Finance Agent (Vals AI) | Not measured | 55.1% | Only Hy4 preview measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.6% | Only Hy4 preview measured |
| Legal Research Bench (Vals AI) | Not measured | 45.2% | Only Hy4 preview measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 8.8% | Only Hy4 preview measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 58.1% | Only Hy4 preview measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only Hy4 preview measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Hy4 preview measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| LMArena Text: hard prompts | 1442 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: expert | 1447 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: hard prompts in English | 1451 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| ProofBench | Not measured | 75.0% | Only Hy4 preview measured |
| LMArena Text: math | 1459 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: mathematical work | 1475 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 83.8% | Only Hy4 preview measured |
| MedCode (Vals AI) | Not measured | 43.3% | Only Hy4 preview measured |
| LMArena Text: science | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: medicine and healthcare | 1376 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: legal and government | 1433 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: business and finance | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1253 | Not measured | Only Beam 1.0 501B A23B measured |
| Design Arena: game dev | 1222 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 7 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 preview | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.2% | Only Hy4 preview measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.6% | Only Hy4 preview measured |
| MedScribe (Vals AI) | Not measured | 83.6% | Only Hy4 preview measured |
| LMArena Text | 1425 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: instruction following | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: creative writing | 1390 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: English | 1436 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: non-English | 1413 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: Chinese | 1424 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: French | 1461 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: Russian | 1412 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: multi-turn | 1414 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: longer queries | 1429 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: writing and language | 1400 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: entertainment and media | 1399 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 31 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Beam 1.0 501B A23B | Hy4 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
Beam 1.0 501B A23B costs less
Repository review
50K input + 3K output tokens
Beam 1.0 501B A23B costs less
Agent loop
200K input + 10K output tokens
Beam 1.0 501B A23B 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 Hy4 preview |
|---|---|---|
| Maker | Reflection | Tencent |
| Weights | Open weights | Open weights |
| Released | October 16, 2026 | August 28, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.834 |
| Output $/Mtok | $1.00 | $2.501 |
| Coding index | 33.8 | 61.6 |
| 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 Hy4 preview for coding?
Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B. Pick Beam 1.0 501B A23B when output tokens cost 2.5x less.
Which is cheaper, Beam 1.0 501B A23B or Hy4 preview?
Beam 1.0 501B A23B costs $0.30 per million input tokens and $1.00 per million output tokens; Hy4 preview costs $0.834 and $2.501. Cost per solved task is known for neither of them.
Which has the bigger context window, Beam 1.0 501B A23B or Hy4 preview?
Neither: both take 1.05M tokens.
How many benchmarks is the Beam 1.0 501B A23B vs Hy4 preview comparison based on?
3 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 Hy4 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.