Beam 1.0 501B A23B vs Solar Pro 4
Solar Pro 4 costs 1.8x less per output token than Beam 1.0 501B A23B ($0.60 vs $1.10 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
Beam 1.0 501B A23B or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Beam 1.0 501B A23B for a larger context window (1.05M against 524K tokens).
- Shared results
- 28
- Beam 1.0 501B A23B only
- 0
- Solar Pro 4 only
- 17
- 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
Beam 1.0 501B A23B
Beam 1.0 501B A23B leads, 1250 against 1176.
Same board, both measured
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Beam 1.0 501B A23B $0.0009, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Beam 1.0 501B A23B not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Coding, 8.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Beam 1.0 501B A23B 1443 against Solar Pro 4 1363, 13.2 points apart on a 0 to 100 scale.
- Output price
- Beam 1.0 501B A23B $1.10 against Solar Pro 4 $0.60 per million output tokens, 1.8x apart.
- Context window
- Beam 1.0 501B A23B takes 1.05M 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 | Beam 1.0 501B A23B | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 2 | 0 | ||
| General | 12 | 0 | ||
| All shared boards | 28 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | 1371 | Beam 1.0 501B A23B |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| SciCode | Not measured | 48.0% | Only Solar Pro 4 measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1473 | 1438 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1461 | 1431 | Beam 1.0 501B A23B |
| LMArena WebDev: React | 1443 | 1363 | Beam 1.0 501B A23B |
| LMArena WebDev: HTML | 1436 | 1371 | Beam 1.0 501B A23B |
| 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 | Beam 1.0 501B A23B | 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 | Beam 1.0 501B A23B | 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 index30
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.1% | Only Solar Pro 4 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 29.8% | Only Solar Pro 4 measured |
| LMArena Text: hard prompts | 1442 | 1400 | Beam 1.0 501B A23B |
| LMArena Text: expert | 1447 | 1428 | Beam 1.0 501B A23B |
| LMArena Text: hard prompts in English | 1451 | 1427 | Beam 1.0 501B A23B |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: math | 1459 | 1421 | Beam 1.0 501B A23B |
| LMArena Text: mathematical work | 1475 | 1427 | Beam 1.0 501B A23B |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: science | 1430 | 1404 | Beam 1.0 501B A23B |
| LMArena Text: medicine and healthcare | 1376 | 1374 | Beam 1.0 501B A23B |
| LMArena Text: legal and government | 1433 | 1383 | Beam 1.0 501B A23B |
| LMArena Text: business and finance | 1430 | 1381 | Beam 1.0 501B A23B |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1250 | 1176 | Beam 1.0 501B A23B |
| Design Arena: UI components | Not measured | 1147 | Only Solar Pro 4 measured |
| Design Arena: game dev | 1224 | 1169 | Beam 1.0 501B A23B |
| Design Arena: data viz | Not measured | 1177 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1182 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Beam 1.0 501B A23B | Solar Pro 4 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 70.7% | Only Solar Pro 4 measured |
| LMArena Text | 1425 | 1388 | Beam 1.0 501B A23B |
| LMArena Text: instruction following | 1430 | 1375 | Beam 1.0 501B A23B |
| LMArena Text: creative writing | 1390 | 1317 | Beam 1.0 501B A23B |
| LMArena Text: English | 1436 | 1414 | Beam 1.0 501B A23B |
| LMArena Text: non-English | 1413 | 1363 | Beam 1.0 501B A23B |
| LMArena Text: Chinese | 1424 | 1422 | Beam 1.0 501B A23B |
| LMArena Text: German | Not measured | 1358 | Only Solar Pro 4 measured |
| LMArena Text: Japanese | Not measured | 1320 | Only Solar Pro 4 measured |
| LMArena Text: Korean | Not measured | 1383 | Only Solar Pro 4 measured |
| LMArena Text: French | 1461 | 1400 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | Not measured | 1409 | Only Solar Pro 4 measured |
| LMArena Text: Russian | 1412 | 1357 | Beam 1.0 501B A23B |
| LMArena Text: Polish | Not measured | 1304 | Only Solar Pro 4 measured |
| LMArena Text: multi-turn | 1414 | 1385 | Beam 1.0 501B A23B |
| LMArena Text: longer queries | 1429 | 1382 | Beam 1.0 501B A23B |
| LMArena Text: writing and language | 1400 | 1344 | Beam 1.0 501B A23B |
| LMArena Text: entertainment and media | 1399 | 1332 | Beam 1.0 501B A23B |
| 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 | 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
Solar Pro 4 costs less
Repository review
50K input + 3K output tokens
Solar Pro 4 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 4 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 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Reflection | Upstage |
| Weights | Open weights | No public weights listed |
| Released | October 16, 2026 | August 10, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.35 | $0.15 |
| Output $/Mtok | $1.10 | $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 Beam 1.0 501B A23B better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for a larger context window (1.05M against 524K tokens).
Which is cheaper, Beam 1.0 501B A23B or Solar Pro 4?
Beam 1.0 501B A23B costs $0.35 per million input tokens and $1.10 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, Beam 1.0 501B A23B or Solar Pro 4?
Beam 1.0 501B A23B, with 1.05M tokens against 524K.
How many benchmarks is the Beam 1.0 501B A23B vs Solar Pro 4 comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. Beam 1.0 501B A23B'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.