Grok 4.7 vs Beam 1.0 501B A23B
Beam 1.0 501B A23B costs 5.0x less per output token than Grok 4.7 ($1.20 vs $6.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
Grok 4.7 or Beam 1.0 501B A23B: which to pick
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.
Pick Beam 1.0 501B A23B for output tokens 5.0x cheaper ($1.20 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
- Shared results
- 28
- Grok 4.7 only
- 74
- Beam 1.0 501B A23B only
- 0
- 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
Only Grok 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Grok 4.7 has a AA Intelligence Index result, 46.4.
Directional only
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1254 against 1245.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Beam 1.0 501B A23B
Grok 4.7 $0.0050, Beam 1.0 501B A23B $0.0010 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Beam 1.0 501B A23B not benchmarked.
- Widest category
- Coding, 19.1 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: Grok 4.7 1637 against Beam 1.0 501B A23B 1437, 28.6 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Beam 1.0 501B A23B $1.20 per million output tokens, 5.0x apart.
- Context window
- Grok 4.7 takes 500K tokens, Beam 1.0 501B A23B 1.05M.
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 | Grok 4.7 | Bars | Beam 1.0 501B A23B | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| Web design | 2 | 0 | ||
| General | 1 | 11 | ||
| All shared boards | 7 | 21 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1437 | Grok 4.7 |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | Not measured | Only Grok 4.7 measured |
| Code migration (Vals AI) | 44.8% | Not measured | Only Grok 4.7 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | Not measured | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | Not measured | Only Grok 4.7 measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1432 | 1473 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1421 | 1461 | Beam 1.0 501B A23B |
| LMArena WebDev: React | 1663 | 1443 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1436 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | Not measured | Only Grok 4.7 measured |
| Epoch Capabilities Index | 154.4 | Not measured | Only Grok 4.7 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LiveBench research | 86.4% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 60.0% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 50.1% | Not measured | Only Grok 4.7 measured |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | Not measured | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | 34.2% | Not measured | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | 47.1% | Not measured | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Grok 4.7 measured |
| Vals Science Index | 34.8% | Not measured | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | Not measured | Only Grok 4.7 measured |
| GPQA Diamond (Epoch AI run) | 92.7% | Not measured | Only Grok 4.7 measured |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Grok 4.7 measured |
| Mystery game puzzles | 29.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1415 | 1442 | Beam 1.0 501B A23B |
| LMArena Text: expert | 1439 | 1447 | Beam 1.0 501B A23B |
| LMArena Text: hard prompts in English | 1427 | 1451 | Beam 1.0 501B A23B |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | Not measured | Only Grok 4.7 measured |
| Humanity's Last Exam (Scale run) | 23.4% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tiers 1 to 3 | 53.0% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Grok 4.7 measured |
| ProofBench | 26.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: math | 1414 | 1459 | Beam 1.0 501B A23B |
| LMArena Text: mathematical work | 1435 | 1475 | Beam 1.0 501B A23B |
| MathArena | 41.1% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 84.4% | Not measured | Only Grok 4.7 measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1430 | Beam 1.0 501B A23B |
| LMArena Text: medicine and healthcare | 1395 | 1376 | Grok 4.7 |
| LMArena Text: legal and government | 1423 | 1433 | Beam 1.0 501B A23B |
| LMArena Text: business and finance | 1389 | 1430 | Beam 1.0 501B A23B |
| PRBench Legal | 47.6% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Design Arena: websites | 1254 | 1245 | Grok 4.7 |
| Design Arena: UI components | 1276 | Not measured | Only Grok 4.7 measured |
| Design Arena: game dev | 1314 | 1220 | Grok 4.7 |
| Design Arena: data viz | 1238 | Not measured | Only Grok 4.7 measured |
| Design Arena: 3D | 1274 | Not measured | Only Grok 4.7 measured |
| Design Arena: all code categories | 1272 | Not measured | Only Grok 4.7 measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 40.8% | Not measured | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 89.4% | Not measured | Only Grok 4.7 measured |
| Long context reasoning (AA-LCR) | 80.0% | Not measured | Only Grok 4.7 measured |
| DTBench | 96.0% | Not measured | Only Grok 4.7 measured |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1425 | Beam 1.0 501B A23B |
| LMArena Text: instruction following | 1406 | 1430 | Beam 1.0 501B A23B |
| LMArena Text: creative writing | 1381 | 1390 | Beam 1.0 501B A23B |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1436 | Beam 1.0 501B A23B |
| LMArena Text: non-English | 1386 | 1413 | Beam 1.0 501B A23B |
| LMArena Text: Chinese | 1449 | 1424 | Grok 4.7 |
| LMArena Text: German | 1366 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Japanese | 1359 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1383 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1431 | 1461 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1399 | 1412 | Beam 1.0 501B A23B |
| LMArena Text: Polish | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1394 | 1414 | Beam 1.0 501B A23B |
| LMArena Text: longer queries | 1416 | 1429 | Beam 1.0 501B A23B |
| LMArena Text: writing and language | 1394 | 1400 | Beam 1.0 501B A23B |
| LMArena Text: entertainment and media | 1376 | 1399 | Beam 1.0 501B A23B |
| LMArena Vision: English | 1229 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1250 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1241 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1217 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Beam 1.0 501B A23B | 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 | SpaceXAI Grok 4.7 | Reflection Beam 1.0 501B A23B |
|---|---|---|
| Maker | xAI | Reflection |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | October 16, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $0.40 |
| Output $/Mtok | $6.00 | $1.20 |
| Coding index | 66.7 | Not benchmarked |
| Independent measurements behind it | 5 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Beam 1.0 501B A23B for coding?
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for output tokens 5.0x cheaper ($1.20 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
Which is cheaper, Grok 4.7 or Beam 1.0 501B A23B?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Beam 1.0 501B A23B?
Beam 1.0 501B A23B, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Beam 1.0 501B A23B comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.