Grok 4.7 vs Muse Wonder
Muse Wonder leads Grok 4.7 on coding, 71.9 to 66.7 on the Vibe Coding Index, and Grok 4.7 costs 3.3x less per output token ($6.00 vs $20.00 per million). Updated October 22, 2026; 57 benchmarks have a result for both.
Grok 4.7 or Muse Wonder: which to pick
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 66.7 for Grok 4.7, though on 3 benchmarks against 5.
Pick Grok 4.7 for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and work measured by Vibe Code Bench (Vals AI) or LMArena WebDev: React, where it leads.
- Shared results
- 57
- Grok 4.7 only
- 42
- Muse Wonder only
- 3
- Like-for-like categories
- 8 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
Muse Wonder
Muse Wonder scores 71.9 against 66.7.
5 and 3 benchmarks behind the scores
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
Muse Wonder
Muse Wonder leads, 1362 against 1255.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 58.6%.
Same board, both measured
Long documents
Listed context window
Muse Wonder
Muse Wonder takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.7
Grok 4.7 $0.0050, Muse Wonder $0.014 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Muse Wonder 71.9 from 3 benchmarks.
- Widest category
- Math, 27.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Grok 4.7 26.0% against Muse Wonder 84.0%, 58.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Muse Wonder $20.00 per million output tokens, 3.3x apart.
- Context window
- Grok 4.7 takes 500K tokens, Muse Wonder 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 | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 2 | 10 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 2 | 7 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 1 | 16 | ||
| All shared boards | 5 | 52 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index210
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1652 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 28.8% | 49.5% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 86.2% | 83.1% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | 62.5% | Muse Wonder |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | 66.9% | Muse Wonder |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | Not measured | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | 42.9% | 45.6% | Muse Wonder |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 26.6% | Only Muse Wonder measured |
| CyberBench (Vals AI) | 69.5% | 80.4% | Muse Wonder |
| SciCode | 57.8% | 60.3% | Muse Wonder |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1432 | 1522 | Muse Wonder |
| LMArena Text: software and IT | 1421 | 1515 | Muse Wonder |
| LMArena WebDev: React | 1663 | 1641 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1694 | Muse Wonder |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | Not measured | Only Grok 4.7 measured |
| Epoch Capabilities Index | 154.4 | 161.8 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | Not measured | 1243 | Only Muse Wonder measured |
| 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% | 56.6% | Muse Wonder |
| Tax Agent Bench (Vals AI) | 34.2% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 47.1% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | 23.8% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | 67.0% | 67.1% | Muse Wonder |
| BioMysteryBench (Vals AI) | 69.3% | 67.0% | Grok 4.7 |
| Terminal-Bench-Science (Vals AI) | 10.0% | 22.9% | Muse Wonder |
| Vals Science Index | 34.8% | 39.1% | Muse Wonder |
| CUA-bench (Vals AI) | Not measured | 7.2% | Only Muse Wonder 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 | $9,432 | Grok 4.7 |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | 27.5% | Muse Wonder |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 50.1% | Muse Wonder |
| 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 | 1506 | Muse Wonder |
| LMArena Text: expert | 1439 | 1513 | Muse Wonder |
| LMArena Text: hard prompts in English | 1427 | 1506 | Muse Wonder |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | 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 index03
| Benchmark | Grok 4.7 | Muse Wonder | 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% | 84.0% | Muse Wonder |
| LMArena Text: math | 1414 | 1486 | Muse Wonder |
| LMArena Text: mathematical work | 1435 | 1514 | Muse Wonder |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Grok 4.7 | Muse Wonder | 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 | 1506 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1395 | 1512 | Muse Wonder |
| LMArena Text: legal and government | 1423 | 1505 | Muse Wonder |
| LMArena Text: business and finance | 1389 | 1483 | Muse Wonder |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1362 | Muse Wonder |
| Design Arena: UI components | 1275 | 1379 | Muse Wonder |
| Design Arena: game dev | 1314 | 1376 | Muse Wonder |
| Design Arena: data viz | 1238 | 1317 | Muse Wonder |
| Design Arena: 3D | 1274 | 1427 | Muse Wonder |
| Design Arena: all code categories | 1273 | 1371 | Muse Wonder |
| 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 index116
| Benchmark | Grok 4.7 | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 58.6% | 64.9% | Muse Wonder |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | 70.2% | Muse Wonder |
| 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% | 80.7% | Muse Wonder |
| DTBench | 96.0% | 95.2% | Grok 4.7 |
| LMCA | 49.4% | 56.8% | Muse Wonder |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1502 | Muse Wonder |
| LMArena Text: instruction following | 1406 | 1491 | Muse Wonder |
| LMArena Text: creative writing | 1381 | 1491 | Muse Wonder |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1507 | Muse Wonder |
| LMArena Text: non-English | 1386 | 1492 | Muse Wonder |
| LMArena Text: Chinese | 1449 | 1537 | Muse Wonder |
| 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 | 1523 | Muse Wonder |
| LMArena Text: Spanish | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1399 | 1522 | Muse Wonder |
| LMArena Text: Polish | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1394 | 1510 | Muse Wonder |
| LMArena Text: longer queries | 1416 | 1493 | Muse Wonder |
| LMArena Text: writing and language | 1394 | 1496 | Muse Wonder |
| LMArena Text: entertainment and media | 1376 | 1482 | Muse Wonder |
| 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 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Muse Wonder | 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
Grok 4.7 costs less
Repository review
50K input + 3K output tokens
Grok 4.7 costs less
Agent loop
200K input + 10K output tokens
Grok 4.7 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 | Meta Muse Wonder |
|---|---|---|
| Maker | xAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | October 12, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $4.00 |
| Output $/Mtok | $6.00 | $20.00 |
| Coding index | 66.7 | 71.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Muse Wonder for coding?
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 66.7 for Grok 4.7, though on 3 benchmarks against 5. Pick Grok 4.7 for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and work measured by Vibe Code Bench (Vals AI) or LMArena WebDev: React, where it leads.
Which is cheaper, Grok 4.7 or Muse Wonder?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Muse Wonder?
Muse Wonder, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Muse Wonder comparison based on?
57 benchmarks have a result for both models as of October 22, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.