Grok 4.7 vs Muse Ember
Muse Ember leads Grok 4.7 on coding, 64.9 to 64.8 on the Vibe Coding Index, and Muse Ember costs 12.0x less per output token ($0.50 vs $6.00 per million). Updated November 14, 2026; 15 benchmarks have a result for both.
Grok 4.7 or Muse Ember: which to pick
Grok 4.7 and Muse Ember are level for coding, 64.8 against 64.9 on the Vibe Coding Index, so price and context decide.
Pick Grok 4.7 for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick Muse Ember for output tokens 12.0x cheaper ($0.50 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
- Shared results
- 15
- Grok 4.7 only
- 104
- Muse Ember only
- 0
- Like-for-like categories
- 5 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
Level: 64.8 against 64.9, inside 2 points.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Grok 4.7 has a AA Intelligence Index result, 35.5.
Directional only
Web design
Design Arena: websites
No call
Only Grok 4.7 has a Design Arena: websites result, 1243.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 58.6%.
Same board, both measured
Long documents
Listed context window
Muse Ember
Muse Ember takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Grok 4.7 $0.0050, Muse Ember $0.0003 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 64.8 from 5 benchmarks, Muse Ember 64.9 from 3 benchmarks.
- Widest category
- Knowledge, 11.8 points apart on average over 1 shared benchmark.
- Widest single gap
- Terminal-Bench 4.0 (Artificial Analysis run): Grok 4.7 25.8% against Muse Ember 40.9%, 15.2 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Muse Ember $0.50 per million output tokens, 12.0x apart.
- Context window
- Grok 4.7 takes 500K tokens, Muse Ember 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 Ember | Ties |
|---|---|---|---|---|
| Coding | 5 | 2 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 1 | 1 | ||
| Knowledge | 1 | 0 | ||
| General | 0 | 1 | ||
| All shared boards | 7 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
| Benchmark | Grok 4.7 | Muse Ember | Leader |
|---|---|---|---|
| LiveBench coding | 73.1% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1641 | 1609 | Grok 4.7 |
| Terminal-Bench 4 (Vals AI) | 28.8% | 39.4% | Muse Ember |
| Vibe Code Bench (Vals AI) | 86.2% | 83.7% | Grok 4.7 |
| 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 |
| Terminal-Bench 4.0 (Artificial Analysis run) | 25.8% | 40.9% | Muse Ember |
| FrontierCode 2.0 | 28.7% | 27.2% | Grok 4.7 |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| MirrorCode | 54.4% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | 1545.8 | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1425 | Not measured | Only Grok 4.7 measured |
| LMArena Text: software and IT | 1421 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: React | 1662 | 1616 | Grok 4.7 |
| LMArena WebDev: HTML | 1634 | 1621 | Grok 4.7 |
| LMArena WebDev: from an image | 1589 | Not measured | Only Grok 4.7 measured |
| GameBench 2 | 72.3 | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 4.0 | 37.6% | Not measured | Only Grok 4.7 measured |
| CursorBench 4.0 | 46.3% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Grok 4.7 | Muse Ember | Leader |
|---|---|---|---|
| AA Intelligence Index | 35.5 | Not measured | Only Grok 4.7 measured |
| Epoch Capabilities Index | 156.2 | Not measured | Only Grok 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Grok 4.7 | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: agents building mobile apps | 1244 | Not measured | Only Grok 4.7 measured |
| Design Arena: spreadsheets | 1425 | Not measured | Only Grok 4.7 measured |
| LiveBench research | 89.5% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 49.3% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 45.3% | 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) | 35.8% | 38.2% | Muse Ember |
| Legal Research Bench (Vals AI) | 47.1% | 49.0% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | 25.0% | Muse Ember |
| 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% | 64.3% | Muse Ember |
| 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 index11
| Benchmark | Grok 4.7 | Muse Ember | 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 |
| HLE-Diamond (Artificial Analysis run) | 23.6% | 25.1% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 43.5% | 39.0% | Grok 4.7 |
| 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 | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: expert | 1431 | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts in English | 1424 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: diagrams | 1257 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1292 | 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 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Grok 4.7 | Muse Ember | 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 | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: mathematical work | 1436 | Not measured | Only Grok 4.7 measured |
| MathArena | 35.0% | 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 index10
| Benchmark | Grok 4.7 | Muse Ember | 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 |
| AA-Omniscience | 31.2 | 7.7 | Grok 4.7 |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| GeoBench | 61.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1415 | Not measured | Only Grok 4.7 measured |
| LMArena Text: medicine and healthcare | 1394 | Not measured | Only Grok 4.7 measured |
| LMArena Text: legal and government | 1419 | Not measured | Only Grok 4.7 measured |
| LMArena Text: business and finance | 1390 | Not measured | Only Grok 4.7 measured |
| FACTS Benchmark Suite | 62.3% | Not measured | Only Grok 4.7 measured |
| PRBench Legal | 47.6% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Grok 4.7 | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1243 | Not measured | Only Grok 4.7 measured |
| Design Arena: UI components | 1274 | Not measured | Only Grok 4.7 measured |
| Design Arena: game dev | 1306 | Not measured | Only Grok 4.7 measured |
| Design Arena: data viz | 1222 | Not measured | Only Grok 4.7 measured |
| Design Arena: 3D | 1251 | Not measured | Only Grok 4.7 measured |
| Design Arena: all code categories | 1265 | Not measured | Only Grok 4.7 measured |
| Design Arena: SVG | 1273 | Not measured | Only Grok 4.7 measured |
| LiveBench design | 75.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.7 | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | 58.6% | 60.5% | Muse Ember |
| 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) | 88.7% | 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 |
| GDPval-AA | 1718 | 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 | 1400 | Not measured | Only Grok 4.7 measured |
| LMArena Text: instruction following | 1404 | Not measured | Only Grok 4.7 measured |
| LMArena Text: creative writing | 1384 | Not measured | Only Grok 4.7 measured |
| LMArena Vision | 1230 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1412 | Not measured | Only Grok 4.7 measured |
| LMArena Text: non-English | 1387 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Chinese | 1446 | Not measured | Only Grok 4.7 measured |
| LMArena Text: German | 1374 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Japanese | 1363 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1364 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1426 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Spanish | 1399 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1398 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Polish | 1409 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1397 | Not measured | Only Grok 4.7 measured |
| LMArena Text: longer queries | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: writing and language | 1395 | Not measured | Only Grok 4.7 measured |
| LMArena Text: entertainment and media | 1380 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: English | 1233 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1251 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1242 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: humor | 1203 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1215 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Muse Ember | 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
Muse Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember |
|---|---|---|
| Maker | xAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | November 9, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $0.10 |
| Output $/Mtok | $6.00 | $0.50 |
| Coding index | 64.8 | 64.9 |
| 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 Ember for coding?
Grok 4.7 and Muse Ember are level for coding, 64.8 against 64.9 on the Vibe Coding Index, so price and context decide. Pick Grok 4.7 for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick Muse Ember for output tokens 12.0x cheaper ($0.50 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
Which is cheaper, Grok 4.7 or Muse Ember?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Muse Ember costs $0.10 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Muse Ember?
Muse Ember, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Muse Ember comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Muse Ember's on 3. Where only one model has a result, the page says so instead of naming a winner.