Muse Ember vs Muse Spark 1.1
Muse Spark 1.1 leads Muse Ember on coding, 70.2 to 64.9 on the Vibe Coding Index, and Muse Ember costs 8.5x less per output token ($0.50 vs $4.25 per million). Updated November 14, 2026; 7 benchmarks have a result for both.
vs boards won of 7 shared
Muse Ember or Muse Spark 1.1: which to pick
Pick Muse Spark 1.1 for coding: it scores 70.2 on the Vibe Coding Index against 64.9 for Muse Ember.
Pick Muse Ember for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Model AMuse EmberMeta64.9/1003 independent benchmarksNo cost per solved taskModel BMuse Spark 1.1Meta70.2/1003 independent benchmarks$0.43 per solved task
- Shared results
- 7
- Muse Ember only
- 8
- Muse Spark 1.1 only
- 101
- Like-for-like categories
- 2 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 Spark 1.1
Muse Spark 1.1 scores 70.2 against 64.9.
3 benchmarks behind each score
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.1 has a AA Agentic Index result, 25.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Muse Spark 1.1 has a GPQA Diamond result, 91.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.1 has a MMLU Pro result, 88.7%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1263.
Directional only
General
Vals Index
No call
Only Muse Ember has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, Muse Spark 1.1 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.1 has the number, $0.43.
Directional only
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Muse Spark 1.1 70.2 from 3 benchmarks.
- Widest category
- Agentic work, 21.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4.0 (Artificial Analysis run): Muse Ember 40.9% against Muse Spark 1.1 6.1%, 34.8 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Muse Spark 1.1 $4.25 per million output tokens, 8.5x 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 | Muse Ember | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Agentic work | 2 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | 1541 | Muse Ember |
| AA Coding Index | Not measured | 71.3 | Only Muse Spark 1.1 measured |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Muse Spark 1.1 measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.0% | Only Muse Spark 1.1 measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Muse Ember measured |
| Vibe Code Bench (Vals AI) | 83.7% | 72.2% | Muse Ember |
| Code migration (Vals AI) | Not measured | 31.1% | Only Muse Spark 1.1 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.3% | Only Muse Spark 1.1 measured |
| SkillsBench (Vals AI) | Not measured | 59.2% | Only Muse Spark 1.1 measured |
| SciCode | Not measured | 58.8% | Only Muse Spark 1.1 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 6.1% | Muse Ember |
| FrontierCode 2.0 | 27.2% | Not measured | Only Muse Ember measured |
| LMArena Text: coding | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena Text: software and IT | Not measured | 1499 | Only Muse Spark 1.1 measured |
| LMArena WebDev: React | 1616 | 1531 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1539 | Muse Ember |
| LMArena WebDev: from an image | Not measured | 1539 | Only Muse Spark 1.1 measured |
| SWE Atlas: Codebase QnA | Not measured | 42.2% | Only Muse Spark 1.1 measured |
| SWE Atlas: Test Writing | Not measured | 41.5% | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 | Not measured | 76.2% | Only Muse Spark 1.1 measured |
| ProgramBench | Not measured | 0.0% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 154.9 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 25.8 | Only Muse Spark 1.1 measured |
| Design Arena: agents building web apps | Not measured | 1186 | Only Muse Spark 1.1 measured |
| Design Arena: agents building full-stack apps | Not measured | 1170 | Only Muse Spark 1.1 measured |
| Design Arena: agents building mobile apps | Not measured | 1170 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | Not measured | 1175 | Only Muse Spark 1.1 measured |
| Design Arena: agents building Godot games | Not measured | 1083 | Only Muse Spark 1.1 measured |
| Design Arena: agents building games | Not measured | 1133 | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | Not measured | 1090 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1123 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 1048 | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | Not measured | 57.2% | Only Muse Spark 1.1 measured |
| Tax Agent Bench (Vals AI) | 38.2% | Not measured | Only Muse Ember measured |
| Legal Research Bench (Vals AI) | 49.0% | 38.0% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Ember measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.4% | Only Muse Spark 1.1 measured |
| Time Horizon Index (Vals AI) | Not measured | 1.7% | Only Muse Spark 1.1 measured |
| APEX-Agents | 64.3% | 31.8% | Muse Ember |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| MCP Atlas | Not measured | 88.1% | Only Muse Spark 1.1 measured |
| Toolathlon-Verified | Not measured | 75.6% | Only Muse Spark 1.1 measured |
| τ³-Banking | Not measured | 40.5% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.2% | Only Muse Spark 1.1 measured |
| MMMU Pro (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.8% | Only Muse Spark 1.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 46.2% | Only Muse Spark 1.1 measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | Not measured | Only Muse Ember measured |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | Not measured | Only Muse Ember measured |
| Chess puzzles | Not measured | 34.0% | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | Not measured | 1486 | Only Muse Spark 1.1 measured |
| LMArena Text: expert | Not measured | 1479 | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts in English | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Vision: diagrams | Not measured | 1305 | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | Not measured | 1284 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 39.0% | Only Muse Spark 1.1 measured |
| LMArena Text: math | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: mathematical work | Not measured | 1484 | Only Muse Spark 1.1 measured |
| MathArena | Not measured | 39.1% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.7% | Only Muse Spark 1.1 measured |
| LegalBench (Vals AI) | Not measured | 85.0% | Only Muse Spark 1.1 measured |
| CorpFin (Vals AI) | Not measured | 71.3% | Only Muse Spark 1.1 measured |
| TaxEval (Vals AI) | Not measured | 79.7% | Only Muse Spark 1.1 measured |
| MortgageTax (Vals AI) | Not measured | 66.1% | Only Muse Spark 1.1 measured |
| AA-Omniscience | 7.7 | Not measured | Only Muse Ember measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: legal and government | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: business and finance | Not measured | 1470 | Only Muse Spark 1.1 measured |
| PRBench Finance | Not measured | 55.0% | Only Muse Spark 1.1 measured |
| PRBench Legal | Not measured | 57.0% | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1263 | Only Muse Spark 1.1 measured |
| Design Arena: UI components | Not measured | 1280 | Only Muse Spark 1.1 measured |
| Design Arena: game dev | Not measured | 1257 | Only Muse Spark 1.1 measured |
| Design Arena: data viz | Not measured | 1263 | Only Muse Spark 1.1 measured |
| Design Arena: 3D | Not measured | 1237 | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | Not measured | 1266 | Only Muse Spark 1.1 measured |
| Design Arena: SVG | Not measured | 1223 | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | Not measured | 1256 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only Muse Ember measured |
| Public Benefits Bench (Vals AI) | Not measured | 61.3% | Only Muse Spark 1.1 measured |
| MedScribe (Vals AI) | Not measured | 88.9% | Only Muse Spark 1.1 measured |
| Vals Multimodal Index | Not measured | 66.7% | Only Muse Spark 1.1 measured |
| Long context reasoning (AA-LCR) | Not measured | 77.7% | Only Muse Spark 1.1 measured |
| GDPval-AA | Not measured | 1216 | Only Muse Spark 1.1 measured |
| DTBench | Not measured | 94.4% | Only Muse Spark 1.1 measured |
| LMCA | Not measured | 49.9% | Only Muse Spark 1.1 measured |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | Not measured | 1479 | Only Muse Spark 1.1 measured |
| LMArena Text: instruction following | Not measured | 1457 | Only Muse Spark 1.1 measured |
| LMArena Text: creative writing | Not measured | 1435 | Only Muse Spark 1.1 measured |
| LMArena Vision | Not measured | 1292 | Only Muse Spark 1.1 measured |
| LMArena Text: English | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: non-English | Not measured | 1472 | Only Muse Spark 1.1 measured |
| LMArena Text: Chinese | Not measured | 1517 | Only Muse Spark 1.1 measured |
| LMArena Text: German | Not measured | 1470 | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | Not measured | 1450 | Only Muse Spark 1.1 measured |
| LMArena Text: Korean | Not measured | 1456 | Only Muse Spark 1.1 measured |
| LMArena Text: French | Not measured | 1492 | Only Muse Spark 1.1 measured |
| LMArena Text: Spanish | Not measured | 1463 | Only Muse Spark 1.1 measured |
| LMArena Text: Russian | Not measured | 1483 | Only Muse Spark 1.1 measured |
| LMArena Text: Polish | Not measured | 1502 | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | Not measured | 1485 | Only Muse Spark 1.1 measured |
| LMArena Text: longer queries | Not measured | 1462 | Only Muse Spark 1.1 measured |
| LMArena Text: writing and language | Not measured | 1448 | Only Muse Spark 1.1 measured |
| LMArena Text: entertainment and media | Not measured | 1437 | Only Muse Spark 1.1 measured |
| LMArena Vision: English | Not measured | 1291 | Only Muse Spark 1.1 measured |
| LMArena Vision: Chinese | Not measured | 1348 | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | Not measured | 1300 | Only Muse Spark 1.1 measured |
| LMArena Vision: humor | Not measured | 1296 | Only Muse Spark 1.1 measured |
| LMArena Vision: creative writing | Not measured | 1257 | Only Muse Spark 1.1 measured |
| LMArena Document | Not measured | 1463 | Only Muse Spark 1.1 measured |
| MultiChallenge | Not measured | 75.3% | Only Muse Spark 1.1 measured |
| EQ-Bench 4 | Not measured | 1244 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Muse Spark 1.1 | 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$0.0003Fits in one request
Muse Spark 1.1$0.0034Fits in one request
Muse Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember$0.0065Fits in one request
Muse Spark 1.1$0.075Fits in one request
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember$0.025Fits in one request
Muse Spark 1.1$0.292Fits in one request
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 | Meta Muse Ember | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | Meta | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | November 9, 2026 | July 16, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $1.25 |
| Output $/Mtok | $0.50 | $4.25 |
| Coding index | 64.9 | 70.2 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Muse Spark 1.1 for coding?
Pick Muse Spark 1.1 for coding: it scores 70.2 on the Vibe Coding Index against 64.9 for Muse Ember. Pick Muse Ember for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Muse Ember or Muse Spark 1.1?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.
Which has the bigger context window, Muse Ember or Muse Spark 1.1?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs Muse Spark 1.1 comparison based on?
7 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.