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Muse Ember vs Muse Spark 1.3

Muse Ember leads Muse Spark 1.3 on coding, 64.9 to 56.1 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; 13 benchmarks have a result for both.

Muse EmberMeta
Coding
64.9
Overall
No data
Output $/M
$0.50
7
Muse Spark 1.3Meta
Coding
56.1
Overall
64.3
Output $/M
$4.25
6
vs boards won of 13 shared

Muse Ember or Muse Spark 1.3: which to pick

Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 56.1 for Muse Spark 1.3, though on 3 benchmarks against 4.

Pick Muse Spark 1.3 for work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Shared results
13
Muse Ember only
2
Muse Spark 1.3 only
98
Like-for-like categories
4 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.

At a glance

Coding index
Muse Ember 64.9 from 3 benchmarks, Muse Spark 1.3 56.1 from 4 benchmarks.
Widest category
Reasoning, 8.8 points apart on average over 2 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Muse Ember 39.4% against Muse Spark 1.3 10.6%, 38.4 points apart on a 0 to 100 scale.
Output price
Muse Ember $0.50 against Muse Spark 1.3 $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.

Boards won, where both have a result
CategoryMuse EmberBarsMuse Spark 1.3Ties
Coding43
Agentic work30
Reasoning02
Knowledge01
All shared boards76
CodingLike-for-likeSix of these boards feed the Vibe Coding Index43
Coding benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
LiveBench codingNot measured84.4%Only Muse Spark 1.3 measured
LMArena WebDev16091655Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)39.4%10.6%Muse Ember
Vibe Code Bench (Vals AI)83.7%82.9%Muse Ember
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench 4.0 (Artificial Analysis run)40.9%33.3%Muse Ember
FrontierCode 2.027.2%23.1%Muse Ember
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
MirrorCodeNot measured54.4%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: codingNot measured1509Only Muse Spark 1.3 measured
LMArena Text: software and ITNot measured1510Only Muse Spark 1.3 measured
LMArena WebDev: React16161669Muse Spark 1.3
LMArena WebDev: HTML16211653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1637Only Muse Spark 1.3 measured
GameBench 2Not measured68.5Only Muse Spark 1.3 measured
Terminal-Bench 4.0Not measured14.5%Only Muse Spark 1.3 measured
CursorBench 4.0Not measured41.6%Only Muse Spark 1.3 measured
ProgramBenchNot measured2.5%Only Muse Spark 1.3 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
Intelligence benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
AA Intelligence IndexNot measured36.6Only Muse Spark 1.3 measured
Epoch Capabilities IndexNot measured158.2Only Muse Spark 1.3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1273Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1270Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1204Only Muse Spark 1.3 measured
Design Arena: agents building Android appsNot measured1279Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1218Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1213Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1076Only Muse Spark 1.3 measured
LiveBench researchNot measured82.5%Only Muse Spark 1.3 measured
LiveBench browserNot measured30.9%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured47.9%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)38.2%37.9%Muse Ember
Legal Research Bench (Vals AI)49.0%40.9%Muse Ember
Harvey's Legal Agent Benchmark (Vals AI)25.0%Not measuredOnly Muse Ember measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
APEX-Agents64.3%58.6%Muse Ember
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Muse Spark 1.3 measured
HLE-Diamond (Artificial Analysis run)25.1%33.7%Muse Spark 1.3
CritPt v2, hard subset (Artificial Analysis run)39.0%48.0%Muse Spark 1.3
SimpleBenchNot measured81.8%Only Muse Spark 1.3 measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard promptsNot measured1502Only Muse Spark 1.3 measured
LMArena Text: expertNot measured1509Only Muse Spark 1.3 measured
LMArena Text: hard prompts in EnglishNot measured1500Only Muse Spark 1.3 measured
LMArena Vision: diagramsNot measured1336Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1309Only Muse Spark 1.3 measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
OTIS Mock AIMENot measured99.2%Only Muse Spark 1.3 measured
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: mathNot measured1498Only Muse Spark 1.3 measured
LMArena Text: mathematical workNot measured1494Only Muse Spark 1.3 measured
MathArenaNot measured36.7%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
AA-Omniscience7.723.8Muse Spark 1.3
GeoBenchNot measured86.0%Only Muse Spark 1.3 measured
LMArena Text: scienceNot measured1507Only Muse Spark 1.3 measured
LMArena Text: medicine and healthcareNot measured1496Only Muse Spark 1.3 measured
LMArena Text: legal and governmentNot measured1496Only Muse Spark 1.3 measured
LMArena Text: business and financeNot measured1484Only Muse Spark 1.3 measured
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
Design Arena: websitesNot measured1360Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1345Only Muse Spark 1.3 measured
Design Arena: game devNot measured1330Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1342Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1347Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1351Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1295Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1300Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards, none shared
General benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
Vals Index60.5%Not measuredOnly Muse Ember measured
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Muse Spark 1.3 measured
GDPval-AANot measured1681Only Muse Spark 1.3 measured
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
LMArena TextNot measured1492Only Muse Spark 1.3 measured
LMArena Text: instruction followingNot measured1479Only Muse Spark 1.3 measured
LMArena Text: creative writingNot measured1467Only Muse Spark 1.3 measured
LMArena VisionNot measured1310Only Muse Spark 1.3 measured
LMArena Text: EnglishNot measured1495Only Muse Spark 1.3 measured
LMArena Text: non-EnglishNot measured1483Only Muse Spark 1.3 measured
LMArena Text: ChineseNot measured1528Only Muse Spark 1.3 measured
LMArena Text: GermanNot measured1508Only Muse Spark 1.3 measured
LMArena Text: JapaneseNot measured1482Only Muse Spark 1.3 measured
LMArena Text: KoreanNot measured1483Only Muse Spark 1.3 measured
LMArena Text: FrenchNot measured1509Only Muse Spark 1.3 measured
LMArena Text: SpanishNot measured1493Only Muse Spark 1.3 measured
LMArena Text: RussianNot measured1492Only Muse Spark 1.3 measured
LMArena Text: PolishNot measured1500Only Muse Spark 1.3 measured
LMArena Text: multi-turnNot measured1488Only Muse Spark 1.3 measured
LMArena Text: longer queriesNot measured1489Only Muse Spark 1.3 measured
LMArena Text: writing and languageNot measured1475Only Muse Spark 1.3 measured
LMArena Text: entertainment and mediaNot measured1464Only Muse Spark 1.3 measured
LMArena Vision: EnglishNot measured1300Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1366Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1320Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1275Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1309Only Muse Spark 1.3 measured
LMArena DocumentNot measured1473Only Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Ember and Muse Spark 1.3
BenchmarkMuse EmberMuse Spark 1.3Leader
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 1.3$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 1.3$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 1.3$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.

Specifications of Muse Ember and Muse Spark 1.3
SpecificationMeta Muse EmberMeta Muse Spark 1.3
MakerMetaMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 9, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.10$1.25
Output $/Mtok$0.50$4.25
Coding index64.956.1
Independent measurements behind it34
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Ember better than Muse Spark 1.3 for coding?

Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 56.1 for Muse Spark 1.3, though on 3 benchmarks against 4. Pick Muse Spark 1.3 for work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Which is cheaper, Muse Ember or Muse Spark 1.3?

Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Ember or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Ember vs Muse Spark 1.3 comparison based on?

13 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 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-ember-vs-meta-muse-spark-1-3" title="Muse Ember vs Muse Spark 1.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-ember-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Muse Ember vs Muse Spark 1.3</a></p>