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Meta Muse Spark Open

As of October 21, 2026, Meta Muse Spark Open ranks #81 of 123 models overall with 44.9 ±17.7 on the LLMBenchmark Index. Muse Spark Open ranks #9 of 133 in web design, its strongest category. Meta Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens. Muse Spark Open was released on October 15, 2026.

Muse Spark Open's output price ranks 245 of 349 priced models, counting from the cheapest.

  • Coding index 47.4 Verified, 4 benchmarks
  • Cost per solved task Not computable No published attempt cost
  • Output, per million tokens $4.25 245 of 349 from the cheapest Median of 6 providers on OpenRouter
  • Input, per million tokens $1.25 Median of 6 providers on OpenRouter
  • Context window 1.05M Tokens per request
  • Downloads, 30 days 2,891 Hugging Face
New model

Muse Spark Open launch tracker

Listed on OpenRouter October 15, 2026, 6 days before our data. Results so far on 28 of 195 public boards; this page updates every day as boards publish.

About and specs

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

API model id meta/muse-spark-open
  • Tool callingListed
  • Structured outputsListed
  • JSON modeListed
  • Reasoning modeListed
  • Web searchNot listed
Takes in
Text, Images, Video, Files, Audio
Gives back
Text
Context window
1.05M tokens
Max output
944K tokens
Knowledge cutoff
Not published
Cached input $/Mtok
$0.15
Cache write $/Mtok
No cache write price listed
Reasoning $/Mtok
Not priced apart
Web search, per request
No search price listed
Tokenizer
Not named
Requests moderated
No
Withdrawn on
No date announced
Parameters
822B, per its Hugging Face weights
Downloads, all time
3,094 on Hugging Face
Training compute
No estimate published
Output speed
135 tokens/s, Xhigh effort
Time to first token
0.5 s, Xhigh effort
Speed on OpenRouter
Not measured
First token on OpenRouter
Not measured

Benchmarks: 28 of 195 measured

The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.

Coding index

47.4
  • Terminal-Bench 4 (Vals AI) 6.6% 9 of 100
  • Vibe Code Bench (Vals AI) 76.2% 76 of 100
  • LiveBench coding 73.6% 74 of 100
  • SWE-bench Verified (Vals AI) Not measured
  • FrontierCode Not measured
  • LMArena WebDev Elo, scaled from 1200 to 1900 1528 Elo 47 of 100

The index averages only the coding benchmarks that have a result; the others are skipped, never filled in. How it is weighted

Other public boards

All rankings

Coding5 of 33 boards

Not measured on Aider polyglot, SWE-bench Verified, SWE-bench Lite, SWE-bench (full test set), SWE-bench Multimodal, SWE-bench Multilingual, AA Coding Index, LiveCodeBench (Vals AI), ProgramBench (Vals AI), IOI (Vals AI), Terminal-Bench 2.1 (Vals AI), SWE-bench Multimodal (Vals AI), Vibe Code Bench 1-100 (Vals AI), SkillsBench (Vals AI), CyberBench (Vals AI), LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run), Terminal-Bench, DeepSWE, FrontierSWE, GSO-Bench, WeirdML, MirrorCode, Cybench, LMArena Text: coding, LMArena Text: software and IT, LMArena WebDev: from an image, SciCode

Intelligence1 of 2 boards

Not measured on AA Intelligence Index

Agentic work9 of 41 boards

3 more agentic work boards

Not measured on AA Agentic Index, Design Arena: agents building web apps, Design Arena: agents building full-stack apps, Design Arena: agents building mobile apps, Design Arena: agents building Android apps, Design Arena: agents building Godot games, Design Arena: agents building games, Design Arena: HTML slides, Design Arena: PowerPoint slides, Design Arena: spreadsheets, SREBench (Vals AI), BioMysteryBench (Vals AI), Terminal-Bench-Science (Vals AI), Vals Science Index, Time Horizon Index (Vals AI), CUA-bench (Vals AI), Robo-bench (Vals AI), τ²-Bench Telecom, METR time horizons, Remote Labor Index, GDPval, OSWorld 2.0, BALROG, DeepResearch Bench, PostTrainBench, TheAgentCompany, OSWorld, SpireClimb, Vending-Bench 2, LMArena Search, Berkeley Function Calling Leaderboard (BFCL), BrowseComp-Plus

Reasoning3 of 22 boards

Not measured on GPQA Diamond, MysteryMechanism (Vals AI), MMMU Pro (Vals AI), GPQA Diamond (Epoch AI run), ARC-AGI, ARC-AGI-2, Humanity's Last Exam, SimpleBench, Chess puzzles, Mystery game puzzles, EBR-bench, VPCT, BIG-Bench Hard, LMArena Text: hard prompts, LMArena Text: expert, LMArena Text: hard prompts in English, LMArena Vision: diagrams, LMArena Vision: homework, Kagi LLM Benchmark

Math0 of 13 boards

Not measured on AIME, MATH 500 (Vals AI), MGSM (Vals AI), AA Math Index, AIME 2025 (Artificial Analysis run), OTIS Mock AIME, FrontierMath, tiers 1 to 3, FrontierMath, tier 4, ProofBench, MATH level 5, GSM8K, LMArena Text: math, LMArena Text: mathematical work

Knowledge0 of 18 boards

Not measured on MMLU Pro, LegalBench (Vals AI), CaseLaw (Vals AI), CorpFin (Vals AI), TaxEval (Vals AI), MortgageTax (Vals AI), MedQA (Vals AI), MedCode (Vals AI), MMLU Pro (Artificial Analysis run), SimpleQA Verified, MMLU, GeoBench, AI2 Reasoning Challenge, LMArena Text: science, LMArena Text: medicine and healthcare, LMArena Text: legal and government, LMArena Text: business and finance, FACTS Benchmark Suite

Web design3 of 9 boards

Not measured on Design Arena: UI components, Design Arena: data viz, Design Arena: 3D, Design Arena: all code categories, Design Arena: SVG, Design Arena: ASCII art

General3 of 46 boards

Not measured on Public Benefits Bench (Vals AI), SAGE (Vals AI), MedScribe (Vals AI), Vals Multimodal Index, IFBench, DTBench, LMCA, Fiction.LiveBench, Creative writing (Lech Mazur), CL-bench, Surface Evolver Bench, Furniture assembly, ExploitBench, HellaSwag, WinoGrande, PIQA, CL-bench Life, LMArena Text, LMArena Text: instruction following, LMArena Text: creative writing, LMArena Vision, LMArena Text: English, LMArena Text: non-English, LMArena Text: Chinese, LMArena Text: German, LMArena Text: Japanese, LMArena Text: Korean, LMArena Text: French, LMArena Text: Spanish, LMArena Text: Russian, LMArena Text: Polish, LMArena Text: multi-turn, LMArena Text: longer queries, LMArena Text: writing and language, LMArena Text: entertainment and media, LMArena Vision: English, LMArena Vision: Chinese, LMArena Vision: reading text, LMArena Vision: humor, LMArena Vision: captioning, LMArena Vision: recognizing things, LMArena Vision: creative writing, LMArena Document

Image generation0 of 5 boards

Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit

Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.

All 195 benchmarks as a table
Benchmark results for Meta Muse Spark Open
BenchmarkResultIndex weight
Aider polyglotCoding Not measured Not in index
SWE-bench VerifiedCoding Not measured Not in index
SWE-bench LiteCoding Not measured Not in index
SWE-bench (full test set)Coding Not measured Not in index
SWE-bench MultimodalCoding Not measured Not in index
SWE-bench MultilingualCoding Not measured Not in index
LiveBench codingCoding 73.6% 15%
LMArena WebDevCoding 1528 10%
Vals IndexGeneral 48.6% Not in index
GPQA DiamondReasoning Not measured Not in index
AIMEMath Not measured Not in index
MMLU ProKnowledge Not measured Not in index
AA Intelligence IndexIntelligence Not measured Not in index
AA Coding IndexCoding Not measured Not in index
AA Agentic IndexAgentic work Not measured Not in index
Design Arena: websitesWeb design 1317 Not in index
Design Arena: UI componentsWeb design Not measured Not in index
Design Arena: game devWeb design 1294 Not in index
Design Arena: data vizWeb design Not measured Not in index
Design Arena: 3DWeb design Not measured Not in index
Design Arena: all code categoriesWeb design Not measured Not in index
Design Arena: SVGWeb design Not measured Not in index
Design Arena: ASCII artWeb design Not measured Not in index
Design Arena: agents building web appsAgentic work Not measured Not in index
Design Arena: agents building full-stack appsAgentic work Not measured Not in index
Design Arena: agents building mobile appsAgentic work Not measured Not in index
Design Arena: agents building Android appsAgentic work Not measured Not in index
Design Arena: agents building Godot gamesAgentic work Not measured Not in index
Design Arena: agents building gamesAgentic work Not measured Not in index
Design Arena: HTML slidesAgentic work Not measured Not in index
Design Arena: PowerPoint slidesAgentic work Not measured Not in index
Design Arena: spreadsheetsAgentic work Not measured Not in index
Design Arena: imagesImage generation Not measured Not in index
Design Arena: graphic designImage generation Not measured Not in index
Design Arena: logosImage generation Not measured Not in index
LiveBench reasoningReasoning 73.7% Not in index
LiveBench data analysisGeneral 60.2% Not in index
LiveBench researchAgentic work 80.3% Not in index
LiveBench browserAgentic work 36.0% Not in index
LiveBench long agenticAgentic work 18.9% Not in index
LiveBench designWeb design 60.3% Not in index
LiveCodeBench (Vals AI)Coding Not measured Not in index
SWE-bench Verified (Vals AI)Coding Not measured 15%
Terminal-Bench 4 (Vals AI)Coding 6.6% 25%
Vibe Code Bench (Vals AI)Coding 76.2% 20%
Code migration (Vals AI)Coding 21.2% Not in index
ProgramBench (Vals AI)Coding Not measured Not in index
SREBench (Vals AI)Agentic work Not measured Not in index
IOI (Vals AI)Coding Not measured Not in index
Terminal-Bench 2.1 (Vals AI)Coding Not measured Not in index
SWE-bench Multimodal (Vals AI)Coding Not measured Not in index
Vibe Code Bench 1-100 (Vals AI)Coding Not measured Not in index
SkillsBench (Vals AI)Coding Not measured Not in index
CyberBench (Vals AI)Coding Not measured Not in index
Finance Agent (Vals AI)Agentic work 61.3% Not in index
Tax Agent Bench (Vals AI)Agentic work 26.3% Not in index
Legal Research Bench (Vals AI)Agentic work 38.5% Not in index
Harvey's Legal Agent Benchmark (Vals AI)Agentic work 25.0% Not in index
Excel Modeling Benchmark (Vals AI)Agentic work 53.7% Not in index
BioMysteryBench (Vals AI)Agentic work Not measured Not in index
Terminal-Bench-Science (Vals AI)Agentic work Not measured Not in index
Vals Science IndexAgentic work Not measured Not in index
Time Horizon Index (Vals AI)Agentic work Not measured Not in index
CUA-bench (Vals AI)Agentic work Not measured Not in index
Robo-bench (Vals AI)Agentic work Not measured Not in index
Public Benefits Bench (Vals AI)General Not measured Not in index
MysteryMechanism (Vals AI)Reasoning Not measured Not in index
MMMU Pro (Vals AI)Reasoning Not measured Not in index
MATH 500 (Vals AI)Math Not measured Not in index
MGSM (Vals AI)Math Not measured Not in index
SAGE (Vals AI)General Not measured Not in index
LegalBench (Vals AI)Knowledge Not measured Not in index
CaseLaw (Vals AI)Knowledge Not measured Not in index
CorpFin (Vals AI)Knowledge Not measured Not in index
TaxEval (Vals AI)Knowledge Not measured Not in index
MortgageTax (Vals AI)Knowledge Not measured Not in index
MedQA (Vals AI)Knowledge Not measured Not in index
MedCode (Vals AI)Knowledge Not measured Not in index
MedScribe (Vals AI)General Not measured Not in index
Vals Multimodal IndexGeneral Not measured Not in index
AA Math IndexMath Not measured Not in index
GPQA Diamond (Artificial Analysis run)Reasoning 89.0% Not in index
Humanity's Last Exam (Artificial Analysis run)Reasoning 43.9% Not in index
MMLU Pro (Artificial Analysis run)Knowledge Not measured Not in index
LiveCodeBench (Artificial Analysis run)Coding Not measured Not in index
SciCodeCoding 58.4% Not in index
Terminal-Bench Hard (Artificial Analysis run)Coding Not measured Not in index
IFBenchGeneral Not measured Not in index
Long context reasoning (AA-LCR)General 78.3% Not in index
τ²-Bench TelecomAgentic work Not measured Not in index
AIME 2025 (Artificial Analysis run)Math Not measured Not in index
Terminal-BenchCoding Not measured Not in index
DeepSWECoding Not measured Not in index
FrontierCodeCoding Not measured 15%
FrontierSWECoding Not measured Not in index
GSO-BenchCoding Not measured Not in index
WeirdMLCoding Not measured Not in index
MirrorCodeCoding Not measured Not in index
APEX-AgentsAgentic work 33.4% Not in index
METR time horizonsAgentic work Not measured Not in index
Remote Labor IndexAgentic work Not measured Not in index
GDPvalAgentic work Not measured Not in index
OSWorld 2.0Agentic work Not measured Not in index
BALROGAgentic work Not measured Not in index
DeepResearch BenchAgentic work Not measured Not in index
PostTrainBenchAgentic work Not measured Not in index
GPQA Diamond (Epoch AI run)Reasoning Not measured Not in index
ARC-AGIReasoning Not measured Not in index
ARC-AGI-2Reasoning Not measured Not in index
Humanity's Last ExamReasoning Not measured Not in index
SimpleBenchReasoning Not measured Not in index
Chess puzzlesReasoning Not measured Not in index
Mystery game puzzlesReasoning Not measured Not in index
EBR-benchReasoning Not measured Not in index
OTIS Mock AIMEMath Not measured Not in index
FrontierMath, tiers 1 to 3Math Not measured Not in index
FrontierMath, tier 4Math Not measured Not in index
ProofBenchMath Not measured Not in index
MATH level 5Math Not measured Not in index
GSM8KMath Not measured Not in index
SimpleQA VerifiedKnowledge Not measured Not in index
MMLUKnowledge Not measured Not in index
GeoBenchKnowledge Not measured Not in index
DTBenchGeneral Not measured Not in index
LMCAGeneral Not measured Not in index
Fiction.LiveBenchGeneral Not measured Not in index
Creative writing (Lech Mazur)General Not measured Not in index
CL-benchGeneral Not measured Not in index
Surface Evolver BenchGeneral Not measured Not in index
Furniture assemblyGeneral Not measured Not in index
ExploitBenchGeneral Not measured Not in index
CybenchCoding Not measured Not in index
TheAgentCompanyAgentic work Not measured Not in index
OSWorldAgentic work Not measured Not in index
SpireClimbAgentic work Not measured Not in index
VPCTReasoning Not measured Not in index
BIG-Bench HardReasoning Not measured Not in index
AI2 Reasoning ChallengeKnowledge Not measured Not in index
HellaSwagGeneral Not measured Not in index
WinoGrandeGeneral Not measured Not in index
PIQAGeneral Not measured Not in index
CL-bench LifeGeneral Not measured Not in index
ALE-BenchCoding 1590.1 Not in index
Vending-Bench 2Agentic work Not measured Not in index
Epoch Capabilities IndexIntelligence 155.1 Not in index
LMArena TextGeneral Not measured Not in index
LMArena Text: codingCoding Not measured Not in index
LMArena Text: hard promptsReasoning Not measured Not in index
LMArena Text: mathMath Not measured Not in index
LMArena Text: instruction followingGeneral Not measured Not in index
LMArena Text: creative writingGeneral Not measured Not in index
LMArena VisionGeneral Not measured Not in index
LMArena Text: EnglishGeneral Not measured Not in index
LMArena Text: non-EnglishGeneral Not measured Not in index
LMArena Text: ChineseGeneral Not measured Not in index
LMArena Text: GermanGeneral Not measured Not in index
LMArena Text: JapaneseGeneral Not measured Not in index
LMArena Text: KoreanGeneral Not measured Not in index
LMArena Text: FrenchGeneral Not measured Not in index
LMArena Text: SpanishGeneral Not measured Not in index
LMArena Text: RussianGeneral Not measured Not in index
LMArena Text: PolishGeneral Not measured Not in index
LMArena Text: multi-turnGeneral Not measured Not in index
LMArena Text: longer queriesGeneral Not measured Not in index
LMArena Text: expertReasoning Not measured Not in index
LMArena Text: hard prompts in EnglishReasoning Not measured Not in index
LMArena Text: software and ITCoding Not measured Not in index
LMArena Text: mathematical workMath Not measured Not in index
LMArena Text: scienceKnowledge Not measured Not in index
LMArena Text: medicine and healthcareKnowledge Not measured Not in index
LMArena Text: legal and governmentKnowledge Not measured Not in index
LMArena Text: business and financeKnowledge Not measured Not in index
LMArena Text: writing and languageGeneral Not measured Not in index
LMArena Text: entertainment and mediaGeneral Not measured Not in index
LMArena WebDev: ReactCoding 1529 Not in index
LMArena WebDev: HTMLCoding 1495 Not in index
LMArena WebDev: from an imageCoding Not measured Not in index
LMArena Vision: EnglishGeneral Not measured Not in index
LMArena Vision: ChineseGeneral Not measured Not in index
LMArena Vision: reading textGeneral Not measured Not in index
LMArena Vision: diagramsReasoning Not measured Not in index
LMArena Vision: homeworkReasoning Not measured Not in index
LMArena Vision: humorGeneral Not measured Not in index
LMArena Vision: captioningGeneral Not measured Not in index
LMArena Vision: recognizing thingsGeneral Not measured Not in index
LMArena Vision: creative writingGeneral Not measured Not in index
LMArena SearchAgentic work Not measured Not in index
LMArena DocumentGeneral Not measured Not in index
LMArena Text to ImageImage generation Not measured Not in index
LMArena Image EditImage generation Not measured Not in index
Berkeley Function Calling Leaderboard (BFCL)Agentic work Not measured Not in index
Kagi LLM BenchmarkReasoning Not measured Not in index
BrowseComp-PlusAgentic work Not measured Not in index
SciCodeCoding Not measured Not in index
FACTS Benchmark SuiteKnowledge Not measured Not in index

What it costs

A list price says what a token costs. The cost per solved task says what a working answer costs, which is the number that decides.

Output price against the market

Muse Spark Open pricing
$0.05Dashed line: median $1.80, log scale$600.00
$4.25 per million output tokens is cheaper than 29% of the 344 paid models in the catalog.

Cost per solved task

How it is computed

Neither board that publishes what a SWE-bench Verified attempt costs, Vals AI and swebench.com, has run this model. We leave the number out rather than estimate it.

LiveBench, on its own coding tasks, publishes what one task cost this model: $1.253, at a score of 73.6%. LiveBench counts that as $1.702 per successful task. Different tasks from SWE-bench, so it is not our number and does not enter its ranking. LiveBench coding

Nearly as good as Muse Spark Open, for less

What the boards say about its runs

Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.

What each board publishes about the runs behind Meta: Muse Spark Open's results
BoardResultWhat the run costAlso published
LiveBench coding 73.6% $1.2525 per task Output tokens per task 26,529
Vals Index 48.6% $4.72 per test Duration, as printed 1h 22m
LiveBench reasoning 73.7% $0.0427 per task Output tokens per task 9,861
LiveBench data analysis 60.2% $0.0449 per task Output tokens per task 9,999
LiveBench research 80.3% $0.732 per task Output tokens per task 22,757
LiveBench browser 36.0% $2.6434 per task Output tokens per task 23,505
LiveBench long agentic 18.9% $4.8336 per task Output tokens per task 133,814
LiveBench design 60.3% $0.3559 per task Output tokens per task 32,098
Terminal-Bench 4 (Vals AI) 6.6% $7.26 per test Duration, as printed 2h 04m
Vibe Code Bench (Vals AI) 76.2% $1.66 per test Duration, as printed 31m 09s
Code migration (Vals AI) 21.2% $9.04 per test Duration, as printed 1h 53m
Finance Agent (Vals AI) 61.3% $0.77 per test Duration, as printed 24m 13s
11 more boards
What each board publishes about the runs behind Meta: Muse Spark Open's results, continued
Tax Agent Bench (Vals AI) 26.3% $0.88 per test Duration, as printed 11m 42s
Legal Research Bench (Vals AI) 38.5% $1.56 per test Duration, as printed 29m 23s
Harvey's Legal Agent Benchmark (Vals AI) 25.0% $13.63 per test Duration, as printed 3h 59m
Excel Modeling Benchmark (Vals AI) 53.7% $5.35 per test Duration, as printed 1h 25m
ALE-Bench 1590.1 $0.3255 per problem Tokens per problem 99,073
LMArena WebDev 1528 Elo Not published Votes 1,380 · Interval (±) ±17.0
Design Arena: websites 1317 Elo Not published Battles 308
Design Arena: game dev 1294 Elo Not published Battles 241
APEX-Agents 33.4% Not published Mean score 48.7%
LMArena WebDev: React 1529 Elo Not published Votes 864 · Interval (±) ±21.9
LMArena WebDev: HTML 1495 Elo Not published Votes 173 · Interval (±) ±48.6

On these lists

Compare with models of a similar score

All 95 comparisons for Muse Spark Open