BenchLeader

Claude Fable 5.1 vs Muse Spark Open 816B A42B

Full profiles: Claude Fable 5.1 (Anthropic) and Muse Spark Open 816B A42B (Meta): every benchmark, price and rank.

Updated · Data from 9 sources

As of 29 Oct 2026, Claude Fable 5.1 is ahead of Muse Spark Open 816B A42B on quality (67.0 vs 58.5 on the BenchLeader Index), but Muse Spark Open 816B A42B is 10× cheaper at $2.00 vs $20.00 per 1M tokens blended. Claude Fable 5.1 leads in every category we measure both in.

Key facts (as of 29 Oct 2026)

  • Claude Fable 5.1 scores 67.0 on the BenchLeader Index and Muse Spark Open 816B A42B scores 58.5 (BenchLeader, 29 Oct 2026).
  • Claude Fable 5.1 costs $20.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Muse Spark Open 816B A42B costs $2.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Of the 5 benchmarks both models have, Claude Fable 5.1 leads 5 (BenchLeader, 29 Oct 2026).

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingClaude Fable 5.171 vs 66 category score; SciCode 63.1% vs 58.5%Medium
MathsClaude Fable 5.173 vs 59 category score; FrontierMath Tiers 1–3 90.2% vs 69.8%High
ReasoningClaude Fable 5.171 vs 64 category scoreMedium
KnowledgeClaude Fable 5.173 vs 62 category score; SimpleQA Verified 70.8% vs 56.6%High
Chat quality (human preference)–Only Claude Fable 5.1 has an Arena rating (70 category score)Not comparable
Lowest costMuse Spark Open 816B A42B$2.00 vs $20.00 per 1M blended; agentic coding session $0.092 vs $0.800–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Claude Fable 5.1 (max) leads on quality: 67.0 vs 58.5.
  • Claude Fable 5.1 (max) is stronger in agents & tools, coding, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Muse Spark Open 816B A42B (xhigh) is 10× cheaper ($2.00 vs $20.00 per 1M blended).

At a glance

SpecClaude Fable 5.1Muse Spark Open 816B A42B
DeveloperAnthropicMeta
Released1 Sept 202615 Oct 2026
Context window (tokens)1,000,0001,048,576
Compared atClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)
Open weightsNoYes
Price in / out / cached input per 1M$10.00 / $50.00 / $0.250$1.25 / $4.25 / $0.150

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)Leader
Reasoning70.863.6Claude Fable 5.1
Coding70.765.5Claude Fable 5.1
Agents & tools60.5–not comparable
Maths72.659.4Claude Fable 5.1
Knowledge72.962.2Claude Fable 5.1
Human preference69.9–not comparable
Multimodal67.1–not comparable
Long context67.6–not comparable

Where sources disagree

Across the 5 benchmarks both have, Claude Fable 5.1 leads 5, Muse Spark Open 816B A42B leads 0. Every overall index that rates both puts Claude Fable 5.1 ahead.

Overall indexClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)Leader
BenchLeader Index67.058.5Claude Fable 5.1

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)
Blended price per 1M tokens$20.00$2.00
Input / output per 1M$10.00 / $50.00$1.25 / $4.25
Cached input per 1M$0.250$0.150
Price per task: chat reply$0.019$0.0018
Price per task: summarize a 30-page report$0.150$0.018
Price per task: code edit$0.135$0.014
Price per task: agentic coding session$0.800$0.092
Price per task: structured extraction$0.030$0.0034
Cost to run a full benchmark suite$12.99–
Output speed66 tok/s–
Time to first answer179.6 s–
Time to a complete answer187.2 s–

Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5.1 (max) scores 67.0 and takes 180 s to its first answer token; Claude Fable 5.1 scores 66.4 in 3 s, Claude Fable 5.1 (xhigh) scores 64.9 in 58 s. Muse Spark Open 816B A42B (xhigh) scores 58.5. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

135 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)
BenchLeader IndexBenchLeader67.058.5
Agents & tools scoreBenchLeader60.5–
Coding scoreBenchLeader70.765.5
Human preference scoreBenchLeader69.9–
Knowledge scoreBenchLeader72.962.2
Long context scoreBenchLeader67.6–
Maths scoreBenchLeader72.659.4
Multimodal scoreBenchLeader67.1–
Reasoning scoreBenchLeader70.863.6
Blended price $/MBenchLeader$20.00$2.00
Output speedBenchLeader66 tok/s–
Time to first answerBenchLeader179.6 s–
Context windowBenchLeader1,000,000 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub–88.6%
Humanity's Last ExamScale AI / CAIS46.5%†–
Arena Hard PromptsArena (LMArena)1523–
LiveBench 2.0 ReasoningLiveBench91.7%†–
LiveBench 1.0 ReasoningLiveBench91.7%–
GPQA Diamond (AA)Artificial Analysis93.7%–
Humanity's Last Exam (AA)Artificial Analysis59.1%–
HLE-Diamond (AA)Artificial Analysis60.1%–
GPQA Diamond (Vals)Vals AI93.4%†–
ARC-AGI-1ARC Prize97.5%–
ARC-AGI-2ARC Prize90.0%–
CritPtArtificial Analysis29.7%–
CritPt v2 hard subset (AA)Artificial Analysis51.0%–
MysteryMechanismVals AI47.8%†–
Chess PuzzlesEpoch AI Benchmarking Hub48.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%–
LMCAEpoch AI Benchmarking Hub65.5%†–
DTBenchEpoch AI Benchmarking Hub97.6%†–
Coding
SciCodeSciCode63.1%58.5%
WeirdMLWeirdML92.9%–
FrontierCodeCognition50.9%†–
GSO-BenchGSO-Bench88.2%†–
Arena CodingArena (LMArena)1538–
Arena WebDevArena (LMArena)1745–
LiveBench 2.0 CodingLiveBench97.7%†–
Show all 135 benchmarks
MetricPublisherClaude Fable 5.1 (max)Muse Spark Open 816B A42B (xhigh)
Coding
LiveBench 1.0 CodingLiveBench86.4%–
SciCode (AA)Artificial Analysis63.1%–
LiveCodeBenchVals AI90.5%†–
IOIVals AI90.8%†–
Code MigrationVals AI54.6%†–
ProgramBenchVals AI7.0%†–
SWE-bench MultimodalVals AI61.3%†–
Vibe Code Bench 1-100Vals AI28.0%†–
Vibe Code Bench v1.1Vals AI90.3%†–
SWE Atlas: Codebase QnAScale AI SEAL60.0%†–
SWE Atlas: RefactoringScale AI SEAL56.7%†–
SWE Atlas: Test WritingScale AI SEAL67.0%†–
MirrorCodeEpoch AI Benchmarking Hub73.3%†–
CursorBenchCursor51.8%–
ALE-BenchEpoch AI Benchmarking Hub2143.2†1590.1
FrontierSWEEpoch AI Benchmarking Hub56.3%–
Terminal-Bench 4.0 (AA)Artificial Analysis52.0%–
Terminal-Bench 2.1 (AA)Artificial Analysis91.4%–
Startrise FrontendStartrise77.1%†–
FrontierCode 1.1 (AA)Artificial Analysis49.0%–
FrontierCode 2.0 (AA)Artificial Analysis31.6%–
Agents & tools
Terminal-BenchTerminal-Bench57.9%–
Remote Labor IndexScale AI / CAIS17.9%†–
APEX-AgentsMercor68.6%†33.4%†
Arena AgentArena (LMArena)13.9–
LiveBench Long AgenticLiveBench77.9%†–
LiveBench BrowserLiveBench89.8%†–
LiveBench Agentic CodingLiveBench66.1%–
Terminal-Bench 2.1 (Vals)Vals AI85.0%†–
MCP AtlasScale AI SEAL87.2%†–
HiL-BenchScale AI SEAL61.5%†–
GDPval-AA v2.1, normalised scoreArtificial Analysis62.7%–
GDPval-AA v2.1Artificial Analysis1764–
τ³-Banking (AA)Artificial Analysis47.2%–
ITBench SRE (AA)Artificial Analysis49.5%–
Analyst Agent (AA)Artificial Analysis57.5%–
CUA-benchVals AI13.2%–
CyberBenchVals AI70.4%†–
Finance Agent v2Vals AI58.9%†–
Harvey's Legal Agent Benchmark v1Vals AI6.7%†–
Legal Research BenchVals AI55.3%†–
Robo-benchVals AI5.8%–
SkillsBenchVals AI61.5%†–
SREBenchVals AI22.9%†–
Tax Agent BenchVals AI49.2%†–
Terminal-Bench 4.0 (Vals)Vals AI58.1%†–
Terminal-Bench ScienceVals AI40.0%†–
Time Horizon Index: KSPVals AI63.3%†–
Arena SearchArena (LMArena)1233†–
Vending-Bench 2Andon Labs5421.6†–
AutomationBenchArtificial Analysis59.4%–
GDP.pdf (AA)Artificial Analysis26.2%–
Harvey LAB-AA v1.1Harvey6.4%–
AA-Briefcase v1.1Artificial Analysis1669–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis43.3%–
CWE-Bench (AA)Artificial Analysis50.8%–
DeepSec-Bench (AA)Artificial Analysis23.5%–
CyberGym end-to-end (AA)Artificial Analysis0.8%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub90.2%69.8%
FrontierMath Tier 4Epoch AI Benchmarking Hub87.8%31.7%
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%98.1%
ProofBenchVals AI100.0%–
LiveBench MathematicsLiveBench97.0%–
Arena MathsArena (LMArena)1529–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.8%56.6%
LiveBench 2.0 Data AnalysisLiveBench80.3%†–
LiveBench ResearchLiveBench82.0%†–
LiveBench 1.0 Data AnalysisLiveBench80.3%–
AA-Omniscience v1.1Artificial Analysis46.3–
MMLU-ProVals AI92.4%†–
LegalBenchVals AI88.5%†–
TaxEvalVals AI76.0%†–
PRBench FinanceScale AI SEAL50.8%†–
PRBench LegalScale AI SEAL51.6%†–
Excel Modeling BenchmarkVals AI76.7%†–
Excel Modeling Benchmark v1.1Vals AI76.7%†–
MedCodeVals AI53.5%†–
MedScribeVals AI91.3%†–
Public Benefits Bench v1.1Vals AI74.9%†–
EBR-benchEpoch AI Benchmarking Hub57.1%–
GDP.pdfEpoch AI Benchmarking Hub27.6%–
AA-Omniscience v1.1: accuracyArtificial Analysis68.4%–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis30.0%–
HealthBench Professional (AA)OpenAI57.8%–
Instruction following
LiveBench LanguageLiveBench89.5%–
LiveBench Instruction FollowingLiveBench73.0%–
Arena Instruction FollowingArena (LMArena)1501–
Human preference
Arena TextArena (LMArena)1503–
Arena Creative WritingArena (LMArena)1487–
Arena Multi-turnArena (LMArena)1488–
Arena Longer QueriesArena (LMArena)1511–
Multimodal
Arena VisionArena (LMArena)1320–
LiveBench DesignLiveBench83.4%†–
MMMU-Pro (Vals)Vals AI90.6%†–
MortgageTaxVals AI70.8%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub41.9%†–
Code2Video-AAArtificial Analysis1325–
AA-3DArtificial Analysis1135–
Long context
AA-LCR v1.1Artificial Analysis85.3%–
Arena DocumentArena (LMArena)1493–
MLCRArtificial Analysis15.6%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.5†–
LiveBench 2.0LiveBench85.7%†–
LiveBench 1.0LiveBench83.4%–
AA Intelligence Index v5.0Artificial Analysis49.0–
AA Intelligence Index v4.3.2Artificial Analysis53.4–
AA Progress Index v1Artificial Analysis340.8–
Vals RSI IndexVals AI36.1%–
AA Cyber IndexArtificial Analysis25.0–
Safety & honesty
FORTRESSScale AI SEAL13.7%†–

Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Claude Fable 5.1 (max): BenchLeader Index 67.9 → 67.1.
  • Claude Fable 5.1 (max): 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 3 score revisions; cost per task moved from $7.63/M to $13.04/M (71% up).
  • Claude Fable 5.1 (max): 2 new results (Robo-bench, Vals RSI Index).
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • Muse Spark Open 816B A42B (xhigh): BenchLeader Index 57.4 → 58.6.
  • Muse Spark Open 816B A42B (xhigh): 2 new results (SciCode, ALE-Bench).
  • Muse Spark Open 816B A42B (xhigh): first results.
  • Claude Fable 5.1 (max): 2 score revisions.
  • Claude Fable 5.1 (max): 1 score revision.

Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs

Claude Fable 5.1 vs Muse Spark Open 816B A42B: questions

Is Claude Fable 5.1 better than Muse Spark Open 816B A42B?
Claude Fable 5.1 (max) leads on quality: 67.0 vs 58.5. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.1 (max) is ahead overall as of 29 Oct 2026, but check the category scores for your use.
Claude Fable 5.1 vs Muse Spark Open 816B A42B: which is cheaper, and will that change?
Muse Spark Open 816B A42B is cheaper today: $2.00 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Claude Fable 5.1 or Muse Spark Open 816B A42B better for coding?
Claude Fable 5.1 scores higher in coding (71 vs 66 on the category index, where 50 is average). On SciCode, the top shared coding benchmark, it is 63.1% for Claude Fable 5.1 against 58.5% for Muse Spark Open 816B A42B.
Which is better for long documents?
Both take about 1M tokens: Claude Fable 5.1 1,000,000, Muse Spark Open 816B A42B 1,048,576.
Do independent benchmarks agree on Claude Fable 5.1 vs Muse Spark Open 816B A42B?
Across the 5 benchmarks both have, Claude Fable 5.1 leads 5, Muse Spark Open 816B A42B leads 0. Every overall index that rates both puts Claude Fable 5.1 ahead.
More questions (1)
When was Muse Spark Open 816B A42B released?
Muse Spark Open 816B A42B was released on 15 Oct 2026.