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Claude Opus 5 vs Muse Spark Open 816B A42B

Full profiles: Claude Opus 5 (Anthropic) and Muse Spark Open 816B A42B (Meta): every benchmark, price and rank.

Updated · Data from 11 sources

As of 29 Oct 2026, Claude Opus 5 is ahead of Muse Spark Open 816B A42B on quality (65.4 vs 58.5 on the BenchLeader Index), but Muse Spark Open 816B A42B is 5.0× cheaper at $2.00 vs $10.00 per 1M tokens blended. Claude Opus 5 leads in every category we measure both in.

Key facts (as of 29 Oct 2026)

  • Claude Opus 5 scores 65.4 on the BenchLeader Index and Muse Spark Open 816B A42B scores 58.5 (BenchLeader, 29 Oct 2026).
  • Claude Opus 5 costs $10.00 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 6 benchmarks both models have, Claude Opus 5 leads 5 (BenchLeader, 29 Oct 2026).
Claude Opus 5 benchmarks max Anthropic Muse Spark Open 816B A42B benchmarks xhigh MetaOpen in the comparison tool

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 Opus 570 vs 66 category score; SciCode 56.4% vs 58.5%Medium
MathsClaude Opus 570 vs 59 category score; FrontierMath Tiers 1–3 85.6% vs 69.8%High
ReasoningClaude Opus 569 vs 64 category score; GPQA Diamond 93.9% vs 88.6%Medium
KnowledgeClaude Opus 565 vs 62 category score; SimpleQA Verified 59.9% vs 56.6%Medium
Chat quality (human preference)–Only Claude Opus 5 has an Arena rating (68 category score)Not comparable
Lowest costMuse Spark Open 816B A42B$2.00 vs $10.00 per 1M blended; agentic coding session $0.092 vs $0.400–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Claude Opus 5 (max) leads on quality: 65.4 vs 58.5.
  • Claude Opus 5 (max) is stronger in agents & tools, coding, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Muse Spark Open 816B A42B (xhigh) is 5.0× cheaper ($2.00 vs $10.00 per 1M blended).

At a glance

SpecClaude Opus 5Muse Spark Open 816B A42B
DeveloperAnthropicMeta
Released24 Jul 202615 Oct 2026
Context window (tokens)1,000,0001,048,576
Compared atClaude Opus 5 (max)Muse Spark Open 816B A42B (xhigh)
Open weightsNoYes
Price in / out / cached input per 1M$5.00 / $25.00 / $0.500$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 Opus 5 (max)Muse Spark Open 816B A42B (xhigh)Leader
Reasoning69.263.6Claude Opus 5
Coding69.965.5Claude Opus 5
Agents & tools64.2–not comparable
Maths70.359.4Claude Opus 5
Knowledge65.062.2Claude Opus 5
Human preference68.3–not comparable
Multimodal67.6–not comparable
Long context64.5–not comparable

Where sources disagree

Across the 6 benchmarks both have, Claude Opus 5 leads 5, Muse Spark Open 816B A42B leads 1. Every overall index that rates both puts Claude Opus 5 ahead.

Overall indexClaude Opus 5 (max)Muse Spark Open 816B A42B (xhigh)Leader
BenchLeader Index65.458.5Claude Opus 5

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 Opus 5 (max)Muse Spark Open 816B A42B (xhigh)
Blended price per 1M tokens$10.00$2.00
Input / output per 1M$5.00 / $25.00$1.25 / $4.25
Cached input per 1M$0.500$0.150
Price per task: chat reply$0.0095$0.0018
Price per task: summarize a 30-page report$0.075$0.018
Price per task: code edit$0.068$0.014
Price per task: agentic coding session$0.400$0.092
Price per task: structured extraction$0.015$0.0034
Output speed56 tok/s–
Time to first answer43.9 s–
Time to a complete answer52.8 s–

Each model is compared at its best-ranked reasoning-effort setting. Claude Opus 5 (max) scores 65.4 and takes 44 s to its first answer token; Claude Opus 5 scores 65.2 in 3 s, Claude Opus 5 (high) scores 64.4 in 14 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

119 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 Opus 5 (max)Muse Spark Open 816B A42B (xhigh)
BenchLeader IndexBenchLeader65.458.5
Agents & tools scoreBenchLeader64.2–
Coding scoreBenchLeader69.965.5
Human preference scoreBenchLeader68.3–
Knowledge scoreBenchLeader65.062.2
Long context scoreBenchLeader64.5–
Maths scoreBenchLeader70.359.4
Multimodal scoreBenchLeader67.6–
Reasoning scoreBenchLeader69.263.6
Blended price $/MBenchLeader$10.00$2.00
Output speedBenchLeader56 tok/s–
Time to first answerBenchLeader43.9 s–
Context windowBenchLeader1,000,000 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub93.9%88.6%
SimpleBenchSimpleBench80.6%†–
Arena Hard PromptsArena (LMArena)1515–
LiveBench 1.0 ReasoningLiveBench91.2%–
GPQA Diamond (AA)Artificial Analysis93.2%–
Humanity's Last Exam (AA)Artificial Analysis54.9%–
GPQA Diamond (Vals)Vals AI93.4%†–
ARC-AGI-1ARC Prize97.5%–
ARC-AGI-2ARC Prize90.4%–
ARC-AGI-3ARC Prize30.2%†–
CritPtArtificial Analysis29.1%–
MysteryMechanismVals AI37.4%†–
Chess PuzzlesEpoch AI Benchmarking Hub43.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub59.0%–
LMCAEpoch AI Benchmarking Hub63.3%–
DTBenchEpoch AI Benchmarking Hub97.6%–
ForecastBenchForecastBench66.5%–
BTF-3Epoch AI Benchmarking Hub12.0%†–
Coding
SciCodeSciCode56.4%58.5%
WeirdMLWeirdML91.8%–
FrontierCodeCognition53.4%–
Arena CodingArena (LMArena)1528–
Arena WebDevArena (LMArena)1691–
LiveBench 1.0 CodingLiveBench81.5%–
SciCode (AA)Artificial Analysis56.4%–
Show all 119 benchmarks
MetricPublisherClaude Opus 5 (max)Muse Spark Open 816B A42B (xhigh)
Coding
LiveCodeBenchVals AI89.0%†–
IOIVals AI84.3%†–
SWE-bench (Vals)Vals AI97.0%†–
Code MigrationVals AI57.5%†–
ProgramBenchVals AI3.0%†–
Vibe Code Bench 1-100Vals AI28.5%†–
Vibe Code Bench v1.1Vals AI88.4%†–
SWE Atlas: Codebase QnAScale AI SEAL63.2%†–
SWE Atlas: Test WritingScale AI SEAL62.2%†–
DeepSWE v1.1Epoch AI Benchmarking Hub73.7%–
CursorBenchCursor46.6%–
ALE-BenchEpoch AI Benchmarking Hub2164.6†1590.1
FrontierSWEEpoch AI Benchmarking Hub52.0%–
Terminal-Bench 4.0 (AA)Artificial Analysis49.0%–
Terminal-Bench 2.1 (AA)Artificial Analysis89.1%–
Startrise FrontendStartrise82.3%†–
Agents & tools
Terminal-BenchTerminal-Bench51.8%–
OSWorld-Verified 2.0OSWorld31.4%–
APEX-AgentsMercor65.8%33.4%†
Arena AgentArena (LMArena)7.6–
LiveBench Agentic CodingLiveBench65.2%–
Terminal-Bench 2.1 (Vals)Vals AI84.6%†–
MCP AtlasScale AI SEAL85.8%†–
HiL-BenchScale AI SEAL57.0%†–
τ³-bench Bankingτ²-bench48.7%–
τ³-Banking (AA)Artificial Analysis42.1%–
Analyst Agent (AA)Artificial Analysis53.8%–
CUA-benchVals AI9.0%–
CyberBenchVals AI65.4%†–
Finance Agent v2Vals AI58.6%†–
Harvey's Legal Agent Benchmark v1Vals AI6.7%†–
Legal Research BenchVals AI55.3%†–
SkillsBenchVals AI60.4%†–
SREBenchVals AI12.2%†–
Tax Agent BenchVals AI45.5%†–
Terminal-Bench 4.0 (Vals)Vals AI53.5%†–
Terminal-Bench ScienceVals AI27.1%†–
Time Horizon Index: KSPVals AI18.8%†–
Arena SearchArena (LMArena)1214†–
BALROGBALROG63.4%–
PostTrainBenchEpoch AI Benchmarking Hub35.0%†–
GBAEvalEpoch AI Benchmarking Hub79.6%†–
Vending-Bench 2Andon Labs11181.9†–
AutomationBenchArtificial Analysis56.6%–
GDP.pdf (AA)Artificial Analysis21.6%–
EnterpriseOps-GymArtificial Analysis47.5%–
AA-Briefcase v1.1Artificial Analysis1655–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis28.6%–
DeepSec-Bench (AA)Artificial Analysis25.9%–
FACTS SearchGoogle85.3%†–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub85.6%69.8%
FrontierMath Tier 4Epoch AI Benchmarking Hub73.2%31.7%
OTIS Mock AIMEEpoch AI Benchmarking Hub98.9%98.1%
ProofBenchVals AI99.0%–
LiveBench MathematicsLiveBench95.7%–
Arena MathsArena (LMArena)1515–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub59.9%56.6%
LiveBench 1.0 Data AnalysisLiveBench74.5%–
MMLU-ProVals AI91.6%†–
LegalBenchVals AI87.0%†–
CorpFinVals AI73.2%†–
TaxEvalVals AI75.1%†–
BioMysteryBenchVals AI79.3%†–
Excel Modeling BenchmarkVals AI73.6%†–
MedCodeVals AI63.6%†–
MedScribeVals AI91.0%†–
Public Benefits Bench v1.1Vals AI76.9%†–
DrugDiscoveryBenchScale AI SEAL53.7%–
EBR-benchEpoch AI Benchmarking Hub45.7%–
GDP.pdfEpoch AI Benchmarking Hub24.0%–
Instruction following
LiveBench LanguageLiveBench88.7%–
LiveBench Instruction FollowingLiveBench63.8%–
Arena Instruction FollowingArena (LMArena)1495–
Human preference
Arena TextArena (LMArena)1491–
EQ-Bench 4EQ-Bench1365†–
Arena Creative WritingArena (LMArena)1474–
Arena Multi-turnArena (LMArena)1486–
Arena Longer QueriesArena (LMArena)1502–
Multimodal
Arena VisionArena (LMArena)1320†–
MMMU-ProArtificial Analysis84.7%–
MMMU-Pro (Vals)Vals AI89.9%†–
MortgageTaxVals AI72.1%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub30.4%†–
Long context
AA-LCR v1.1Artificial Analysis79.3%–
Arena DocumentArena (LMArena)1490†–
MLCRArtificial Analysis11.1%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub163.8†–
LiveBench 1.0LiveBench80.1%–
AA Intelligence Index v4.3.2Artificial Analysis50.8–
AA Progress Index v1Artificial Analysis333.7–
Vals RSI IndexVals AI33.0%–
Vals Science IndexVals AI47.9%†–
Vals Multimodal IndexVals AI73.9%†–
Safety & honesty
FORTRESSScale AI SEAL16.8%†–

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

What changed

  • Claude Opus 5 (max): 1 score revision.
  • Claude Opus 5 (max): BenchLeader Index 66.3 → 65.5.
  • Claude Opus 5 (max): 1 new result (AA Progress Index v1).
  • Claude Opus 5 (max): BenchLeader Index 66.8 → 66.3.
  • Claude Opus 5 (max): 1 new result (Vals RSI Index).
  • Claude Opus 5 (max): 1 score revision.
  • Claude Opus 5 (max): 1 new result (ForecastBench); 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).
  • Claude Opus 5 (max): 4 new results (GDPval-AA v2.1, normalised score, AA-Omniscience v1.1: accuracy, AA-Omniscience v1.1: non-hallucination…).

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

Claude Opus 5 vs Muse Spark Open 816B A42B: questions

Is Claude Opus 5 better than Muse Spark Open 816B A42B?
Claude Opus 5 (max) leads on quality: 65.4 vs 58.5. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5 (max) is ahead overall as of 29 Oct 2026, but check the category scores for your use.
Claude Opus 5 vs Muse Spark Open 816B A42B: which is cheaper, and will that change?
Muse Spark Open 816B A42B is cheaper today: $2.00 against $10.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Claude Opus 5 or Muse Spark Open 816B A42B better for coding?
Claude Opus 5 scores higher in coding (70 vs 66 on the category index, where 50 is average). On SciCode, the top shared coding benchmark, it is 56.4% for Claude Opus 5 against 58.5% for Muse Spark Open 816B A42B.
Which is better for long documents?
Both take about 1M tokens: Claude Opus 5 1,000,000, Muse Spark Open 816B A42B 1,048,576.
Do independent benchmarks agree on Claude Opus 5 vs Muse Spark Open 816B A42B?
Across the 6 benchmarks both have, Claude Opus 5 leads 5, Muse Spark Open 816B A42B leads 1. Every overall index that rates both puts Claude Opus 5 ahead.
More questions (1)
When was Muse Spark Open 816B A42B released?
Muse Spark Open 816B A42B was released on 15 Oct 2026.