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Muse Spark 1.2 (xhigh)

deprecated by benchmark source
Meta · released 2026-08-05 · 1 offers

Output 231 tokens/sFirst token 8.8 sContext 1M tokens

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Composite

7 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one

73.8

includes −8.5 for its Benchmaxxing signal (from 82.3; why, switch off in Options)

Benchmaxxing signal +8.5, medium Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · medium report →The 80 % interval reaches below zero — treat this tag as uncertain.

AA CodingCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding: percentile 86Coding Agent v1.4: percentile 64AA Intelligence: percentile 94AA Agentic: percentile 86Epoch ECI: percentile 69Software ECI: percentile 55DesignArena: percentile 53

AA Coding 72.2Coding Agent v1.4 60.3AA Intelligence 39.8AA Agentic 44.0Epoch ECI 155.5Software ECI 154.4DesignArena 1240/1219

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

31 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
  • DesignArena Web Apps (agentic) · attached
  • DesignArena Full-Stack · attached
Compare this model →

Agentic

  • AA-Briefcase781,344 Elo

    AA-Briefcase published 2026-09-10 · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v2881,523 Elo

    GDPval-AA v2 v2 · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench v2.1 (AA)8180.1%

    Terminal-Bench v2.1 (AA) v2.1 · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)667.1%

    Terminal-Bench v4.0 (AA) v4.0 · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • Vals Index v2 (Vals AI)5057.1%

    Vals Index v2 (Vals AI) v2 · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.

  • Finance Agent v2 (Vals Index v2)9760.6%

    Finance Agent v2 (Vals Index v2) v2 · Published board — Multi-step financial reasoning tasks.

  • Terminal-Bench 2.1 (Vals Index v2)4369.7%

    Terminal-Bench 2.1 (Vals Index v2) v2 · Published board — Command-line interface problem solving, as run by Vals AI.

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)10025.4%

    HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 · Published board — Long-horizon legal work product creation. Vals AI's run of Harvey's Legal Agent Benchmark, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.

  • AA Agentic Index8644.0

    AA Agentic Index published 2026-09-18 · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

  • Artificial Analysis Coding Agent Index v1.4no percentile61.6%

    Artificial Analysis Coding Agent Index v1.4 v1.4 · Muse Code — The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.

  • Artificial Analysis Coding Agent Index v1.46058.9%

    Artificial Analysis Coding Agent Index v1.4 v1.4 · Opencode — The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.

  • SciCode (AA subproblems) v1.0.19357.4%

    SciCode (AA subproblems) v1.0.1 · Published board — Tests scientific Python programming with scientist-annotated background information.

  • Vibe Code Bench (Vals Index v2)7179.1%

    Vibe Code Bench (Vals Index v2) v2 · Published board — End-to-end app-building tasks.

  • Code Migration (Vals Index v2 subset)3429.4%

    Code Migration (Vals Index v2 subset) v2 · Published board — Porting projects to another language, including COBOL modernization.

  • DeepSWE (Datacurve, via Epoch AI)4454.9%

    DeepSWE (Datacurve, via Epoch AI) published 2026-09-15 · mini-swe-agent — Pass rate of coding agents on original, long-horizon software engineering tasks, run by Datacurve with the mini-swe-agent harness.

  • FrontierSWE v21412.0%

    FrontierSWE v2 v2 · proximus — 34 hand-written real-world software tasks: each model attempts every task in its own CLI agent harness for 5 trials per task under a 20-hour budget, scored by the site’s own review protocol; the headline value is mean@5 in percent with best@5/worst@5 bounds.

  • AA Coding Index8672.2

    AA Coding Index published 2026-09-19 · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

  • DesignArena Web Apps (agentic)701,240 Elo

    DesignArena Web Apps (agentic) published 2026-09-19 · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

  • DesignArena Full-Stack611,219 Elo

    DesignArena Full-Stack published 2026-09-19 · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

Efficiency

Knowledge

Long-context

  • GDP.pdf (AA)7017.4%

    GDP.pdf (AA) published 2026-09-10 · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.18679.0%

    AA-LCR v1.1 v1.1 · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • MLCR-AA8231.1%

    MLCR-AA published 2026-09-10 · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.

Reasoning

Safety/Alignment

Science

Tool-use

  • AutomationBench-AA v1.0.66540.6%

    AutomationBench-AA v1.0.6 · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • EnterpriseOps-Gym-AA8547.3%

    EnterpriseOps-Gym-AA published 2026-09-10 · Published board — Tests enterprise workflows through MCP tools against resettable application environments.

  • τ³-Banking (AA) v1.0.17734.8%

    τ³-Banking (AA) v1.0.1 · Published board — Tests banking support agents that retrieve policies and change account state through tools.

  • Excel Modeling Benchmark (Vals Index v2)3457.0%

    Excel Modeling Benchmark (Vals Index v2) v2 · Published board — Building and editing financial models in spreadsheets.

Unusual results

1 threshold-crossing signal flagged · 32 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually strong HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)
    Why
    Observed: 25.417 percent
    Peer mean 7.76518 · peer sd 6.77375 · n 33 · families 32
    Directed z 2.606 · baseline z 0.809 · gap 1.797 · profile n 31
    25.417 percentmeasuredobserved 2026-09-18vals.ai
    Evidence
    Axis: HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) · v2 · Published board
    Exact value: 25.417 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:93fa1930ed9af25c5898f2f6
Missing coverage · 110 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

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Muse Spark 1.2 (xhigh) — benchmarks & cost | Benchmark Heaven