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AI Model · Meta

Muse Spark 1.2 on finance benchmarks

It is third on Finance Agent v2 under the main partial-credit score, first under the strict All-Pass score, and it leads the hardest category, financial modeling.

What it is

Muse Spark 1.2 is a Meta model released August 5, 2026, with a 1M-token context window. Vals AI ran it at its highest reasoning setting (xhigh). Developer documentation listed by Vals: dev.meta.ai.

Model facts as listed by Vals AI
DeveloperMeta
Release dateAug 5, 2026
Context window1M tokens
WeightsPrivate
Public API price$1.25 input / $4.25 output per million tokens, listed (source)

What published results say

Finance benchmark scores (Vals AI)
BenchmarkScoreRankContext
Finance Agent v260.60%#3 of 78Context: n=450 test questions, 3 runs · Oct 12, 2026 leaderboard · Vals AI · ±0.28 SEM
Excel Modeling Benchmark56.98%#42 of 74Context: n=51 test tasks · Oct 12, 2026 leaderboard · Vals AI · ±3.13 as published, type not stated
Tax Agent Bench32.80%#15 of 69Context: n=193 test questions · Oct 12, 2026 leaderboard · Vals AI · ±2.75 as published, type not stated
  • Leads the Financial Modeling category of Finance Agent v2 (DCF, LBO, accretion and dilution) at 34.5% Context: n: not disclosed per category · Oct 12, 2026 leaderboard · Vals AI · margin: not disclosed.
  • Strict All-Pass score on Finance Agent v2 (every check must pass): 50.88% Context: n=450 test questions, 3 runs · Oct 12, 2026 leaderboard · Vals AI · margin: not disclosed
  • Finance Agent v2 cost and time per task: $0.77, 5m04s.

What the benchmarks test: FAB v2, filing-based analyst research questions; EMB, building Excel financial models (LBO, DCF, M&A, comps); Tax Agent, research-grade US corporate tax questions, all-or-nothing grading. All three use held-out test sets and AI judges.

Limits

  • Excel modeling is a weak spot: 42nd of 74 on the Excel Modeling Benchmark.
  • Its financial modeling category lead on Finance Agent v2 is 34.5% Context: n: not disclosed per category · Oct 12, 2026 leaderboard · Vals AI · margin: not disclosed, which means most modeling answers still miss.
  • Benchmarks measure research and modeling answers, not trading results.

Head-to-head

Primary sources

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Last verified: . Prices and scores change; check the primary source before relying on them. We have no affiliate links and receive nothing from the companies listed. Every percentage carries its sample size, period and source (no naked percentages).

Not financial advice. For information and education only. Benchmark scores and vendor descriptions are not trading results and do not predict returns. Nothing here is a recommendation to buy or sell any asset or to subscribe to any product. See our disclaimer.