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AI Model · OpenAI

GPT-5.6 Luna on finance benchmarks

It is the best-ranked OpenAI entry on Finance Agent v2 and one of the cheapest models in the top 25.

What it is

GPT-5.6 Luna is an OpenAI model released July 9, 2026, with a 1M-token context window, run by Vals AI at max reasoning effort.

Model facts as listed by Vals AI
DeveloperOpenAI
Release dateJul 9, 2026
Context window1M tokens
WeightsPrivate
Public API price$0.20 input / $1.20 output per million tokens, listed (source)

What published results say

Finance benchmark scores (Vals AI)
BenchmarkScoreRankContext
Finance Agent v255.04%#22 of 78Context: n=450 test questions, 3 runs · Oct 12, 2026 leaderboard · Vals AI · ±0.31 SEM
Excel Modeling Benchmark67.12%#17 of 74Context: n=51 test tasks · Oct 12, 2026 leaderboard · Vals AI · ±2.94 as published, type not stated
Tax Agent Bench24.82%#37 of 69Context: n=193 test questions · Oct 12, 2026 leaderboard · Vals AI · ±3.11 as published, type not stated
  • Finance Agent v2 cost and time per task: $0.28, 12m52s.

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

  • On Tax Agent Bench it timed out on 8 of 193 test questions (4.1%) Context: n=193 test questions · Oct 12, 2026 leaderboard · Vals AI · not applicable (count), and each timeout scores zero.
  • GPT-5.4, an earlier OpenAI model, sits on the Finance Agent v2 jury.
  • 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.