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AI Model · Ant Group

Ling 3.0 Flash Fin on finance benchmarks

It is the cheapest model in the Finance Agent v2 top 25 at $0.04 per test.

What it is

Ling 3.0 Flash Fin is an open-weight, finance-labeled model from Ant Group, released September 3, 2026. It accepts text input only and has a 262k-token context window.

Model facts as listed by Vals AI
DeveloperAnt Group
Release dateSep 3, 2026
Context window262k tokens
WeightsOpen
Public API price$0.06 input / $0.18 output per million tokens, listed (source)

What published results say

Finance benchmark scores (Vals AI)
BenchmarkScoreRankContext
Finance Agent v254.93%#23 of 78Context: n=450 test questions, 3 runs · Oct 12, 2026 leaderboard · Vals AI · ±0.68 SEM
Excel Modeling Benchmark36.83%#60 of 74Context: n=51 test tasks · Oct 12, 2026 leaderboard · Vals AI · ±3.33 as published, type not stated
Tax Agent Bench20.60%#44 of 69Context: n=193 test questions · Oct 12, 2026 leaderboard · Vals AI · ±2.91 as published, type not stated
  • Finance Agent v2 cost and time per task: $0.04, 6m15s.

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

  • The finance label does not carry over to modeling: 60th of 74 on the Excel Modeling Benchmark and 44th of 69 on Tax Agent Bench.
  • Text only: no image, video or file input, according to Vals.
  • Vals shows no Vals Index score for it.
  • 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.