Ant Group's Ling-3.0-flash-Fin matches MiniMax-M2.7 with half the active parameters
ArtificialAnlys · x · 2026-09-16
Ant Group's Ling team released Ling-3.0-flash-Fin, a finance-focused open-weights model built with financial institutions for research, source-checking, valuation spreadsheets, and report writing.
- Specs: 124B total / 5.1B active parameters (MoE), 256K context, text-only, MIT license, free rate-limited endpoint on OpenRouter.
- Benchmarks: Scores 23 on the AA Intelligence Index, matching MiniMax-M2.7 with roughly half the active parameters; 24 on the Finance & Accounting Index, with higher business knowledge accuracy than Ling-3.0-flash-VL (17% vs 11%) but worse hallucination (33% vs 19%).
- Weak spots: Agentic tasks lag — 7% on AutomationBench-AA (vs 16% for VL) and 0% on Terminal-Bench v4.0; it's also verbose, averaging 67k output tokens per task, 34% more than VL and 3.2x MiniMax-M2.7.
Related event: Ant Group's Open-Source Ling-3.0-flash-Fin Benchmarked(4 posts)→
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