Name: Ling 3.0 Flash Fin API
Brand: inclusionAI

Overview

What Is Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is the finance-tuned member of inclusionAI's Ling 3.0 family, built by Ant Group's inclusionAI team. It keeps the speed and cost profile of Ling-3.0-flash while being adapted for financial analysis, reporting and quantitative reasoning.

Technical Specifications

Supported inputs: Text
Output: Text
Context window: 262,144 tokens
Max output: 235,929 tokens
Reasoning, streaming, tool calling and structured outputs
Endpoint: /chat/completions

API Pricing

Input: $0.082524 / 1M tokens
Cached input: $0.0165048 / 1M tokens
Output: $0.247572 / 1M tokens

Where Ling 3.0 Flash Fin Fits

Financial document analysis
A 262K context lets whole filings, prospectuses and annual reports be read in one prompt.

Quantitative reasoning
Domain tuning targets the numeric and tabular reasoning that general chat models handle unevenly.

Available on AI/ML API since August 27, 2026.

Uptime and performance

Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

End-to-end financial research: the model is documented as handling information retrieval, evidence review, calculation, modeling, and report preparation as a single workflow.

Source-grounded financial search: it is described as prioritizing authoritative sources to produce accurate, complete, and traceable answers for financial questions.

Multi-document financial reasoning: it is suited to reconciling reporting periods, definitions, assumptions, and conflicting figures across annual reports, earnings releases, regulatory filings, and research materials.

Valuation and spreadsheet workflows: it is documented as understanding formulas, actual-versus-estimate updates, cross-sheet dependencies, balance checks, scenario analysis, and editable financial-model delivery.

How to use Ling 3.0 Flash Fin API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to inclusionai/ling-3.0-flash-fin.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "inclusionai/ling-3.0-flash-fin",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "inclusionai/ling-3.0-flash-fin",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"inclusionai/ling-3.0-flash-fin","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.