Ling 3.0 Flash Fin

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Companies that serve this model through an API: 2. Prices per million tokens, cheapest first.

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Call Ling 3.0 Flash Fin through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "inclusionai/ling-3.0-flash-fin", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

import os
from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
    model="inclusionai/ling-3.0-flash-fin",
    messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
  model: "inclusionai/ling-3.0-flash-fin",
  messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

• 1,000 chat replies

  ≈ 500 tokens in, 300 out each
  $0.084
• Summarise a 100-page document

  ≈ 50,000 tokens in, 1,000 out
  $0.0032
• An app with 10,000 requests a day for a month

  ≈ 1,000 tokens in, 400 out each
  $39.60

Cost calculator →

How much does Ling 3.0 Flash Fin cost?

Ling 3.0 Flash Fin costs $0.06 per million input tokens and $0.18 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.084.

What is the context window of Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin can read up to 262,144 tokens in one request, about 492 pages of text. It can write up to 235,929 tokens in a single answer.

Is Ling 3.0 Flash Fin open source?

No. Ling 3.0 Flash Fin is a closed model: its weights are not published, so you use it through inclusionAI (Ant Group)’s own apps and API, or through cloud providers.

Who makes Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is made by inclusionAI (Ant Group). It became available through the API on August 27, 2026.

Can Ling 3.0 Flash Fin read images?

No. Ling 3.0 Flash Fin only accepts text as input.

What are the alternatives to Ling 3.0 Flash Fin?

Models with a similar price from other companies include Granite 4.2 8B, Solar Mini 4 and Schematron V2 Small. You can compare them side by side on this page.