When was Ling-3.0-flash-Fin released?

InclusionAI released Ling-3.0-flash-Fin on 11 Sep 2026. It is available through the Opper gateway.

Does Ling-3.0-flash-Fin support zero data retention?

Yes. Ling-3.0-flash-Fin is available with zero data retention on DeepInfra through the Opper gateway.

Where is Ling-3.0-flash-Fin hosted?

Ling-3.0-flash-Fin runs on US hosting routes through the Opper gateway.

Is Ling-3.0-flash-Fin trained on prompts and outputs?

No. Every hosting route for Ling-3.0-flash-Fin is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Ling-3.0-flash-Fin?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Ling-3.0-flash-Fin. Contact hello@opper.ai to receive it.

Ling-3.0-flash-Fin

by InclusionAI

Released 1 days after Ling-3.0-flash-VL · All InclusionAI releases

Ling-3.0-flash-Fin is the first finance-focused model in the Ling family that Ant Group publishes through InclusionAI, announced in late August 2026 and released with open weights under the MIT license in September 2026. It extends Ling-3.0-flash through continued training on financial data assembled with financial institutions and domain experts, and keeps the base model's shape: a 124 billion parameter Mixture-of-Experts with 5.1 billion active per token and a 256K context window, with thinking enabled by default. The tuning targets end-to-end research work rather than isolated question answering: pulling from authoritative sources, reading across annual reports, regulatory filings, and other long documents, running calculations and valuation models, working in spreadsheets, and producing reports a reviewer can check. InclusionAI evaluated it on FinFIRST, an expert-authored financial benchmark released alongside the model, plus FinSearchComp Verified, FinCRAFT, Finance Agent, APEX-Agents, SpreadsheetBench, and τ³-Banking, and reports results competitive with far larger general-purpose models, doing best where the task hinges on choosing the right sources or on heavy tool use. With tool calling, long context, and a low active parameter count, it suits agentic pipelines in investment research, banking operations, and financial document analysis where domain grounding matters more than breadth.

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Key info

Input

Output

Features

Context window

262K

Max output

262K

Input price

$0.06 /1M$0.01 cache read

Output price

$0.18 /1M

Released

11 Sep 2026

US residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Available routes

Ling-3.0-flash-Fin runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
DeepInfra	US		No	$0.06	$0.18	$0.01

Live routes and prices as JSON: api.opper.ai/v3/models?q=deepinfra%2FinclusionAI%2FLing-3.0-flash-Fin

Uptime and availability

Ling-3.0-flash-Fin runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days

Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Ling-3.0-flash-Fin has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
GDPR DPA: DPA available
Transfer mechanism: unknown

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#193 of 681 LLMs

TierEfficient

Output speed353 tok/s

First token1.19s

Intelligence Index22.6

Coding Index55.6

Reasoning & knowledge

Humanity's Last Exam

23%

Long-context reasoning

74%

Coding

SciCode

42%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call Ling-3.0-flash-Fin through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Ling-3.0-flash-Fin is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "deepinfra/inclusionAI/Ling-3.0-flash-Fin",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);