Novita

InclusionAI: Ling 3.0 Flash Fin

inclusionAI/Ling-3.0-flash-Fin
Context

256K

Input

text

Output

text

Tool calling

Supported

OverviewProvidersPricingBenchmarksAPI and quickstartReviews

About this model

Ling-3.0-flash-Fin is InclusionAI's finance-enhanced reasoning and agentic model built on Ling-3.0-flash through continued training on high-quality financial data. It combines 124B total parameters with only 5.1B activated parameters per token and a 256K context window, providing efficient inference for long-horizon financial workflows. The model is designed for end-to-end financial research, source-grounded financial search, multi-document reasoning across annual reports, earnings releases and regulatory filings, valuation and financial modeling, spreadsheet analysis, scenario analysis, and professional report preparation. It supports tool-intensive workflows and native thinking, making it suitable for investment research, financial analysis, banking workflows, financial agents, and other complex finance-focused applications.

Compare Text Models

Input modalities

text

Accepted as model input

Providers

Available routing options for this model through OneInfer.

Novita
Available

Input tokens

$0.075 / 1M tokens

Output tokens

$0.220 / 1M tokens

Routing

OneInfer optimized

Pricing

Current OneInfer pricing for this model.

UsagePrice
Input tokens$0.075 / 1M tokens
Output tokens$0.220 / 1M tokens
Cached input tokens$0.015 / 1M tokens

Performance & Benchmarks

Independent evaluations and live cluster operational metrics

We haven’t measured this model yet. Published academic results are under Academic Evaluations.

API Guide

API docs
  1. 1

    Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. 2

    Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. 3

    Check your credits

    If your balance is too low, before calling the model.

  4. 4

    Run the API example

    Choose your preferred language, copy the example, and send your first model request.

    curl https://api.oneinfer.ai/v1/ula/chat/completions \
  -H "Authorization: Bearer $JWT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inclusionAI/Ling-3.0-flash-Fin",
    "messages": [
      { "role": "user", "content": "Hello!" }
    ]
  }'

Community Model Reviews & Ratings

Verified visitor & developer evaluations on InclusionAI: Ling 3.0 Flash Fin's real-world intelligence, code accuracy, and speed

4.8
Community consensus rating
Top Community Consensus Tags:
Be the first to rate and tag this model's coding and reasoning strengths!

No community reviews yet

Be the first to share developer feedback on InclusionAI: Ling 3.0 Flash Fin's latency, code accuracy, and reliability in production.