Ling 3.0 flash Fin
inclusionai/ling-3.0-flash-finLing 3.0 flash Fin (inclusionai/ling-3.0-flash-fin) is a bailing_hybrid 127.5B-parameter model from Inclusionai with a 262,144-token context window and 235,929 max output tokens, priced at $0.06/1M input and $0.18/1M output tokens. Available via the haimaker.ai OpenAI-compatible API.
Overview
Ling 3.0 Flash Fin is a chat model by Inclusionai. It has 127.5B parameters. It supports a 262K token context window. Supports function calling, reasoning.
Model Card
Ling-3.0-flash-Fin
Base Model | OpenRouter | Announcement
Introduction
Ling-3.0-flash-Fin is the first finance-enhanced model in the Ant Ling family. Developed by Ant Group with leading financial institutions and domain experts, it extends Ling-3.0-flash through continued training on high-quality financial data.With 124B total parameters, 5.1B activated parameters, and a 256K context window, the model combines financial expertise with efficient inference for long-horizon agent workflows.
Highlights
+ End-to-end financial research: connects information retrieval, evidence review, calculation, modeling, and report preparation instead of treating them as isolated tasks. + Source-grounded financial search: Prioritizes authoritative sources to deliver accurate, complete, and traceable answers; FinFIRST is open-sourced alongside the model to enable transparent evaluation of these capabilities. + Multi-document financial reasoning: reconciles reporting periods, definitions, assumptions, and conflicting figures across annual reports, earnings releases, regulatory filings, and research materials. + Valuation and spreadsheet workflows: understands formulas, actual-versus-estimate updates, cross-sheet dependencies, balance checks, scenario analysis, and editable financial-model delivery. + Research-ready outputs: organizes facts, analysis, judgments, and charts into clear, reviewable materials for further editing and professional review.Evaluation
Ling-3.0-flash-Fin was evaluated across FinFIRST, FinSearchComp Verified, FinCRAFT, Finance Agent, APEX-Agents, SpreadsheetBench, and τ³-Banking. These benchmarks cover source-grounded retrieval, investment research, long-horizon execution, valuation modeling, spreadsheet operations, and banking workflows. The model is competitive with both similarly sized models and substantially larger general-purpose models, with particular strength in source selection and tool-intensive financial tasks.
Local Serving
The current checkpoint is released in BF16. Because Ling-3.0-flash-Fin shares the same architecture as Ling-3.0-flash, it is compatible with the same SGLang and vLLM runtimes. For deployment instructions, see the Ling-3.0-flash deployment guide.>Important: Thinking mode is enabled by default. For optimal performance, we strongly recommend using
temperature=1.0,top_p=0.95, andtop_k=20for general inference.
Limitations and Future Work
As our first finance-enhanced release, Ling-3.0-flash-Fin still requires further validation in complex, long-horizon workflows. Key assumptions, valuation results, and investment conclusions require professional review and do not constitute investment advice.Future releases will explore finance-enhanced models at larger scales to further improve complex reasoning and long-horizon task execution.
Features & Capabilities
| Mode | chat |
| Context Window | 262,144 tokens |
| Max Output | 235,929 tokens |
| Function Calling | Supported |
| Vision | Not supported |
| Reasoning | Supported |
| Web Search | Not supported |
| Url Context | Not supported |
Technical Details
| Architecture | BailingMoeV3ForCausalLM |
| Model Type | bailing_hybrid |
| Base Model | inclusionAI/Ling-3.0-flash |
API Usage
from openai import OpenAI
client = OpenAI(
base_url="https://api.haimaker.ai/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="inclusionai/ling-3.0-flash-fin",
messages=[
{"role": "user", "content": "Hello, how are you?"}
],
)
print(response.choices[0].message.content)Frequently Asked Questions
What is the context window of Ling 3.0 flash Fin?
Ling 3.0 flash Fin (inclusionai/ling-3.0-flash-fin) has a 262,144-token context window and supports up to 235,929 output tokens per request.
How much does Ling 3.0 flash Fin cost?
Ling 3.0 flash Fin is priced at $0.06 per 1M input tokens and $0.18 per 1M output tokens when accessed via the haimaker.ai OpenAI-compatible API.
What features does Ling 3.0 flash Fin support?
Ling 3.0 flash Fin supports function calling, reasoning.
How do I use Ling 3.0 flash Fin via API?
Send requests to https://api.haimaker.ai/v1/chat/completions with model "inclusionai/ling-3.0-flash-fin" using any OpenAI-compatible SDK. Authentication uses a Bearer API key from https://app.haimaker.ai.
Use Ling 3.0 flash Fin with the haimaker API
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