Ling 3.0 Flash Fin
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment workflows that require complex multi-step tasks and long-horizon planning and execution, while retaining general capabilities in reasoning, coding, and mathematics.
inclusionai/ling-3.0-flash-fin
- Context
- 262k tokens
- Completion cap
- 235,929
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-08-27
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "inclusionai/ling-3.0-flash-fin",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Ling 3.0 Flash Fin?
- Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment workflows that require complex multi-step tasks and long-horizon planning and execution, while retaining general capabilities in reasoning, coding, and mathematics. Ling 3.0 Flash Fin runs on the Geek Hub API (OpenAI-compatible). Model id: inclusionai/ling-3.0-flash-fin.
- Is Ling 3.0 Flash Fin free?
- No. Input is $0.0654 per 1M tokens and output is $0.1962 per 1M tokens on Geek Hub (markup included).
- What is the context length of Ling 3.0 Flash Fin?
- Ling 3.0 Flash Fin has a 262k tokens context window. It supports up to 235,929 completion tokens.
- Does Ling 3.0 Flash Fin support tool calling and structured outputs?
- Ling 3.0 Flash Fin accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Ling 3.0 Flash Fin released?
- Ling 3.0 Flash Fin was released on 2026-08-27.
More models from InclusionAI
Ling 3.0 Flash Fin (free)Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-wo
Ling-3.0-flash*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and pr