Ling 3.0 Flash

Ling 3.0 Flash

Ant Group
RankLLM

RankLLM

Castorini
+
+

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About

Ling 3.0 Flash is a next-generation efficient language model designed for long-horizon agent workflows, combining fast response, low activation, and stable tool use. It uses a Mixture-of-Experts architecture with 124 billion total parameters and 5.1 billion activated parameters per token, providing capability while keeping inference efficient. The model supports a native 256K context window that can be extended up to 1 million tokens, with reliable retrieval across information placed at the beginning, middle, or end of long contexts. Compared with the previous Flash model, Ling 3.0 Flash improves stability on extended tasks, tool-calling accuracy, instruction following, compatibility with agent harnesses, and coding performance. Its optimized spatial understanding can construct physical scene grids and reason about relative positions, while hybrid reasoning improves success rates across tasks of varying difficulty.

About

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Autonomous software testing teams that need a fast model for long-running tool-based coding and verification workflows

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ant Group
Founded: 2014
China
www.ant-ling.com

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

GLM-5.2

GLM-5.2

Zhipu AI

Alternatives

RankGPT

RankGPT

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Kimi K3

Kimi K3

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ColBERT

ColBERT

Future Data Systems
Qwen3.8-Max

Qwen3.8-Max

Alibaba
Ling 2.6 Flash

Ling 2.6 Flash

Ant Group
Ling 2.6

Ling 2.6

Ant Group

Categories

Categories

Integrations

Claude Code
Gemini
Gemini Enterprise
Hermes Agent
Kilo Code
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
OpenClaw
OpenRouter
Python
Qwen
RankGPT
ZenMux

Integrations

Claude Code
Gemini
Gemini Enterprise
Hermes Agent
Kilo Code
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
OpenClaw
OpenRouter
Python
Qwen
RankGPT
ZenMux
Claim Ling 3.0 Flash and update features and information
Claim Ling 3.0 Flash and update features and information
Claim RankLLM and update features and information
Claim RankLLM and update features and information