inclusionAI/Ling-3.1-flash
text-generation model by inclusionAI
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Model card & documentation
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🤗 Hugging Face | 🤖 ModelScope | 🐙 OpenRouter We're introducing Ling-3.1-flash, an upgraded native hybrid reasoning model designed for complex, real-world tasks. With 560B total parameters, 25B active parameters per token, and a 1M-token context window, Ling-3.1-flash builds upon Ling-3.0-flash with improvements in architecture and performance on real-world tasks. With stronger real-world capabilities, Ling-3.1-flash shows improvements across a range of real-world tasks, including general-purpose agents, search, office productivity, and software engineering. It demonstrates strong performance on benchmarks such as GDPVal-AA V2.1, HealthBench Professional, FrontierSWE, and Terminal-Bench 4.0, covering office tasks, healthcare, software engineering, and terminal-based tool use. The model also shows improvements in specialized domains such as finance and materials science. The table and diagram below summarize the model’s specifications and architecture. We have conducted a comprehensive evaluation of Ling-3.1-flash across multiple authoritative benchmarks. Ling-3.1-flash performs strongly on representative coding/agentic benchmarks including Terminal-Bench 4.0, SWE-bench Pro, FrontierSWE, GDPVal-AA V2.1,…
Read the full model card ↗ · Preview checked 2026-10-27T23:46:48.056Z
Inside the original model card — Document outline
- Introduction
- Model Overview
- Evaluation
- Quickstart
- SGLang (Recommended)
- Run Inference
- vLLM
- Environment Preparation
- Run Inference
- Training Content Summary
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
inclusionAI/Ling-3.1-flash is a text-generation model repository published by inclusionAI on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Not reported
- Recent downloads (30 days)
- 3,292
- Cumulative likes
- 144
- Hugging Face trending score
- 60
- Reported safetensors parameters
- 572,120,680,768
- Architecture
- BailingMoeV3ForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-13T11:16:41.000Z
- Last modified
- 2026-10-20T08:23:10.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:44:02.555Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.