LLM
Ling 3.0 Flash (Ling-3.0-flash)
inclusionAI 124B-total, 5.1B-active MoE model designed for token efficiency and production-scale agentic inference.
Levelmodel
ClassLLM
Parameters124B
Context262,144
Released23 Jul 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reported
Humanity's Last Exam (HLE)knowledge and reasoning
vendor-reported
22.7
050100
Score in %. Higher is better.
Ling-3.0-flash model card eval results
SWE-bench Multilingualcoding
vendor-reported
72.4
050100
Score in %. Higher is better.
Ling-3.0-flash model card eval results
SWE-bench Procoding
vendor-reported
56.6
050100
Score in %. Higher is better.
Ling-3.0-flash model card eval results
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
finetunecontinued pretrain
Ling 3.0 Flash Fin (Ling-3.0-flash-Fin) is a child (finetune)high confidencemodel cardLing 3.0 Flash VL (Ling-3.0-flash-VL) is a child (continued pretrain)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- inclusionAI
- Family
- Ling 3
- Released
- 23 Jul 2026 sourcesregistry date
- Weights published
- –
- Record checked
- 11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- hybrid Hybrid-linear MoE: 35 KDA layers and 7 Gated MLA layers (5:1), 512 routed experts, 1 shared, 8 active
- Total parameters
- 124B sources
- Active parameters
- 5.1B
- Checkpoint parameters
- –
- Note
- Safetensors metadata lists 127B
- Context length
- 262,144 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- MIT License sources
- Access routes
- API, open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperinclusionAIcompany, China
inclusionAIcompany, ChinaModelLing 3.0 Flash (Ling-3.0-flash)inclusionAI, LLM
Ling 3.0 Flash (Ling-3.0-flash)inclusionAI, LLMR&D TopicsAgents and Tool UseEfficiency Architectures (MoE, Sparse Attention, Long Context)Open-Weight Frontier Releases as Research Substrate
Use CasesProcess Optimisation and Advanced Process ControlIndustrialClinical LLM (Open Weights)HealthcareTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
R&D topics 3
Open-Weight Frontier Releases as Research SubstrateUsing released weights as the base for downstream research.used byEfficiency Architectures (MoE, Sparse Attention, Long Context)Reducing training and inference cost per capability.produced byAgents and Tool UseSystems that plan, call tools and act over multi-step tasks.produced by
Sources
- huggingface.co/inclusionAI/Ling-3.0-flash https://huggingface.co/inclusionAI/Ling-3.0-flash
- openrouter.ai/api/v1/models https://openrouter.ai/api/v1/models
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Ling 3.0 Flash (Ling-3.0-Flash)", https://aurion.semai.id/models/inclusionai-ling-3-0-flash/, records of October 2026.