3 models across 2 families · Latest: Ring-2.6-1T (2026-05)
InclusionAI's portfolio covers 3 active models across 2 non-obsolete families, with task labels spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 6 decision-task tags, 3 active tracked models, latest research stamp 2026-05-19.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Readers comparing families before locking a flagship SKU
- 3 tracked SKUs for migration and pricing follow-ups
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
3
Non-deprecated SKUs linked to this researcher
Active families
2
Non-obsolete families in coverage
Open catalog
3 open
3 OSI source / 0 open weights (0 text-match)
Decision task tags
6
Mapped to the site-wide task taxonomy
Latest dated release
2026-05-08
Ring-2.6-1T
Freshness
2026-05-19
Researched 21d ago
Information
Release cadence
Showing 3 recent dated ships (full timeline below). Latest spotlight: Ring-2.6-1T (2026-05-08).
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- RAG: 3 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 3 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 3 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
Anchor SKU: Ring-2.6-1T (best sourced coding Q/$ in this portfolio).
Coding task grade C · benchmark swe-bench-verified score 74 · cheapest tracked output from ladder $0.625 per 1M tokens
InclusionAI is a Chinese AI research organization founded in 2023. InclusionAI ships 2 model families totaling 3 models, with the most recent release Ring-2.6-1T in 2026-05. Notable families include Ring 2.6 and Ling 2.6. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links, release history. View official API endpoints, benchmark performance, and coding/agent fit for every InclusionAI model.
About
InclusionAI is Ant Group's artificial general intelligence research lab, responsible for developing the Ling series of large language models. Known for releasing large-scale open-weight MoE models including the 1-trillion-parameter Ling-1T and its successors, InclusionAI focuses on agentic and coding-oriented AI capabilities.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Ring-2.6-1T | 2026-05-08 | 262k | $0.075 | $0.625 | MIT | Open source |
| Ling-2.6-1T | 2026-04-23 | 262k | $0.075 | $0.625 | Apache 2.0 | Open source |
| Ling-2.6-Flash | 2026-04-21 | 262k | $0.08 | $0.24 | Apache 2.0 | Open source |
Model families
Recent releases
- Ring-2.6-1T- 2026-05-08
- Ling-2.6-1T- 2026-04-23
- Ling-2.6-Flash- 2026-04-21
FAQ
Who founded InclusionAI and when?
InclusionAI was founded in 2023 and is associated with Hangzhou, China.
What models has InclusionAI released?
InclusionAI ships 3 models across 2 families: Ring 2.6 and Ling 2.6.
Is InclusionAI's technology open source?
All tracked InclusionAI models are open-weight or open-source.
Where is InclusionAI headquartered?
InclusionAI is headquartered in Hangzhou, China.
How can I access InclusionAI's models?
InclusionAI's models are available via Novita AI and OpenRouter.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.