关于 Inclusion AI
Inclusion AI is an open-source AI organisation. Their mission is to develop reasoning/agent architectures, frameworks and accessible models so that inclusive, open-model ecosystems and AI infrastructure are available to all.
性能
Inclusion AI 的模型近期 Gateway 性能。
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暂无近期数据
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暂无近期数据
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暂无近期数据
此实验室的模型开始处理 Gateway 流量后，性能指标会显示在这里。
最新模型
包含可用性、上下文、价格和使用情况的近期发布。
Ling 3.1 Flash 1019 is InclusionAI's upgraded Ling 3.1 Flash, a hybrid reasoning mixture-of-experts model with 560B total parameters, 25B activated parameters and a 1M-token context window. Further post-training improves reasoning and real-world agentic performance.
Ling 3.1 Flash is InclusionAI's hybrid reasoning language model with 560B total parameters and 25B activated parameters.
Ling 3.1 Flash is InclusionAI's hybrid reasoning language model with 560B total parameters and 25B activated parameters.
Ling 3.0 Flash Sante is Inclusion AI's health and medicine enhanced 124B-parameter mixture-of-experts model with approximately 5.1B active parameters per token. It is designed for medical knowledge reasoning, clinical safety, evidence-based retrieval, and long-horizon medical tasks while retaining general reasoning, coding, and agentic capabilities.
Ling 3.0 Flash VL is Inclusion AI's 124B-parameter mixture-of-experts model with approximately 5.1B active parameters per token. It builds on Ling 3.0 Flash with native visual perception and advanced visual-agent capabilities while retaining strong language, reasoning, coding, and agentic performance.
Ling 3.0 Flash Fin is a finance-enhanced version of Inclusion AI's Ling 3.0 Flash, a 124B-parameter mixture-of-experts model with approximately 5.1B active parameters. It is optimized for complex, multi-step investment workflows and long-horizon planning while retaining general reasoning, coding, and mathematics capabilities.
Ling 3.0 Flash Fin is a finance-enhanced version of Inclusion AI's Ling 3.0 Flash, a 124B-parameter mixture-of-experts model with approximately 5.1B active parameters. It is optimized for complex, multi-step investment workflows and long-horizon planning while retaining general reasoning, coding, and mathematics capabilities.
Ling 3.0 Tiny is Inclusion AI's 7.9B-parameter mixture-of-experts model with 1.3B active parameters per token, designed for responsive agents, instruction following, and multi-turn conversations.
Ling 3.0 Flash is Inclusion AI's 124B-parameter mixture-of-experts model with approximately 5.1B active parameters per token, designed for token-efficient, production-scale agentic inference.
Ling 3.0 Flash is Inclusion AI's 124B-parameter mixture-of-experts model with approximately 5.1B active parameters per token, designed for token-efficient, production-scale agentic inference.
Ring 1T 2.5 is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency.
Ring Flash 2.0 is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.
网络信息
官方资料、研究和社区渠道。
