• 0G Foundation and Alibaba Cloud launched onchain access to Qwen LLMs for AI agents on April 21, 2026.
• The move shifts AI from APIs to tokenized systems, enabling Qwen3.6 to reach emerging autonomous platforms.
• Developers can now use 0G’s verifiable data layer to build 100% auditable, multi-step agentic workflows.

Artificial intelligence (AI) agents can now directly access top-tier large language models onchain for the first time, following a new collaboration between 0G Foundation and Alibaba Cloud, the digital and intelligence backbone of Alibaba Group. The partnership enables blockchain-based access to Alibaba’s Qwen, one of the most widely adopted large language model (LLM) families.

The move shifts AI infrastructure from centralized, API-based systems to programmable, tokenized access designed for autonomous agents. AI agents have gained traction across industries, yet their effectiveness has been limited by the difficulty of integrating leading models into agent-driven environments at scale. Most LLMs remain gated behind centralized APIs requiring account setup, fiat billing and manual configuration, creating friction for autonomous systems.

Through the collaboration, 0G allows developers to embed Qwen access directly into its infrastructure via token-based mechanisms. This removes the need for traditional account management and enables programmatic, on-demand access to AI compute. Agents operating on 0G can query Qwen to generate responses, process information, or execute tasks in real time.

“At a high level, inference runs on Qwen, and verification runs on 0G — forming a more complete foundation of compute and trust for autonomous AI systems,” said Michael Heinrich, CEO and co-founder of 0G Labs. “0G’s integration with Alibaba Cloud’s Qwen marks a milestone where top-tier intelligence meets trusted infrastructure.”

Qwen, developed by Alibaba, has become one of the most widely downloaded model families, supporting multimodal and enterprise use cases. Its latest release, Qwen3.6, has demonstrated strong performance across multiple benchmarks, reinforcing its position among leading AI systems.

The collaboration underscores the growing importance of accessibility and distribution in the AI ecosystem. By enabling decentralized, tokenized access, Qwen’s reach extends beyond traditional enterprise environments into emerging autonomous systems.

Developers can now build agent-driven workflows that leverage Qwen for natural language understanding, automated decision-making and multi-step reasoning. Combined with 0G’s verifiable compute and data layer, the system enhances trust and auditability — key requirements for large-scale autonomous AI adoption.

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