AI model marketplaces and tokenization platforms combine model discovery, monetization, and governance by attaching transferable tokens, auction mechanisms (e.g., Gensyn-style auctions), and DeFi primitives to models and agents. As of 2025-12-10 this topic sits at the intersection of two trends: increased demand for interoperable model access and the use of blockchain-native mechanisms to fund, govern, and incentivize model development and operation. Tokenized models can represent usage rights, governance shares, or revenue streams; auctions and staking enable coordinated funding and price discovery for high-value models or compute slots. Key implementations illustrate different layers of this stack: Tensorplex Labs focuses on open-source, decentralized AI infrastructure that integrates staking and cross-chain primitives to align developer and operator incentives; Windsurf (formerly Codeium) demonstrates multi-model, agentic developer workflows where marketplaces and IDEs converge to keep engineers “in flow”; Agentverse provides a cloud marketplace and deployment pipeline for autonomous agents; Vellum AI Showcase and ThinkForce surface reusable agent templates and collaborative discovery patterns that marketplaces can list and monetize. Together these tools show how marketplaces will host models, agent templates, and deployment blueprints while infrastructure projects manage compute, staking, and token economics. Relevance and risks: tokenized economies promise new funding and distribution models but raise practical issues — composability, provenance, quality assurance, security, and regulatory clarity. For platform builders and buyers, the focus in 2025 is pragmatic: hybrid architectures that combine on-chain governance with off-chain compute, standardized metadata for model provenance, and marketplace UX that balances discoverability with verification.