NeoSmith NeoLite

NeoSmith NeoLite is positioned as a specialized model built for advanced reasoning agents and complex chain-of-thought tasks, combining text and image inputs with native tool calling support. Its architecture emphasizes logical problem-solving and multi-step inference over breadth of generative modalities, making it well suited for developers constructing agentic pipelines that need structured planning and reliable function invocation. The model is distributed through the NeoSmith API base endpoint, with a documented integration path through OpenAI-compatible SDKs, and it ships as a closed-weights release rather than an open-source checkpoint.

In practical terms, NeoSmith NeoLite delivers a generous working memory for long-running agent workflows while keeping per-token costs modest for both fresh and cached traffic, supported by published prompt-cache pricing. It exposes an adjustable temperature setting for fine-grained output control, and its prompt-cache read pricing is designed to lower the marginal cost of repeated context in iterative agent loops. The combination of multimodal intake, reasoning capability, and tight tool-use integration makes it a strong fit for production agent systems, retrieval-augmented generation pipelines, and vision-assisted reasoning tasks where extended context and predictable pricing matter most.