Command R+

Qwen3-Max is Alibaba’s latest trillion-parameter large language model, designed to push performance in agentic tasks, coding, reasoning, and long-context processing. It is built atop the Qwen3 family and benefits from the architectural, training, and inference advances introduced there; mixing thinker and non-thinker modes, a “thinking budget” mechanism, and support for dynamic mode switching based on complexity. The model reportedly processes extremely long inputs (hundreds of thousands of tokens), supports tool invocation, and exhibits strong performance on benchmarks in coding, multi-step reasoning, and agent benchmarks (e.g., Tau2-Bench). While its initial variant emphasizes instruction following (non-thinking mode), Alibaba plans to bring reasoning capabilities online to enable autonomous agent behavior. Qwen3-Max inherits multilingual support and extensive pretraining on trillions of tokens, and it is delivered via API interfaces compatible with OpenAI-style functions.

Command’s model outputs come with clear citations that mitigate the risk of hallucinations and enable the surfacing of additional context from the source materials. Command can write product descriptions, help draft emails, suggest example press releases, and much more. Ask Command multiple questions about a document to assign a category to the document, extract a piece of information, or answer a general question about the document. Where answering a few questions about a document can save you a few minutes, doing it for thousands of documents can save a company years. This family of scalable models balances high efficiency with strong accuracy to enable enterprises to move from proof of concept into production-grade AI.