Models

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Flagship GLM model for long-horizon coding, agents, and complex project delivery

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Open flagship GLM for long-horizon coding agents and million-token context work

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

MiniMax multimodal model for long-context coding, perception, and agent planning

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Strong GLM coding model for agentic engineering, terminals, and repository generation

Open MiniMax flagship for coding agents, office automation, and complex environments

Qwen vision-language model for visual reasoning, documents, and agent tasks

Prior MiniMax coding model for agent workflows, office edits, and automation

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Earlier MiniMax agent model for practical coding and productivity tasks

GLM vision model for visual reasoning, documents, and multimodal agents

Hybrid-reasoning GLM release that made the 4.5 line broadly useful