Models

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

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

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

Tencent Hy reasoning model for coding, instruction following, and agent tasks

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

Open MoE flagship with million-token context for coding and long agent runs

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Earlier MiniMax agent model for practical coding and productivity tasks

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

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

Open multimodal Llama for strong reasoning with efficient everyday serving