Models

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

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

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

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

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

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

Balanced Mistral model for enterprise assistants, multilingual work, and tools

Balanced Mistral model for enterprise assistants, multilingual work, and tools

Newer StepFun flash model for faster agents, coding, and multimodal prompts

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

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

StepFun flash lane for quick multimodal reasoning and coding assistance

Earlier MiniMax agent model for practical coding and productivity tasks

Mature GLM model for dependable coding, reasoning, and structured agent tasks

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

Thinking Kimi model for slower research passes, planning, and hard technical questions

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Efficient open MiniMax model built for coding agents and tool-heavy workflows

Budget GLM lane for fast coding help, routing, and everyday automation