Models

Efficient model for low-latency assistance, extraction, and routine automation

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

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

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

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

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

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

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

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

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

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

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

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

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

StepFun flash lane for quick multimodal reasoning and coding assistance