Models

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

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

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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

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

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

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

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

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

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use

Qwen instruction model for multilingual chat, reasoning, and tool use

Large open Qwen multimodal MoE for visual agents and long technical tasks

Small Nemotron 3 MoE for efficient coding, math, and long-context agents