Models

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

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

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

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

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.

StepFun flash lane for quick multimodal reasoning and coding assistance

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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

Open GPT reasoning model for self-hosted agents and controllable deployments

Open GPT reasoning model for self-hosted agents and controllable deployments

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

Open multimodal Gemma instruction model for efficient text generation and image understanding

Open multimodal Gemma instruction model for multilingual text generation and image understanding