Models

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

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

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

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

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

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

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

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

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

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

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

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

Classic open reasoning model for transparent math, coding, and deliberate problem solving

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

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