Models

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

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

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

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

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

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

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

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

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

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

Strong GLM coding model for agentic engineering, terminals, and repository generation

Open Gemma instruction model for efficient chat and self-hosted deployments

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

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

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

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

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

Popular open Llama workhorse for multilingual chat, coding, and self-hosting