Models

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

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

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

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

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

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

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

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

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

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

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

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

Budget GLM lane for fast coding help, routing, and everyday automation

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

Mature GLM model for dependable coding, reasoning, and structured agent tasks

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use