Models

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

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

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

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

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

Open agentic MoE model (397B total, 17B active) for coding, tool use, and research workflows

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

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

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

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

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

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

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

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

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