Models

Upstage's flagship model, specialized for agentic use

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

Agentic coding model from Poolside in the XS size class for local deployment

Quality-first multi-agent model for hard research, analysis, and competitions

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

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

Open MiMo model for multimodal coding agents and long-context automation

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

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

Earlier Qwen multimodal workhorse for million-token agent and document tasks

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

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

Flagship model for demanding analysis, coding, and production agent workflows

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

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

Efficient Qwen model for fast chat, extraction, and high-volume workloads

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

Sonar search model for autonomous research and citation-backed long-form reports

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