Models

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

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

Lightweight multimodal Qwen model for high-throughput text, image, and video tasks

Open flagship GLM for long-horizon coding agents and million-token context work

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

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

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

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

Flagship Qwen model for complex reasoning, coding, and agentic workflows

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

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

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

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

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

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

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

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

Efficient Qwen thinking model for local reasoning, math, and coding agents

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

Large open Qwen MoE for multilingual reasoning, coding, and tool use

Dense open Qwen model for self-hosted chat, reasoning, and coding

Qwen reasoning model for deliberate problem solving, math, and coding

Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving

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

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