Alibaba
Major Foundation Lab68 Canonical ModelsAlibaba foundation models, inference API endpoints, and pricing.
Models by Alibaba
Specifications, context windows, and pricing for Alibaba models
Hosted Qwen coder for software agents, repo edits, and long-context code
Efficient Qwen model for fast chat, extraction, and high-volume workloads
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen instruction model for multilingual chat, reasoning, and tool use
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
Efficient Qwen model for fast chat, extraction, and high-volume workloads
Earlier Qwen multimodal workhorse for million-token agent and document tasks
Qwen coding model for software agents, repository edits, and code reasoning
Qwen omni model for text, vision, audio, and multimodal agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Lightweight multimodal Qwen model for high-throughput text, image, and video tasks
2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding
Multimodal Qwen workhorse for long-context agents, visual inputs, and coding
High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows
Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows
Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use
Updated compact Qwen3 MoE instruct model for multilingual chat, coding, and tool use
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
Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use
Efficient Qwen thinking model for local reasoning, math, and coding agents
Open vision-language MoE model for image and video understanding, documents, and visual agents
Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding
Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning
Smallest Qwen3.5 multimodal model for on-device chat, reasoning, and tool use
Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning
Smaller Qwen coder for efficient local agents and repo-level fixes
Qwen vision-language model for visual reasoning, documents, and agent tasks
Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use
Large open Qwen multimodal MoE for visual agents and long technical tasks
Flagship Qwen3 model for coding agents, complex reasoning, and tool use
Flagship Qwen model for complex reasoning, coding, and agentic workflows
Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use
Open Qwen coding heavyweight for repository reasoning and agentic engineering
Open multimodal Qwen MoE for local agents that need vision, audio, and code
Updated large open Qwen3 MoE thinking model for reasoning, math, coding, and tool use
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
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Flagship Qwen model for complex reasoning, coding, and agentic workflows
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Qwen instruction model for multilingual chat, reasoning, and tool use
Qwen instruction model for multilingual chat, reasoning, and tool use
Open coding-focused Qwen model for code generation, repair, and repository reasoning
Small open Qwen2.5 instruction model for chat, structured output, and tool use
Qwen vision-language model for visual reasoning, documents, and agent tasks
Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving
Sparse MoE Qwen model with 3B active parameters for efficient chat and reasoning
Qwen vision-language instruct model for visual reasoning, documents, and agent tasks
Qwen reasoning model for deliberate problem solving, math, and coding
Qwen vision-language thinking model for visual reasoning, documents, and agent tasks
Dense open Qwen model for self-hosted chat, reasoning, and coding
Large open Qwen MoE for multilingual reasoning, coding, and tool use
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Multimodal reasoning model accepting text, images, video, and audio with text output
Tiny open Qwen code model for lightweight completion and on-device coding
Multilingual query-document reranking model supporting more than 100 languages
Dense 8B Qwen3 model with switchable thinking for chat, reasoning, and tool use
Flagship Qwen model for complex reasoning, coding, and agentic workflows
Multilingual text embedding model for retrieval, code search, classification, and clustering
Qwen omni model for text, vision, audio, and multimodal agent tasks
Flagship Qwen translation model with terminology control and support for 92 languages
Unified text-to-image generation and image editing model with native RGBA transparency and reference-image editing