Model Catalog

Qwen3.7 series cost-effective Plus model, with fully upgraded visual-language capabilities on top of strong text abilities, retaining complete agent capabilities for coding, tool use, and productivity workflows. Supports multimodal interactive hybrid agents: perceiving real-world scenes, reading screens and operating GUIs, generating code based on visual references, and end-to-end navigation of mobile apps. Equivalent to snapshot qwen3.7-plus-2026-05-26.

Qwen3.7 flagship model, built for the agent era with comprehensive improvements in coding, office productivity, and long-cycle autonomous execution. Supports thinking mode toggle, function calling, and web search. 1M token context window.

Qwen3 most powerful flagship model, supports thinking mode toggle, excels in complex reasoning, code generation, and mathematics. 262K context window.

Qwen3.6 most powerful preview model, designed for complex reasoning, code generation, and multi-step tool tasks, ideal for scenarios requiring stronger thinking capabilities.

Qwen3.6 balanced flagship model, supports 1M context window, function calling, and built-in tools, ideal for large codebases and general production scenarios.

Qwen3.5 enhanced model, best balance of quality, speed, and cost. Supports 1M context window, ideal for large-scale application scenarios.

Qwen3.6 flash model, ideal for simple tasks with fast speed and low cost. Supports 1M context window and context caching.

Qwen3.5 flash model, ideal for simple tasks with fast speed and low cost. Supports 1M context window and context caching.

Qwen enhanced model, classic balance of quality and speed, ideal for large-scale application scenarios.

Qwen high-speed model, extremely fast response and lowest cost, ideal for latency-sensitive application scenarios.

Qwen3 open-source flagship, 235B parameter MoE architecture (22B active), supports dynamic switching between thinking and non-thinking modes.

Qwen3.6 open-source MoE model, 35B total parameters with only 3B active, excels at agent coding, STEM, and reasoning tasks. Apache 2.0 licensed. Supports thinking mode toggle.

Qwen3 open-source 32B parameter dense model, excels among medium-scale models.

Qwen reasoning model, trained on Qwen2.5, excels at mathematics, logical reasoning, and complex problem analysis, displaying complete chain-of-thought.

Qwen vision flagship model, supports image understanding, visual-text dialogue, document OCR, and other multimodal tasks.

Qwen vision enhanced model, balanced performance and cost multimodal model.

Qwen3 vision-language model, significantly improved image understanding, supports high-resolution image input. 262K context window.

Qwen3 vision flash model, fast image understanding, ideal for real-time scenarios.

Qwen3 omni model, accepts text, image, video and other multimodal inputs, ideal for complex multimodal understanding scenarios.

Qwen3 exceptional code model, excels at tool calling and environment interaction, with outstanding code generation, completion, debugging, and refactoring capabilities. 1M context window.

Qwen3 code flash model, fast code completion and generation, ideal for IDE integration scenarios.

Qwen latest text embedding model, supports 100+ languages and multiple programming languages, vector dimensions selectable from 2048, 1536, 1024, 768, 512, 256, 128, 64, suitable for semantic retrieval, clustering, recommendation, and RAG.

Latest generation text-to-image flagship model, supports mixed text-image output and image editing. Can process complex instructions, render Chinese and English text, and generate high-definition realistic images. Supports multiple resolutions and aspect ratios.

Latest generation text-to-video flagship model, supports multi-shot narrative and intelligent storyboard. Can generate 2-15 second 1080P HD video, supports prompt rewriting. Generation time approximately 1-5 minutes.

Image-driven video generation model, uses the input image as the first frame to generate coherent video. Supports multi-shot narrative, automatic dubbing, 720P/1080P resolution, 2-15 seconds duration. Excellent frame coherence and motion consistency.

PixVerse latest flagship video generation model, supports text-to-video and image-to-video, with significantly improved visual quality and motion consistency. Supports 1-15 seconds duration, 360p/540p/720p/1080p multiple resolutions, various aspect ratios.

Alibaba's 2026 latest AI video generation model, ranked #1 on benchmarks. Generates high-quality video from text, supports 720P/1080P, 3-15 seconds duration, various aspect ratios. Default audio included.

Generates coherent video using the input image as the first frame, supports 720P/1080P, 3-15 seconds duration. Excellent frame coherence and motion consistency. Default audio included.

Supports 1-9 reference images input, can fuse characters/objects/scenes from images to generate video. Supports 720P/1080P, 3-15 seconds, various aspect ratios. Default audio included.

AI video editing based on input video, supports 0-5 reference images for assisted editing. Input video 3-60 seconds (truncated beyond 15s), supports 720P/1080P, can preserve original audio.

DeepSeek V4 Flash high-speed model via DashScope, ideal for low-latency and high-concurrency online dialogue scenarios.

DeepSeek V4 Pro flagship model via DashScope, designed for complex reasoning, code generation, and multi-step tasks.

DeepSeek latest general-purpose LLM, MoE architecture, strong bilingual Chinese-English capabilities, powerful coding abilities.

Zhipu AI GLM-5.1 enhanced flagship model, further optimized over GLM-5, stronger complex reasoning and code generation capabilities.

Qwen3 open-source 8B parameter lightweight model, ideal for edge deployment and low-cost inference scenarios.