Alibaba models on AIgateway — pricing, context, capabilities

Bring speech to your texts using Qwen3-TTS Custom-Voice model with pre-trained voices or use your custom voice with Qwen3-TTS Clone Voice model

Create custom voices using Qwen3-TTS Voice Design model and later use Clone Voice model to create your own voices!

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.

Alibaba's Wan 2.6 text-to-image model generating images from text prompts with optional negative prompts and customizable dimensions.

Qwen-Image is an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing.

Qwen-Image-2.0 is a next-generation foundational unified generation-and-editing model

Qwen-Image-2.0 is a next-generation foundational unified generation-and-editing model

Qwen-Image-2.0 is a next-generation foundational unified generation-and-editing model

LoRA inference endpoint for Qwen Image 2512, an improved version of Qwen Image with better text rendering, finer natural textures, and more realistic human generation.

Endpoint for Qwen's Image Editing model. Has superior text editing capabilities.

Endpoint for Qwen's Image Editing Plus model also known as Qwen-Image-Edit-2509. Has superior text editing capabilities and multi-image support.

Add a realistic scene behind the object with white background

Generate full portrait from a cropped face photo

Blend products into backgrounds with automatic perspective and lighting correction

Removes harsh shadows and light spots from images, replacing them with soft, even, natural-looking illumination.

Precise camera position and angle control (rotation, zoom, vertical movement)

Create cinematic transitions and scene progressions (camera movements, framing changes)

Remove unwanted elements (objects, people, text) while maintaining image consistency

Remove existing lighting and apply soft, even illumination

Apply designs/graphics onto people's shirts

Endpoint for Qwen's Image Editing Plus model also known as Qwen-Image-Edit-2509. Has superior text editing capabilities and multi-image support.

Add a realistic scene behind the object with white background

Blend products into backgrounds with automatic perspective and lighting correction

Removes harsh shadows and light spots from images, replacing them with soft, even, natural-looking illumination.

Remove unwanted elements (objects, people, text) while maintaining image consistency

Apply designs/graphics onto people's shirts

Image editing endpoint for Qwen-Image-Max. Qwen Image Max improves upon the Qwen Image Plus series by enhancing the realism and naturalness of images.

Qwen-Image (Image-to-Image) transforms and edits input images with high fidelity, enabling precise style transfer, enhancement, and creative modification.

Wan 2.5 image-to-image model.

Wan 2.2's 14B model with LoRA support generates high-fidelity images with enhanced prompt alignment, style adaptability.

Generate seamlessly tiling photorealistic images from text using Z-Image Turbo

Generate seamlessly tiling photorealistic images from text using Z-Image Turbo and custom LoRA

Clone your voices using Qwen3-TTS Clone-Voice model with zero shot cloning capabilities and use it on text-to-speech models to create speeches of yours!

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.

Alibaba's Qwen 3.5 is a 397B-parameter mixture-of-experts model with 17B active parameters, offering strong reasoning capabilities with efficient inference.

Alibaba's Qwen 3 Max is a large language model with strong coding, reasoning, and multilingual capabilities, served via DashScope's OpenAI-compatible endpoint.

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support.

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

Alibaba's Wan 2.7 image-to-video model that generates videos from a reference image with optional text prompts. Supports 720P and 1080P output with durations from 2 to 15 seconds.

Alibaba's HappyHorse 1.0 text-to-video model. Generates videos from a text prompt with configurable resolution, aspect ratio, and duration (3-15s).

Alibaba's HappyHorse 1.0 image-to-video model. Animates a reference image with an optional text prompt. Supports 720P and 1080P output with durations from 3 to 15 seconds.

VACE Fun for Wan 2.2 A14B from Alibaba-PAI

Wan 2.5 text-to-video model.

Wan-2.1 flf2v generates dynamic videos by intelligently bridging a given first frame to a desired end frame through smooth, coherent motion sequences.

Wan-2.1 is a image-to-video model that generates high-quality videos with high visual quality and motion diversity from images

Add custom LoRAs to Wan-2.1 is a image-to-video model that generates high-quality videos with high visual quality and motion diversity from images

Wan-2.1 is a text-to-video model that generates high-quality videos with high visual quality and motion diversity from text prompts

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

VACE is a video generation model that uses a source image, mask, and video to create prompted videos with controllable sources.

Reframe entire videos scene-by-scene using Wan VACE 2.1

Edit videos using plain language and Wan VACE

Wan-2.1 1.3B is a text-to-video model that generates high-quality videos with high visual quality and motion diversity from text promptsat faster speeds.

Wan-Animate Replace is a model that can integrate animated characters into reference videos, replacing the original character while preserving the scene’s lighting and color tone for seamless environmental integration.

Wan-2.2 image-to-video is a video model that generates high-quality videos with high visual quality and motion diversity from text prompts and images. This endpoint supports LoRAs made for Wan 2.2

Wan-2.2 Turbo image-to-video is a video model that generates high-quality videos with high visual quality and motion diversity from text prompts.

Wan-2.2 text-to-video is a video model that generates high-quality videos with high visual quality and motion diversity from text prompts. This endpoint supports LoRAs made for Wan 2.2.