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# Alibaba Cloud

> 52 Alibaba Cloud models on EmpirioLabs, callable through one OpenAI-compatible API with shared billing and logs.

![Alibaba Cloud](/_fern-files/_img/72fbead04ca0e9957778e5ab233e62f9e7975797635f965be126e6a21d112d5d.webp)

## Alibaba Cloud

## Models from Alibaba Cloud

![Qwen Image 2.1](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Image 2.1](/models/qwen-image-2-1)

Image generation and editing with Pro and Turbo variants, up to ten reference images, transparent PNG output, and custom sizes up to 2560x2560.

![Qwen Image 3.0](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Image 3.0](/models/qwen-image-3-0)

Qwen image generation and editing with Base and Pro variants, multilingual typography, multi-image references, and controllable 1K or 2K output.

![Qwen Image 2.0](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Image 2.0](/models/qwen-image-2-0)

Unified image generation and editing model with class-leading complex Chinese/English text rendering, realistic textures, and multi-image fusion.

![Qwen Audio 3.1 TTS](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 TTS](/models/qwen-audio-3-1-tts)

Real-time speech synthesis with 19 voices, delivery direction in plain language, inline emotion and sound tags, and audio streamed over SSE or WebSocket.

![Qwen Audio 3.1 TTS Next](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 TTS Next](/models/qwen-audio-3-1-tts-next)

Audio generation from a written description, with narration, dialogue in up to three cloned voices, sound effects, ambience, and music in one file.

![Qwen Audio 3.0 TTS](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.0 TTS](/models/qwen-audio-3-0-tts)

Tiered speech synthesis with over 1,000 voices, 16 languages, 20 Chinese dialects, natural-language delivery direction, and inline emotion tags.

![Qwen Audio 3.1 ASR Message](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 ASR Message](/models/qwen-audio-3-1-asr-message)

Transcription tuned for voice messages and voice input over a socket, returning each utterance as one complete transcript when the speaker pauses.

![Qwen Audio 3.1 ASR](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 ASR](/models/qwen-audio-3-1-asr)

Speech-to-text for short clips and long recordings, with sentence segments, word timestamps, and multilingual and Chinese dialect recognition.

![Qwen Audio 3.1 ASR Stream](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 ASR Stream](/models/qwen-audio-3-1-asr-stream)

Live transcription over a socket, streaming partial words while the speaker talks and a settled sentence at each pause, priced per token.

![Qwen Audio 3.1 Realtime Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen Audio 3.1 Realtime Plus](/models/qwen-audio-3-1-realtime-plus)

Duplex speech conversation over one socket, with 27 voices, native web search, tool calling, and separate text and audio token rates.

![Qwen3.8 Max 0902](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 Max 0902](/models/qwen3-8-max-0902)

Upgraded Qwen3.8 Max snapshot with stronger coding, steadier multi-tool agent runs, and sharper chart and document vision across a 1M-token context.

![Qwen3.8 Max](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 Max](/models/qwen3-8-max)

Trillion-scale MoE flagship for coding, long-horizon agents, and professional work, with image and video understanding across a 1M-token context.

![Qwen3.7 Max](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.7 Max](/models/qwen3-7-max)

Qwen3.7 Max is a flagship text model for coding, productivity, long-running agents, deep thinking, tools, and 1M-token context.

![Qwen3.8 27B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 27B](/models/qwen3-8-27b)

Multimodal reasoner with 256K context, image and video input, function tools, structured JSON, and thinking on by default.

![Qwen3.6 27B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.6 27B](/models/qwen3-6-27b)

Qwen3.6 27B improves agentic coding, STEM reasoning, spatial vision, OCR, and text, image, and video understanding on 256K context.

![Qwen3.6 35B A3B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.6 35B A3B](/models/qwen3-6-35b-a3b)

Qwen3.6 35B A3B is a 256-expert mixture-of-experts reasoning model with 128K context, function tools, and strict structured JSON output.

![Qwen3.5 4B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 4B](/models/qwen3-5-4b)

Qwen3.5 4B is a low-cost multimodal reasoning model with 256K context, image and video input, function tools, and structured output.

![Qwen3.5 122B-A10B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 122B-A10B](/models/qwen3-5-122b-a10b)

Qwen3.5 122B-A10B is a multimodal reasoning model with 256K context, efficient sparse MoE inference, and text, image, and video input.

![Qwen3.5 35B-A3B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 35B-A3B](/models/qwen3-5-35b-a3b)

Qwen3.5 35B-A3B is an efficient native vision-language model with sparse MoE routing, deep thinking, and text, image, and video input.

![Qwen3.5 27B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 27B](/models/qwen3-5-27b)

Qwen3.5 27B is a dense multimodal reasoning model with fast responses, 256K context, and text, image, and video understanding.

![Qwen3.5 9B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 9B](/models/qwen3-5-9b)

Qwen3.5 9B is a compact multimodal reasoning model with 256K context, image and video input, function tools, and structured output.

![Qwen3.5 397B-A17B](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 397B-A17B](/models/qwen3-5-397b-a17b)

Qwen3.5 397B-A17B is a flagship multimodal reasoning model for language, code, agents, GUI tasks, and image and video understanding.

![Qwen3.8 Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 Flash](/models/qwen3-8-flash)

Fast Qwen3.8 vision-language model for coding, agents, and visual understanding, with image and video input, five built-in tools, and a 1M token context.

![Qwen3.7 Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.7 Flash](/models/qwen3-7-flash)

Fast Qwen3.7 vision-language model for text, image, video, tool use, and agentic tasks, with implicit caching and a 1M token context.

![Qwen3.6 Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.6 Flash](/models/qwen3-6-flash)

Fast Qwen3.6 vision-language model for agentic coding, math reasoning, spatial understanding, OCR, and text, image, and video input.

![Qwen3.5 Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 Flash](/models/qwen3-5-flash)

Vision-language model with hybrid linear-attention plus sparse MoE, 1M context, and fast multimodal text/image/video inference.

![Qwen3.7 Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.7 Plus](/models/qwen3-7-plus)

Cost-effective Qwen3.7 vision-language model for text, image, video, coding, tool use, GUI understanding, and 1M-context workflows.

![Qwen3.6 Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.6 Plus](/models/qwen3-6-plus)

Vision-language model with major upgrades over 3.5: agentic and front-end coding, multimodal recognition, OCR, and object localization.

![Qwen3.5 Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 Plus](/models/qwen3-5-plus)

Multimodal model with hybrid architecture for efficient deep thinking and visual understanding across text, image, and video on a 1M context.

![Qwen3.8 Omni Flash Realtime](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 Omni Flash Realtime](/models/qwen3-8-omni-flash-realtime)

Speech and live video frames in, speech out over one socket, with 56 voices, tool calling during the conversation, and separate text and audio token rates.

![Qwen3.5 Omni Flash Realtime](https://media.empiriolabs.ai/model-logos/qwen3-5-omni-flash-realtime.png)

[Qwen3.5 Omni Flash Realtime](/models/qwen3-5-omni-flash-realtime)

Speech in, speech out, over one socket, with separate text and audio token rates and per-turn billing.

![Qwen3.5 Omni Plus Realtime](https://media.empiriolabs.ai/model-logos/qwen3-5-omni-plus-realtime.png)

[Qwen3.5 Omni Plus Realtime](/models/qwen3-5-omni-plus-realtime)

Speech in, speech out, over one socket, on the larger Omni tier, with separate text and audio token rates and per-turn billing.

![Qwen3.8 Omni Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 Omni Flash](/models/qwen3-8-omni-flash)

Omni-modal reasoner that reads text, images, audio, and video and answers in text, with a 1M token context, thinking, and native web search.

![Qwen3.5 Omni Flash](https://media.empiriolabs.ai/model-logos/qwen3-5-omni-flash.png)

[Qwen3.5 Omni Flash](/models/qwen3-5-omni-flash)

Cost-efficient omni-modal model handling text, image, audio, and video, with up to 3 hours of audio and 1 hour of video across 90+ languages.

![Qwen3.5 Omni Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.5 Omni Plus](/models/qwen3-5-omni-plus)

Flagship omni-modal model for text, image, audio, and video. 3h audio, 1h video, 90+ input and 30+ output languages, 55 voice timbres.

![Qwen3.8 LiveTranslate Flash Realtime](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3.8 LiveTranslate Flash Realtime](/models/qwen3-8-livetranslate-flash-realtime)

Simultaneous spoken translation over a WebSocket. Set the target language, then speak; the model replies in that language with text and audio.

![Qwen3 Rerank](https://media.empiriolabs.ai/model-logos/qwen.png)

[Qwen3 Rerank](/models/qwen3-rerank)

Semantic document reranker. Sorts up to 500 candidates per query by relevance, supports 100+ languages, and accepts a custom sorting instruction.

![Wan 3.0](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 3.0](/models/wan-3-0)

All-in-one video generation up to 30 seconds with native audio, omni-modal references (images, video, audio, files, web links), and a fast Prime tier.

![Wan 2.7](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 2.7](/models/wan-2-7)

Multimodal video model supporting T2V, I2V, video editing, and reference-to-video, with high-fidelity output from text, image, or video inputs.

![Wan 2.6](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 2.6](/models/wan-2-6)

Multimodal video generation model for cinematic, multi-shot stories with native audio-visual sync (lip-sync, dialogue, music, SFX).

![Wan 2.5](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 2.5](/models/wan-2-5)

Alibaba's Wan 2.5 video model with text-to-video and image-to-video, native audio, optional custom audio tracks, and 480p to 1080p output.

![Wan 2.2](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 2.2](/models/wan-2-2)

Alibaba's Wan 2.2 video family with standard and flash tiers, first and last frame interpolation, and 480p to 1080p output at low cost.

![Wan 2.1](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan 2.1](/models/wan-2-1)

Alibaba's Wan 2.1 video model with turbo and plus tiers for text-to-video, image-to-video, and first and last frame clips at 480p or 720p.

![Wan2.7 Image](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan2.7 Image](/models/wan2-7-image)

Image generation and editing companion model: text-to-image, bounding-box edits, and cohesive image sets, with up to 4K output on Pro.

![Wan2.5 Image](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan2.5 Image](/models/wan2-5-image)

Alibaba's Wan 2.5 image model with text-to-image and multi-reference editing of up to 3 images at about 1.7 megapixels.

![Wan2.2 Image](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan2.2 Image](/models/wan2-2-image)

Alibaba's Wan 2.2 text-to-image model with plus and flash tiers and up to 1440x1440 output at low per-image pricing.

![Wan2.1 Image](https://media.empiriolabs.ai/model-logos/wan.png)

[Wan2.1 Image](/models/wan2-1-image)

Alibaba's Wan 2.1 text-to-image model with turbo and plus tiers and up to 1440x1440 output at low per-image pricing.

![HappyHorse 1.1](https://media.empiriolabs.ai/model-logos/happyhorse-1-1.png)

[HappyHorse 1.1](/models/happyhorse-1-1)

Text, image, and reference-to-video in one model. Cinematic motion, character consistency across up to 9 references, and synchronized native audio.

![HappyHorse 1.0](https://media.empiriolabs.ai/model-logos/happyhorse-1-0.png)

[HappyHorse 1.0](/models/happyhorse-1-0)

Video model offering Text-to-Video, Image-to-Video, Reference-to-Video, and Video Edit modes with high-fidelity, motion-smooth output.

![Tongyi Embedding Vision Flash](https://media.empiriolabs.ai/model-logos/qwen.png)

[Tongyi Embedding Vision Flash](/models/tongyi-embedding-vision-flash)

Speed-optimised multimodal embedding, same shape as Vision-Plus, 3× cheaper image/video tokens.

![Tongyi Embedding Vision Plus](https://media.empiriolabs.ai/model-logos/qwen.png)

[Tongyi Embedding Vision Plus](/models/tongyi-embedding-vision-plus)

Multimodal embedding producing independent vectors for text, image, and video inputs.

![Text Embedding v4](https://media.empiriolabs.ai/model-logos/qwen.png)

[Text Embedding v4](/models/text-embedding-v4)

Multilingual text embedding with selectable output dimensions (64–2048). Up to 8,192 tokens per input.