LLM Reference
Alibaba Cloud PAI-EAS

Qwen3.8-Omni-Flash on Alibaba Cloud PAI-EAS

Qwen3.8 · Alibaba

Serverless

Last refreshed 2026-09-17. Next refresh: weekly.

Why use Qwen3.8-Omni-Flash on Alibaba Cloud PAI-EAS?

Alibaba Cloud PAI-EAS offers Qwen3.8-Omni-Flash with pay-as-you-go pricing at $0.15/1M input tokens. Alibaba Cloud, established in 2009, offers a comprehensive AI platform as part of its cloud computing services.

Input / 1M
$0.15
Output / 1M
$0.47
Cache
read $0.016
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: qwen3.8-omni-flash
Model ID
qwen3.8-omni-flash

Request example

Curated snippets for this provider are not sourced yet. Use Alibaba Cloud PAI-EAS documentation with model ID qwen3.8-omni-flash.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Pricing

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.47

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt CachingAudio

About Qwen3.8-Omni-Flash

Qwen3.8-Omni-Flash is Alibaba Qwen's first omni-modal model built around agentic capabilities, announced 2026-09-18 (MCP-verified @Alibaba_Qwen tip 2100785962414702599 + first-party QwenCloud / Model Studio Qwen-Omni docs). Native text, image, audio, and video input with text-only output (do not set audio modalities). 1M-token context; QwenCloud lists max input 991K / max output 131K (thinking: max input 983K / max output 131K / max reasoning 262K). Tip + QwenCloud: audio-video understanding with reasoning and tool use for agentic workflows (vlog auto-edit, short-video translate, movie recaps); two-/four-channel spatial audio; DashScope + OpenAI-compatible protocols; companion open-source Qwen-MM-Plugins (Qwen-Live Harness coming soon).

Get Started

Model Specs

Released2026-09-18
Context1m

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