Alibaba (Qwen) / qwen3.8-omni-flash
Qwen3.8 Omni Flash stands out for Text, image, audio, and video understanding and Fast multimodal agent model. It is best suited to Multimodal agent workflows; Audio and video analysis and Multimodal agent workflows.
Context
1M
token
Input
$0.15
/ 1M tokens
Output
$0.47
/ 1M tokens
Quality
—
No score
Overview
Qwen3.8 Omni Flash stands out for Text, image, audio, and video understanding and Fast multimodal agent model. It is best suited to Multimodal agent workflows; Audio and video analysis and Multimodal agent workflows.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Prompt cache
Supports prompt caching patterns for repeated context and longer production conversations.
Reasoning
Better suited for multi-step analysis, planning, and tasks that need deliberate reasoning.
Multimodal
Supports mixed text-image input and can use a 1M-token context window for longer material.
Structured output
Can return machine-readable structures for extraction, automation, and application logic.
Model maker
Alibaba (Qwen)
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
Audio API
Base URL: https://api.sealink.io/v1
Pricing
Light production run
100K input + 25K output
$0.0267
Higher-volume run
1M input + 250K output
$0.2675
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
qwen3.8-omni-flashbase_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "qwen3.8-omni-flash","messages": [{"role": "user", "content": "Hello."}]}'
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="qwen3.8-omni-flash",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.io/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "qwen3.8-omni-flash",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);