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Qwen3.8-Flash-Next from Empero

Free community endpoint for Qwen3.8-Flash-Next — open by default, from Empero research lab. Catalog id qwen/qwen3.8-flash-next.

Free community endpoint for Qwen3.8-Flash-Next — open by default, from Empero research lab. Catalog id qwen/qwen3.8-flash-next (qwen/qwen3.8-flash-next-fp8 aliases). 131,072 context, default max_tokens 32,768, $0/$0. Prompts and completions are logged (IPs hashed). Empero wire id stays Qwen/Qwen3.8-Flash-Next-FP8. GUI · Empero · Hugging Face.

Try it in the Vercel AI SDK. createAnyRouter() reads ANYROUTER_API_KEY:

import { createAnyRouter } from "@anyr/ai-sdk-provider"
import { generateText } from "ai"

const anyrouter = createAnyRouter()

const { text } = await generateText({
  model: anyrouter("qwen/qwen3.8-flash-next"),
  prompt: "Summarize this diff in three bullets.",
})
console.log(text)
generateText with the catalog id.

Already on the OpenAI SDK? OpenAI SDK playbook:

OpenAI-compatible: SDK or curl.
import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://anyrouter.dev/api/v1",
  apiKey: process.env.ANYROUTER_API_KEY,
})

const res = await client.chat.completions.create({
  model: "qwen/qwen3.8-flash-next",
  messages: [{ role: "user", content: "Hello" }],
})
console.log(res.choices[0]?.message.content)
curl https://anyrouter.dev/api/v1/chat/completions \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-flash-next","messages":[{"role":"user","content":"Hello"}]}'

Or launch a coding agent through the anyr CLI:

Coding agents via the AnyRouter CLI.
curl -fsSL https://anyrouter.dev/setup.sh | bash
anyr login
anyr claude --model "qwen/qwen3.8-flash-next"
curl -fsSL https://anyrouter.dev/setup.sh | bash
anyr login
anyr opencode --model "qwen/qwen3.8-flash-next"
curl -fsSL https://anyrouter.dev/setup.sh | bash
anyr login
anyr codex --model "qwen/qwen3.8-flash-next"

More: AI SDK · OpenAI SDK · coding agents.

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