Qwen3.5-397B-A17B

Top-tier Qwen MoE model for multilingual reasoning, coding, and large-context assistants.

201 languagesPublic model detailMoE Transformer

Params

397B / 17B active

Context

256K

Max Output

64K

License

Apache 2.0

TTFT

420ms

Throughput

58 tok/s

Why pick it

Massive multilingual coverage
Competitive price for 256K context

Pricing

TierStandardCachedSiliconFlowSavings

Realtime$0.10 / $0.05$0.035N/AN/A

Batch$0.05 / $0.03$0.035N/AN/A

Quick start

OpenAI-compatible surface. Swap the base URL and ship.

Try in Playground Open pricing

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.luminapath.tech/v1",
    api_key="BATCHIN_API_KEY"
)

resp = client.chat.completions.create(
    model="qwen3.5-397b",
    messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload."}]
)

print(resp.choices[0].message.content)

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.luminapath.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "qwen3.5-397b",
  messages: [{ role: "user", content: "Summarize why this model is a fit for my workload." }],
});

console.log(resp.choices[0]?.message?.content);

cURL

curl https://api.luminapath.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-397b",
    "messages": [{"role":"user","content":"Summarize why this model is a fit for my workload."}]
  }'

Specs

Architecture

MoE Transformer

Vendor group

Qwen

Context window

256K

Max output

64K

Best for

multilingual

reasoning