Large Language Modelqwen3.8-max

Qwen 3.8 Max

2.4T MoE Flagship

Alibaba 2.4-trillion-parameter MoE flagship model with native 1M context, state-of-the-art autonomous coding, and comprehensive multimodal reasoning. Supports deterministic 0902 snapshot alias.

AvailableMoE TransformerApache-2.0Use API

Params

2.4T MoE 1M

Context

Max Output

32K

API Surface/v1/chat/completions

Capabilities & Performance

1,000,000 token seamless document and video context comprehension
Starting at $1.936/M input, $5.807/M output with 10% SLA assurance
Routes through the canonical Qwen 3.8 Max model ID.

Transparent Pricing

Routing Lane	SLA & Profile	Public Rate	Cached
💎Pro Quality Lane quality_first	99.95% Official FP16 Deep reasoning & code	$1.27 / $3.81	N/A
🚀Turbo Lane speed_optimized	<140ms TTFT · 160 tok/s Voice & agent loops	$1.27 / $3.81	N/A
💰Economy Batch Lane cost_optimized	Up to 50% Volume Discount 24h Async Batch Queue	$1.27 / $3.81 (Batch)	N/A
🛡️Smart Failover Lane hybrid_fallback (Default)	99.99% Resilient Uptime Zero-downtime auto retry	$1.27 / $3.81	N/A

Current BatchIn list price.

OpenAI-compatible code on documented routes

Drop-in API Examples

Use API Get API Key

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    base_url="https://api.batchin.tech/v1",
    api_key="BATCHIN_API_KEY",
    default_headers={"X-BatchIn-Lane": "turbo"}  # "turbo" | "pro" | "economy" | "failover"
)

resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "Benchmark system architecture performance and cost profile."}],
    extra_body={"route_policy": "lowest_latency"}  # Turbo low-latency lane
)

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

JavaScript / Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.batchin.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
  defaultHeaders: { "X-BatchIn-Lane": "turbo" }, // "turbo" | "pro" | "economy" | "failover"
});

const resp = await client.chat.completions.create({
  model: "qwen3.8-max",
  messages: [{ role: "user", content: "Benchmark system architecture performance and cost profile." }],
});

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

cURL / Shell

curl https://api.batchin.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-BatchIn-Lane: turbo" \
  -d '{
    "model": "qwen3.8-max",
    "messages": [{"role":"user","content":"Benchmark system architecture performance and cost profile."}]
  }' -i
# Inspect response headers:
# X-BatchIn-Lane: speed_optimized
# X-BatchIn-Latency-Ms: 138
# X-BatchIn-Route-Decision: primary_lane

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