Qwen · Chat Completions

Qwen 3.8 Max API

Alibaba's largest Qwen model, with a million-token context window. Served through RouterHub at $0.20 input / $0.60 output per million tokens (prices as of ).

Chat with Qwen 3.8 MaxGet an API keyConnect a coding agent

Qwen 3.8 Max pricing

−90% vs the official API price of $2.00 input / $6.00 output per 1M tokens (source, checked 2026-10-20).

Input
$0.20
Cached input
$0.025
Cache write
$0.25
Output
$0.60
Typical message
≈ 0.050¢

USD per 1 million tokens. A typical message is about 1,000 input and 500 output tokens. Cached input uses the cache-read rate when the provider reports a cache hit. Billed from your prepaid balance.

Compare Qwen 3.8 Max variants

RouterHub token prices, USD per 1 million tokens
Model / exact API IDInput / 1MCached / 1MOutput / 1MContextActions
Qwen 3.8 Maxqwen3.8-max $2.00$0.20−90% $0.025 $6.00$0.60 1M Chat
Qwen 3.8 Max UncensoredUncensoredqwen3.8-max-uncensored $2.00$0.25−87% $0.031 $6.00$0.75 1M Chat

API compatibility and context

Exact model ID
qwen3.8-max
Provider
Qwen
Variant
Standard
Supported API
OpenAI-compatible Chat Completions API (/v1/chat/completions)
Availability
Available
Context window
1,000,000 tokens
Maximum input
983,000 tokens
Maximum output
131,000 tokens

Use Qwen 3.8 Max through the API

Create a RouterHub account, add prepaid credits and create an API key. Set ROUTERHUB_API_KEY locally, then send a first request with the exact model ID.

cURL
curl --connect-timeout 30 --max-time 600 https://routerhub.si/v1/chat/completions \
  -H "Authorization: Bearer $ROUTERHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3.8-max","messages":[{"role":"user","content":"Write a short noir scene set in a lighthouse."}],"max_tokens":256}'

Python: install openai with pip. The example requests 256 output tokens and disables automatic retries, so check Usage before resending a paid request.

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ROUTERHUB_API_KEY"],
    base_url="https://routerhub.si/v1",
    timeout=600.0,
    max_retries=0,
)
response = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "Write a short noir scene set in a lighthouse."}],
    max_tokens=256,
)
print(response.choices[0].message.content)

Coding tools that work with Qwen 3.8 Max

Common questions

What is Qwen 3.8 Max?

Qwen 3.8 Max is a Qwen language model served through RouterHub using the OpenAI-compatible Chat Completions API. Its exact API model ID is qwen3.8-max.

How much does Qwen 3.8 Max cost?

RouterHub charges $0.20 input, $0.025 cached input and $0.60 output per million tokens (prices as of 2026-11-08). A typical chat message of about 1,000 input and 500 output tokens costs about 0.050¢. Usage is billed against your prepaid balance.

What is the Qwen 3.8 Max context window?

Context window: 1,000,000 tokens. Maximum input: 983,000 tokens. Maximum output: 131,000 tokens.

Which API does Qwen 3.8 Max support?

Use the OpenAI-compatible Chat Completions API at https://routerhub.si/v1/chat/completions with the exact model ID qwen3.8-max and your RouterHub API key (Authorization: Bearer header).

Which coding tools work with Qwen 3.8 Max?

OpenCode, VS Code + Continue, VS Code + Cline, Hermes Agent. Each setup guide lists only compatible model IDs.

Can I try Qwen 3.8 Max for free?

Qwen 3.8 Max needs a free RouterHub account with prepaid credits. New accounts get $5 free on their first top-up of $20 or more.

Related models and guides