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Qwen 3.8Flash Next

One million tokens. Endless possibilities.

Analyze entire codebases in one pass, accelerate coding and agents with 1M-token context and MoE inference at just 6B active.

Good for
  • 01Build intelligent assistants and autonomous AI agents at scale.
  • 02Analyze extensive documents, repositories and complex datasets.
  • 03Accelerate development with AI-powered coding and automation.
  • Coding
  • AI agents
  • Helpdesk & support
  • Documentation
  • Information systems & search
  • Data & analytics

✓ Included unlimited* on every plan

Key facts
Model origin
Qwen
Context window
1M tokens
Size
180B MoE · 6B active
Modalities
text
API model id
qwen-3-8
Availability
EUUSALATAM
Your data boundary

Prompts and outputs are not stored by default. Knowledge or Memory data that your organization intentionally persists is encrypted, pinned to the selected region, isolated to authorized organizational scopes, and never used to train shared or third-party models.

Try it from your region · LATAM

# Region endpoint — OpenAI-compatible /v1 base URL (https://api.latam.ccsio.ai/v1)
export CCSIO_AI_API_KEY=<your-api-key>            # placeholder, issued with your region

import os
from openai import OpenAI                          # the standard OpenAI client

client = OpenAI(
    base_url="https://api.latam.ccsio.ai/v1",                        # the routed market's API URL
    api_key=os.environ["CCSIO_AI_API_KEY"],
)

response = client.chat.completions.create(
    model="qwen3.8-flash-next",   # Qwen 3.8; GET /v1/models lists every model
    messages=[{"role": "user", "content": "Hello"}],
)
Explore the platform

Start with control

Create your account and pick the region your data must stay in.