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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 · EU
# Region endpoint — OpenAI-compatible /v1 base URL (https://api.eu.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.eu.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"}],
)Works well with
EmbeddingsAvailable nowQwen3 Embedding 0.6BMultilingual search across 100+ languagesDecisionsAvailable nowClefIntelligent, confidence-scored decisionsTranscriptionAvailable nowWhisper large v3Multilingual speech transcription
More models
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Included unlimited* on every plan*
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Start with control
Create your account and pick the region your data must stay in.