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models / DeepSeek / DeepSeek v4.1 Flash 1017

DeepSeek v4.1 Flash 1017

textdeepseek-ai/deepseek-v4.1-flash-1017ZDR supported

We introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens. The model natively processes images and text, and generates text autoregressively.

$1.20list priceper 1M output tokens
pricing
unitlist price
per 1M cached input tokens$0.006
per 1M input tokens$0.30
per 1M output tokens$1.20

Everyone pays the list price. What comes back grows with your Reward Status: Noob 0.5% of every spend buys back $INFX, Pro (hold 1,337 $INFX) 2%, Elite (also hold 1,337 $XAVA) 5%. How it works

openai sdk (python)
from openai import OpenAI

client = OpenAI(
    base_url="https://xavainf.com/v1",
    api_key="xk_live_...",  # your Xava Inference key
)

r = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)
curl
curl https://xavainf.com/v1/chat/completions \
  -H "Authorization: Bearer $XINF_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-ai/deepseek-v4.1-flash-1017","messages":[{"role":"user","content":"Hello!"}]}'
limits
providerDeepSeek
typetext
context window1,048,576 tokens
max output—
prompt storagenone
provider retentionnone ZDR supported
livesoon
requests 24h—
p50 latency—
uptime 7d—