DeepSeek-V4.1-Flash-1017 (preview)

Call DeepSeek-V4.1-Flash-1017 through an OpenAI- and Anthropic-compatible API, served on the global host: its model ID, context, prices and a code example.

Munito AI serves DeepSeek-V4.1-Flash-1017 on the global host through an OpenAI- and Anthropic-compatible API.

This model is a preview. Munito AI can change or remove it without notice.

Use this model ID in the model field of a request:

deepseek-ai/deepseek-v4.1-flash-1017
Model IDdeepseek-ai/deepseek-v4.1-flash-1017
TypeChat (preview)
Inputtext, image
Context1M tokens (1,048,576)
Maximum output943,718 tokens
RegionsGlobal
Tool callsYes
Structured outputJSON schema and JSON object
Reasoning effortlow, high, max

APIs

Prices

Prices are in USD for each million tokens, in the standard tier. The global host bills the global price. A regional host or a regional model ID bills the price of its region.

RegionInputCached inputOutput
Global$0.27$0.0054$1.00

See Models and pricing for the priority and flex tiers, and for how a request is billed.

Rate limits

Base limits per organization.

Usage tierRequests per minuteInput tokens per minuteOutput tokens per minute
Free200400,00060,000
Tier 1400800,000120,000
Tier 28001,600,000240,000
Tier 31,6003,200,000480,000
Tier 43,2006,400,000960,000
CustomOn requestOn requestOn request

See Rate limits for dynamic limits, headers and retries.

Request custom limits through Support in the console.

Regions

Call this model on the global host, api.munito.ai. The global host can process a request in any region.

See Regions for the base URLs and the rules for stored data.

Example

export MUNITO_API_KEY="munitoai_..."
curl https://api.munito.ai/inference/v1/chat/completions \
  -H "Authorization: Bearer $MUNITO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/deepseek-v4.1-flash-1017",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 256
  }'
# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.munito.ai/inference/v1",
    api_key=os.environ["MUNITO_API_KEY"],
)
response = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Hello!"}],
    max_tokens=256,
)
print(response.choices[0].message.content)

The same model ID works with the Anthropic client. See Send your first request.