DeepSeek V4.1 Flash 1017 Thinking API pricing

What is DeepSeek V4.1 Flash 1017 Thinking?

DeepSeek V4.1 Flash 1017 Thinking is a text model in the Outrun catalog. The base model is DeepSeek V4.1 Flash. The standard rate is $0.20 in / $1.20 out per 1M tokens.

What are the DeepSeek V4.1 Flash 1017 Thinking model details?

How do I call DeepSeek V4.1 Flash 1017 Thinking?

Use your Outrun key and the exact model ID. Requests use prepaid USD credit.

curl https://api.outrun.to/v1/chat/completions \
  -H "Authorization: Bearer $OUTRUN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "deepseek-v4.1-flash-1017-thinking-3",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 8192
}'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.outrun.to/v1",
    api_key=os.environ["OUTRUN_API_KEY"],
)
reply = client.chat.completions.create(
    model="deepseek-v4.1-flash-1017-thinking-3",
    messages=[{"role": "user", "content": "Hello!"}],
    max_tokens=8192,
)
print(reply.choices[0].message.content)

Which tools work with DeepSeek V4.1 Flash 1017 Thinking?

Any client that accepts an OpenAI-compatible base URL and a model ID can use deepseek-v4.1-flash-1017-thinking-3. Setup guides: Cline (OpenAI Compatible), OpenCode, SillyTavern, LiteLLM.

Use these setup values for this model ID. Recommended output settings can be lower than the route maximum.

How does DeepSeek V4.1 Flash 1017 Thinking compare on cost?

Assumes 1,000 input + 300 output tokens per turn, repeated 1,000 times, at standard-tier rates without caching. Input / output shown per 1M tokens, rounded up to the cent.

Which similar models can I try?

Common questions about DeepSeek V4.1 Flash 1017 Thinking

Where can I find more models?