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LLM API
DeepSeekText generationReleased October 17, 2026

DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 costs $0.24 per 1M input tokens and $0.96 per 1M output tokens on LLM API, with a 1M-token context window.

Pricing

Lowest price among 7 providers, after discounts.

DeepSeek V4.1 Flash 1017 prices on LLM API
Input$0.24per 1M tokens
Output$0.96per 1M tokens
Cache read$0.0048per 1M tokens
Cache write, 5 minutes$0.3per 1M tokens

Providers

Prices after each provider’s discount; the lowest in bold.

Providers of DeepSeek V4.1 Flash 1017 on LLM API
Alibaba Cloud$0.3$1.2$0.0061M384K
Together AI$0.3$1.2$0.0061M384K
Novita AI$0.3$1.2$0.0061M384K
Melious$0.354$1.416$0.03541M384K
DeepSeek$0.3$1.2$0.0061M384K
Boundless$0.24$0.96$0.00481.05M384K
CanopyWave$0.3$1.2$0.041M384K

Features

“Some providers”: not every provider of this model supports it.

  • ToolsYes
  • Parallel tool callsNo
  • Image inputYes
  • ReasoningYes

    Levels: low, high, max · default high

  • Prompt cachingYes
  • Structured outputsSome providers
  • JSON modeYes
  • StreamingYes
  • Web searchYes

Call DeepSeek V4.1 Flash 1017

POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs

import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.chat.completions.create(
    model="deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

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