DeepSeek V4.1 Flash 1017:thinking API

DeepSeek's DeepSeek V4.1 Flash 1017:thinking, through an OpenAI-compatible API. 2 providers quote it now, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send deepseek-v4.1-flash-1017:thinking as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: deepseek-v4.1-flash-1017:thinking
Maker: DeepSeek
Context window: 1M tokens
Input price: $0.265 to $0.392 per million tokens
Output price: $0.012 to $0.983 per million tokens
Providers: 2 independent providers
Regions: global, us

Providers

Munito AI: global, $0.265 input and $0.983 output per million tokens, $0.0053 cache read per million tokens, 1M tokens of context
Pera: us, $0.392 input and $0.012 output per million tokens, $0.392 cache read per million tokens, $0.018 fee for each request, 1M tokens of context

Scores

Intelligence: 32.6, #13 of 41
HLE: 43.3, #23 of 273
AA-LCR: 82.7, #21 of 237
SciCode: 55.9, #23 of 123
SimpleQA Verified: 42.5, #49 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4.1-flash-1017:thinking",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is DeepSeek V4.1 Flash 1017:thinking?: DeepSeek V4.1 Flash 1017:thinking is a model from DeepSeek.
How much does DeepSeek V4.1 Flash 1017:thinking cost?: Offers now ask $0.265 to $0.392 per million input tokens and $0.012 to $0.983 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of DeepSeek V4.1 Flash 1017:thinking?: The largest offer takes 1,048,576 input tokens. One job can generate up to 131,072 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can DeepSeek V4.1 Flash 1017:thinking do?: Its providers list Vision, Reasoning effort, JSON object, JSON schema, Frequency penalty, Log probabilities, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does DeepSeek V4.1 Flash 1017:thinking support?: Text · Images → Text.
Which providers serve DeepSeek V4.1 Flash 1017:thinking?: 2 independent providers quote it now, with 2 offers. The table above ranks them by the cost of a typical job.
How do I call DeepSeek V4.1 Flash 1017:thinking?: Send "deepseek-v4.1-flash-1017:thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was DeepSeek V4.1 Flash 1017:thinking listed?: The exchange first listed it on 10/17/2026. This is not its release date.