How much does Deepseek V3.1 cost?

Deepseek V3.1 is billed pay-as-you-go at $0.87 per 1M input tokens and $2.58 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Deepseek V3.1?

Deepseek V3.1 supports a context window of up to 131K tokens. It can return up to 7K tokens in a single response.

What can Deepseek V3.1 do?

Deepseek V3.1 supports Tool calling, Prompt caching.

Is Deepseek V3.1 free to use?

Deepseek V3.1 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Deepseek V3.1 via the API?

Deepseek V3.1 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID deepseek-v3.1 with your Api.Airforce API key.

Who makes Deepseek V3.1?

Deepseek V3.1 is DeepSeek's chat model, served through the unified Api.Airforce gateway alongside 65+ other models.

DeepSeekPaidOperational

Deepseek V3.1

API model name: deepseek-v3.1

Deepseek V3.1 is DeepSeek's chat model, served on the Api.Airforce unified API. It has a 131K-token context window. Capabilities include Tool calling, Prompt caching. It is priced at $0.87 per million input tokens and $2.58 per million output tokens. Knowledge cutoff: 2025-03. Access it through the OpenAI-compatible API with one key, alongside 65+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.87

Output / 1M tokens

$2.58

Specifications

Provider: DeepSeek
Type: chat model
Context window: 131K tokens
Max output: 7K tokens
Knowledge cutoff: 2025-03
Input: text
Output: text
Prompt caching: Supported

Capabilities

Tool callingPrompt cachingStreaming

What is Deepseek V3.1 used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Agents & automation — function calling and tool use for multi-step workflows.
Real-time experiences — stream tokens for responsive chat and apps.

Deepseek V3.1 vs. similar models

Model	Context	Input / 1M	Output / 1M
Deepseek V3.1	131K	$0.87	$2.58
Deepseek	64K	$0.87	$3.42
Deepseek R1	64K	$0.87	$3.42
Deepseek R1 250528	—	$0.87	$3.42

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Deepseek V3.1 — frequently asked questions

How much does Deepseek V3.1 cost?: Deepseek V3.1 is billed pay-as-you-go at $0.87 per 1M input tokens and $2.58 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Deepseek V3.1?: Deepseek V3.1 supports a context window of up to 131K tokens. It can return up to 7K tokens in a single response.
What can Deepseek V3.1 do?: Deepseek V3.1 supports Tool calling, Prompt caching.
Is Deepseek V3.1 free to use?: Deepseek V3.1 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Deepseek V3.1 via the API?: Deepseek V3.1 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID deepseek-v3.1 with your Api.Airforce API key.
Who makes Deepseek V3.1?: Deepseek V3.1 is DeepSeek's chat model, served through the unified Api.Airforce gateway alongside 65+ other models.

All models·Quickstart·Chat API reference

Use Deepseek V3.1 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass deepseek-v3.1 as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v3.1",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="deepseek-v3.1",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "deepseek-v3.1",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);