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DeepSeek R1 API

Reasoning specialist with step-by-step thinking. Excellent for complex math and logic problems.

💰 Save up to 70% vs official DeepSeek pricing
INPUT / 1M tokens
$0.70
OUTPUT / 1M tokens
$2.50
CONTEXT WINDOW
128K

Technical Specifications

ProviderDeepSeek
Model FamilyDeepSeek R1
Release Date2025-01
Context Window128K
Max Output Tokens32,768
Input Price$0.70 / 1M tokens
Output Price$2.50 / 1M tokens
Vision SupportNo
Function CallingNo
JSON ModeNo
StreamingNo
Fine TuningNot Available
StatusActive ✓

Overview

DeepSeek R1 is DeepSeek's current deepseek-class AI model, released in 2025-01. Reasoning specialist with step-by-step thinking. Excellent for complex math and logic problems.

With a 128K context window and maximum output of 32,768 tokens, DeepSeek R1 is well-suited for chain-of-thought and math expert. At $0.70/1M input and $2.50/1M output, it offers extremely competitive pricing within the DeepSeek ecosystem.

DeepSeek R1 supports 3 capabilities: Chain-of-Thought, Math, Reasoning. Fine-tuning is not available for this model. The model serves as an chain-of-thought solution for developers building text-based AI applications.

Through AI API Hub, you can access DeepSeek R1 with USDT & USDC payments, no credit card required. All via a fully OpenAI-compatible API — just change your base URL and start building in 30 seconds.

API Examples

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.apiyihe.org/v1"
)

response = client.chat.completions.create(
    model="deepseek-r1",
    messages=[
        {"role": "user", "content": "Hello"}
    ]
)

print(response.choices[0].message.content)

JavaScript / Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.apiyihe.org/v1"
});

const response = await client.chat.completions.create({
  model: "deepseek-r1",
  messages: [
    { role: "user", content: "Hello" }
  ]
});

console.log(response.choices[0].message.content);

cURL

curl https://api.apiyihe.org/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "deepseek-r1",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

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Frequently Asked Questions

What is DeepSeek R1?

DeepSeek R1 is DeepSeek's current deepseek model. Reasoning specialist with step-by-step thinking. Excellent for complex math and logic problems.. It features a 128K context window, supports Chain-of-Thought, Math, Reasoning, and is available through AI API Hub with USDT/USDC payments.

How much does DeepSeek R1 cost?

DeepSeek R1 pricing: $0.70 per 1M input tokens, $2.50 per 1M output tokens. Pay-as-you-go with no minimum commitment. Sign up at AI API Hub and start with as little as $5.

DeepSeek R1 vs GPT-5.5?

DeepSeek R1: $0.70/$1M input, 128K context. GPT-5.5: $5.00/$1M input, 256K context. DeepSeek R1 is more cost-effective. Chain-of-thought. Compare them at /compare/deepseek-r1-vs-gpt-5.5/.

DeepSeek R1 context window?

DeepSeek R1 has a 128K context window, capable of processing up to 128,000 tokens in a single request. Maximum output tokens: 32,768.

Does DeepSeek R1 support function calling?

No, DeepSeek R1 does not natively support function calling. For function calling use cases, consider DeepSeek's flagship models.

Is DeepSeek R1 multimodal?

No, DeepSeek R1 is a text-only model. For multimodal use cases, consider models with vision/audio capabilities.

DeepSeek R1 API rate limits?

DeepSeek R1 rate limits: 2K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider DeepSeek's faster variant models.

How to access DeepSeek R1 API?

Access DeepSeek R1 through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "deepseek-r1". Start building in under 30 seconds.

Get DeepSeek R1 API Access

Pay with USDT & USDC. Same model, up to 70% less.

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