DeepSeek R1 API
Reasoning specialist with step-by-step thinking. Excellent for complex math and logic problems.
💰 Save up to 70% vs official DeepSeek pricingDeepSeek R1 — cheaper than the official DeepSeek API
Access DeepSeek R1 through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | DeepSeek |
| Model Family | DeepSeek R1 |
| Release Date | 2025-01 |
| Context Window | 128K |
| Max Output Tokens | 32,768 |
| Input Price | $0.70 / 1M tokens |
| Output Price | $2.50 / 1M tokens |
| Vision Support | No |
| Function Calling | No |
| JSON Mode | No |
| Streaming | No |
| Fine Tuning | Not Available |
| Status | Active ✓ |
Overview
DeepSeek R1 is DeepSeek's current deepseek model, released in 2025-01. Reasoning specialist with step-by-step thinking. Excellent for complex math and logic problems.
For developers, the headline numbers are a 128K context window and up to 32,768 output tokens per response — enough headroom for chain-of-thought and math expert without chunking your input. Priced at $0.70/1M input and $2.50/1M output, it sits in the budget tier — ideal for high-volume pipelines where token cost dominates.
On the capability side, DeepSeek R1 exposes 3 features: Chain-of-Thought, Math, Reasoning. Note that fine-tuning isn't supported — you'll work with the base model. It's text-only, so route image or audio workloads elsewhere.
The practical appeal of routing DeepSeek R1 through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds — just swap your base URL.
What Makes DeepSeek R1 Different
How DeepSeek R1 is used
DeepSeek R1 is deployed for problems that need structured thinking — math derivations, logic puzzles, scientific analysis, and multi-step research synthesis. The reasoning chain adds latency, so reserve it for tasks where a standard chat model produces shallow or incorrect answers. For routine Q&A and summarization, a cheaper sibling model is more cost-effective.
Pricing position within DeepSeek
DeepSeek R1 is the most expensive active model from DeepSeek at $0.70/1M input — the premium tier. The cheapest sibling costs $0.23/1M (67% less). Reserve DeepSeek R1 for tasks where its capabilities justify the premium; route bulk traffic to cheaper siblings.
DeepSeek R1's role in the lineup
Within DeepSeek's lineup, DeepSeek R1 is the flagship — the most capable and most expensive option. It's part of the deepseek family (5 active variants share this family). Use it when quality matters more than cost; switch to a cheaper sibling for high-volume or less demanding tasks.
Real-world use cases
Real-world deployments: math problem solving, scientific research synthesis, multi-step logical analysis, and structured decision support systems. DeepSeek R1 excels where standard chat models produce shallow answers — the reasoning chain catches edge cases that faster models miss.
vs sibling models
What makes DeepSeek R1 different from sibling models: compared to DeepSeek V4 Pro ($0.15/1M cheaper, same 128K context); DeepSeek V4 Flash ($0.43/1M cheaper, same 128K context); DeepSeek Chat ($0.43/1M cheaper, same 128K context). Choose DeepSeek R1 when step-by-step reasoning matters more than speed.
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"}
]
}'Supported Features
| Vision / Image Input | ❌ Not Available |
| Audio / Voice Input | ❌ Not Available |
| Function Calling | ❌ Not Available |
| JSON Mode | ❌ Not Available |
| Streaming | ❌ Not Available |
| Fine-Tuning | ❌ Not Available |
| Multimodal | ❌ Not Available |
Benchmark Scores
| Benchmark | Score |
|---|---|
| MMLU | Not Publicly Available |
| GPQA | Not Publicly Available |
| SWE-Bench | Not Publicly Available |
| HumanEval | Not Publicly Available |
| GSM8K | Not Publicly Available |
| MATH | Not Publicly Available |
| MMMU | Not Publicly Available |
Pricing History
DeepSeek R1 was released in 2025-01 by DeepSeek and is currently publicly available via AI API Hub.
Current Pricing: $0.70 per 1M input tokens · $2.50 per 1M output tokens. Pay-as-you-go with no minimum commitment.
Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs.
💡 DeepSeek occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC — no currency conversion fees.
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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 offers a 128K context window and supports Chain-of-Thought, Math, Reasoning. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does DeepSeek R1 cost?
DeepSeek R1 is priced at $0.70 per 1M input tokens and $2.50 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.
DeepSeek R1 vs GPT-5.5?
They're built for different jobs. DeepSeek R1 costs $0.70/1M input with a 128K window; GPT-5.5 runs $5.00/1M input with 256K. DeepSeek R1 is the more cost-effective pick and still brings chain-of-thought. See the full side-by-side 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.