Cost Effective.
With superior inference infrastructure, we are able to provide extremely cost competitive API service for DeepSeek R1 model!
About our DeepSeek R1 API!
Capabilities from the production model page.
Adequate Token Throughput.
We work hard to keep our output token per seconds (TPS) level of 6 words per second for our users and their applications!
Reinforcement Learning.
R1-Zero demonstrates chain-of-thought (CoT) purely through reinforcement learning (RL), without relying on supervised fine-tuning (SFT).
Multi-Stage Training with Cold Start Data.
DeepSeek incorporates cold-start data to fine-tune the base model, with reasoning-oriented RL, rejection sampling, and supervised fine-tuning, achieving performance comparable to OpenAI-o1-1217.
Distillation for Smaller Models.
DeepSeek enables the distillation of reasoning capabilities into smaller dense models. By fine-tuning open source models like Qwen and Llama with the 800k samples from R1.
Strong Performance across Diverse Tasks.
R1 scores 79.8% Pass@1 on AIME 2024, and 97.3% on MATH - 500, on par with OpenAI-o1-1217. It also excels in coding-related tasks, achieving a high rating on Codeforces, and in other tasks such as creative writing, general question answering, and long - context understanding
Easy Setup and Integration.
Integrating our API is a hassle-free setup process with simple HTTPs calls, making it easy to integrate within any tech stack.
Webhook.
We will notify you of a completed task through our webhook feature, to avoid repeated fetch calls made through the network.
Get started
Create your API key
Sign up and grab an API key from the PiAPI workspace — free credits are included on sign-up.
Top up credits
Add credits on the billing page when you are ready to scale beyond the free tier.
Call the API
POST your first task following the API docs, then poll the task until the result is ready.
Iterate with the API
Use the API docs and the request example above to iterate on prompts and settings before wiring them into your product.
Frequently asked questions
What is PiPAI's DeepSeek API?
Our DeepSeek API is provided on into their own apps or platforms!
Who is the intended user for the DeepSeek API?
The DeepSeek API is created for developers who want to incorporate state of the art language and reasoning capabilities into their generative AI applications. This feature is ideal for any AI powered coding assistants, literature review, documentation summary, translation applications, marketing and advertising related applications.
How to get started with integrating the API?
After registering for an account on PiAPI, you will get some free credits to try the API. Using your own API-KEY you can start making HTTPs calls to the API!
How do I make calls to the API?
You can call our API using HTTPS Post and Get methods from within your application. A wide range of programming languages that support HTTP methods (ex. Python, JavaScript, Ruby, Java, etc.) can be used to make the call!
Is there a limit to the total number of requests or concurrent number of requests I can make?
We will queue your concurrent jobs if the number of your concurrent jobs exceeds a certain threshold. In terms of total number of requests, you can make as many requests as your credit amount allows.
How does the API handle errors?
Our API returns error codes and messages in the HTTP response to help identify the issue. Please refer to our documentation for more details.
Can you provide dedicated deployment for this API?
Yes, absolutely! We provide custom solutions for clients with specialized requirements (ex. low latency, higher concurrency, fine-tuned DeepSeek models, etc), and we do provide cost-effective and performance-enhanced solutions for these LLM usecases!
What is the license for the DeepSeek model?
The DeepSeek Models have a custom open-source licenseand it is permissible for commercial use for any lawful purpose. Developers do not need to register or apply with DeepSeek before using the open-source models. Developer can also develop derivative models and product applications based on the Models.
What is the pricing options for the API?
We offer the API through a pay-as-you-use system, you can purchase credits on our Workspace and monitor the remaining credits. The per-use cost of the API is reflected on upper portion this page. Please note that the credits purchased do expire in 180 days after purchase.
How do I pay for this API?
We have integrated Stripe in our payment system, which will allow payments to be made from most major credit card providers.
More questions? See the API docs.