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DeepSeek: DeepSeek R1

DeepSeek: DeepSeek R1

Open-Weight LLM for RAG, Reasoning, and Private AI Deployment via API

Context: 164 000 tokens
Output: 164 000 tokens
Modality:
Text
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Open-Weight Reasoning LLM for API-Based RAG, Agents, and Local AI Deployment

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DeepSeek R1 is the first open-weight large language model developed by DeepSeek, designed to rival proprietary LLMs in reasoning, coding, and research applications. Trained with 10T+ high-quality tokens and released under the permissive MIT license, R1 is optimized for retrieval-augmented generation (RAG), developer tools, and local inference use cases.

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Now available via AnyAPI.ai, DeepSeek R1 gives developers and ML teams full access to advanced generative AI capabilities - without vendor lock-in, expensive tokens, or closed black-box architectures.

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Key Features of DeepSeek R1

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MIT-Licensed Open Weights

Freely deploy, fine-tune, and distribute with full commercial rights and self-hosting capability.

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Strong Reasoning and Coding Performance

Benchmarks show R1 approaching or exceeding GPT-3.5 Turbo in math, logic, and code generation.

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Multilingual Capability

Supports English and several major languages for global application scenarios.

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Fast Inference with Customizable Runtime

Runs on both GPU and CPU setups using optimized weights; can be accessed instantly via AnyAPI.ai API.

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Use Cases for DeepSeek R1

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Retrieval-Augmented Generation (RAG)

Combine R1 with vector stores to power intelligent Q&A, support bots, and document agents.

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Coding Copilots and Scripting Tools

Use R1 to suggest functions, refactor code, or create bash/Python scripts in development environments.

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Internal QA and Knowledge Management

Deploy in enterprise search systems to parse long manuals, policy docs, or compliance databases.

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Offline and Private AI Assistants

Deploy DeepSeek R1 in fully private or air-gapped systems, including national cloud or edge compute.

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Multilingual Document Summarization

Summarize, translate, or annotate content in English, Chinese, and other supported languages.

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Why Use DeepSeek R1 via AnyAPI.ai

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No Hosting Required

Skip infrastructure setup—get instant API access to DeepSeek R1 with scalable endpoints.

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Unified API for Multiple Models

Integrate DeepSeek R1 alongside GPT-4o, Claude, Gemini, and Mistral in one platform.

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Flexible Usage Billing

Pay-as-you-go pricing with detailed usage metrics and team-level controls.

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Production-Ready Infrastructure

Monitor token counts, latency, and throughput from a real-time dashboard.

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Better Support and Reliability than OpenRouter

Access tuned environments with consistent uptime and premium provisioning.

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Use DeepSeek R1 for Transparent, High-Performance AI

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DeepSeek R1 combines open-source access, strong reasoning performance, and fast inference - ideal for RAG, internal AI agents, and coding copilots.

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Start using DeepSeek R1 via AnyAPI.ai - no setup, full control, real-time speed.

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Sign up, get your key, and start building today.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
DeepSeek: DeepSeek R1
Context Window
164k
Multimodal
No
Latency
Fast
Strengths
RAG, code, private LLMs
Get access
Model
OpenAI: GPT-3.5 Turbo
Context Window
16k
Multimodal
No
Latency
Very fast
Strengths
Affordable, fast, ideal for lightweight apps
Get access
Model
Anthropic: Claude Haiku 3.5
Context Window
200k
Multimodal
No
Latency
Ultra Fast
Strengths
Lowest latency, cost-effective, safe outputs
Get access
Model
Mistral: Mistral Medium
Context Window
32k
Multimodal
No
Latency
Very Fast
Strengths
Open-weight, lightweight, ideal for real-time
Get access
Model
OpenAI: o1-pro
Context Window
200k
Multimodal
Yes
Latency
Very Fast
Strengths
Customer tools, automation, scripting
Get access

Sample code for 

DeepSeek: DeepSeek R1

Python
JavaScript
Curl
import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "deepseek-r1",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "stream": False, "tool_choice": "auto", "logprobs": False, "model": "deepseek-r1", "messages": [ { "role": "user", "content": "Hello" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
  body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"deepseek-r1","messages":[{"role":"user","content":"Hello"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'}, body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"deepseek-r1","messages":[{"role":"user","content":"Hello"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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Code is copied
curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "stream": false,
  "tool_choice": "auto",
  "logprobs": false,
  "model": "deepseek-r1",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "stream": false, "tool_choice": "auto", "logprobs": false, "model": "deepseek-r1", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
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FAQs

Answers to common questions about integrating and using this AI model via AnyAPI.ai

Is DeepSeek R1 open-source?

Yes. It is MIT licensed, making it fully open-weight and enterprise-ready.

What tasks is DeepSeek R1 best at?

Reasoning-heavy tasks like coding, retrieval QA, document classification, and logic workflows.

Can I deploy DeepSeek R1 locally?

Yes. It runs on open-source runtimes or via API with AnyAPI.ai—ideal for hybrid cloud setups.

How does it compare to GPT-3.5 Turbo?

R1 offers similar or better performance on coding and RAG, with more flexibility and transparency.

Is DeepSeek R1 multilingual?

Yes. It supports multiple languages, including strong English and Chinese output.

Still have questions?

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