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DeepSeek: DeepSeek V3

DeepSeek: DeepSeek V3

Open-Weight Flagship Model for Coding, Reasoning, and RAG at API Scale

Context: 164 000 tokens
Output: up to 164 000 tokens
Modality:
Text
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Open-Source Flagship LLM for Reasoning, Coding, and RAG via API

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DeepSeek V3 is the latest open-weight flagship model from DeepSeek, designed to compete with top-tier closed LLMs like GPT-4 and Claude Opus in both reasoning and code generation. Released under the MIT license, DeepSeek V3 is trained on 10T+ high-quality tokens and evaluated to perform at Claude 3 Sonnet or GPT-4 Turbo levels for many tasks.

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Available now via AnyAPI.ai, DeepSeek V3 gives developers and AI teams access to a high-performance, open model through API endpoints, making it ideal for enterprise-scale tools, autonomous agents, and hybrid search applications.

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Key Features of DeepSeek V3

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MIT Open License with Commercial Rights

Run, host, and modify the model freely for production use—locally or via the cloud.

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Top-Tier Reasoning and Coding Performance

Outperforms GPT-3.5 Turbo and rivals GPT-4 on math, code generation, and multi-turn tasks.

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Multilingual and Alignment-Aware

Supports fluent interaction in multiple languages with strong instruction-following ability.

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Built for Scalable API and Local Use

Whether you want to access it via API, Hugging Face, or bare metal—DeepSeek V3 is deployment-ready.

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Use Cases for DeepSeek V3

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Code Copilots and IDE Integration

Build intelligent developer assistants for autocompletion, documentation, and error explanation.

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Retrieval-Augmented Generation (RAG)

Combine V3 with vector databases and grounding sources for accurate, context-aware answers.

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Autonomous Agents and Planners

Power task solvers, multi-agent systems, and product workflow automation with reliable reasoning.

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Enterprise NLP Tools

Use DeepSeek V3 for classification, summarization, entity recognition, or domain-specific QA.

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Secure On-Premise AI Deployment

Compliant with open-weight and privacy mandates in regulated industries.

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Why Use DeepSeek V3 via AnyAPI.ai

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No Setup or Infrastructure Required

Skip model weights and container deployment—access DeepSeek V3 with a single API call.

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Unified SDK for All Models

Integrate DeepSeek V3 alongside GPT-4, Claude, Gemini, and Mistral with one API key.

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Cost-Optimized for Frequent Use

Get premium model performance without premium pricing.

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Better Latency and Stability Than HF Inference or OpenRouter

Production-tuned endpoints ensure consistent availability.

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Full Analytics and Logging

Track prompt history, token usage, and performance metrics in real-time.

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Build AI Products with DeepSeek V3 and Full Control

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DeepSeek V3 is one of the most powerful open-weight models available - ideal for teams needing transparency, performance, and flexibility.

Start building with DeepSeek V3 via AnyAPI.ai - scale up reasoning, coding, and intelligent agents with no setup required.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
DeepSeek: DeepSeek V3
Context Window
32k
Multimodal
Yes
Latency
Fast
Strengths
Coding, RAG, agents, enterprise apps
Get access
Model
OpenAI: GPT-4 Turbo
Context Window
128k
Multimodal
Yes
Latency
Very High
Strengths
Production-scale AI systems
Get access
Model
Anthropic: Claude 4 Opus
Context Window
200k
Multimodal
No
Latency
Fast
Strengths
Deep reasoning, high alignment, long context
Get access
Model
Mistral: Mistral Large
Context Window
128k
Multimodal
No
Latency
Fast
Strengths
Open-weight, cost-efficient, customizable
Get access
Model
DeepSeek: DeepSeek R1
Context Window
164k
Multimodal
No
Latency
Fast
Strengths
RAG, code, private LLMs
Get access

Sample code for 

DeepSeek: DeepSeek V3

Python
JavaScript
Curl
import requests
import json

response = requests.post(
  url="https://openrouter.ai/api/v1/chat/completions",
  headers={
    "Authorization": "Bearer <OPENROUTER_API_KEY>",
    "Content-Type": "application/json",
    "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
    "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
  },
  data=json.dumps({
    "model": "deepseek/deepseek-chat-v3-0324:free",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ],
    
  })
)
import requests import json response = requests.post( url="https://openrouter.ai/api/v1/chat/completions", headers={ "Authorization": "Bearer <OPENROUTER_API_KEY>", "Content-Type": "application/json", "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai. "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai. }, data=json.dumps({ "model": "deepseek/deepseek-chat-v3-0324:free", "messages": [ { "role": "user", "content": "What is the meaning of life?" } ], }) )
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fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <OPENROUTER_API_KEY>",
    "HTTP-Referer": "<YOUR_SITE_URL>", // Optional. Site URL for rankings on openrouter.ai.
    "X-Title": "<YOUR_SITE_NAME>", // Optional. Site title for rankings on openrouter.ai.
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "deepseek/deepseek-chat-v3-0324:free",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })
});
fetch("https://openrouter.ai/api/v1/chat/completions", { method: "POST", headers: { "Authorization": "Bearer <OPENROUTER_API_KEY>", "HTTP-Referer": "<YOUR_SITE_URL>", // Optional. Site URL for rankings on openrouter.ai. "X-Title": "<YOUR_SITE_NAME>", // Optional. Site title for rankings on openrouter.ai. "Content-Type": "application/json" }, body: JSON.stringify({ "model": "deepseek/deepseek-chat-v3-0324:free", "messages": [ { "role": "user", "content": "What is the meaning of life?" } ] }) });
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Code is copied
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -d '{
  "model": "deepseek/deepseek-chat-v3-0324:free",
  "messages": [
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
  
}'
curl https://openrouter.ai/api/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENROUTER_API_KEY" \ -d '{ "model": "deepseek/deepseek-chat-v3-0324:free", "messages": [ { "role": "user", "content": "What is the meaning of life?" } ] }'
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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 V3 open-source?

Yes, released under the MIT license with full commercial usage rights.

How does it compare to GPT-4?

While not as aligned on edge cases, V3 offers comparable performance in reasoning and coding.

Can I use DeepSeek V3 for RAG?

Yes, it supports long context and performs well in retrieval-augmented generation tasks.

Is DeepSeek V3 better than R1?

Yes, it outperforms R1 across all benchmarks including math, code, and QA.

Can I host it privately?

Absolutely. DeepSeek V3 is available for local deployment on GPU or cloud infrastructure.

Still have questions?

Contact us for more information

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