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DeepSeek-V3

Chinese frontier model rivalling GPT-4 — fully open weights

Open-Weight Models MIT Local / Cloud Intermediate

Stats

GitHub stars★ 95k+
LicenseMIT
HostingLocal / Cloud
DifficultyIntermediate

Get started

Official docs and GitHub repo

Visit DeepSeek-V3 ↗ View on GitHub ↗

What is DeepSeek-V3?

DeepSeek-V3 stunned the AI world by delivering benchmark results rivalling GPT-4o while releasing full model weights under MIT license. Built on a Mixture-of-Experts (MoE) architecture, it excels at coding, maths, and reasoning. 128K context window. Can be run with vLLM or Ollama on capable hardware.

Quick start

1

Download via Hugging Face (671B params — needs powerful hardware)

2

For local use: ollama run deepseek-v3

3

Use DeepSeek API for cloud access (cheap)

4

Or run quantized versions (Q4, Q8) on consumer GPUs

Use cases

Advanced coding assistance

Mathematical reasoning

Long-context document analysis

Cost-efficient deployment

Compatible models

DeepSeek-V3 671BDeepSeek-R1 (reasoning)DeepSeek-Coder-V2

Why this matters for India

// india context

DeepSeek API is extremely cheap — comparable to Llama pricing but with frontier quality. Good option for Indian startups watching API costs.