AI Tools Review

DeepSeek: DeepSeek V3

By Deepseek

Released: 2024-12-26

API
LLM
RAG
Deepseek
Paid
New

Deepseek Deepseek Chat, developed by DeepSeek, features 164k-token context window. DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models. For model details, please visit [the DeepSeek-V3 repo](https://github.com/deepseek-ai/DeepSeek-V3) for more information, or see the [launch announcement](https://api-docs.deepseek.com/news/news1226). Available at $0.3/1M tokens.

Visit DeepSeek: DeepSeek V3

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Deepseek Model Timeline

DeepSeek: DeepSeek V3.2 Speciale

164k tokens context

DeepSeek: DeepSeek V3.2

164k tokens context

DeepSeek: DeepSeek V3.2 Exp

164k tokens context

DeepSeek: DeepSeek V3.1 Terminus (exacto)

164k tokens context

DeepSeek: DeepSeek V3.1 Terminus

164k tokens context

DeepSeek: DeepSeek V3.1

33k tokens context

DeepSeek: R1 0528 (free)

164k tokens context

DeepSeek: R1 0528

164k tokens context

DeepSeek: DeepSeek V3 0324

164k tokens context

DeepSeek: R1 Distill Qwen 32B

33k tokens context

DeepSeek: R1 Distill Llama 70B

131k tokens context

DeepSeek: R1

64k tokens context

DeepSeek: DeepSeek V3Current

164k tokens context

Specifications

pricing$0.30 / $1.20 (per 1M)
context Window164k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.

Pros

  • 164k token context window
  • Strong code generation and debugging
  • Natural conversation flow
  • Optimized for RAG workflows

Cons

  • May lack creative flair
  • API integration required