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DeepSeek

UnclaimedEditor reviewed

Open-source large language and reasoning models, efficiently trained

AI AssistantsNLP ToolsAI Agents
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Coverage fromBloombergReuters
8 reviews tracked·397 press mentions

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Significantly lower costs compared to leading models

Biggest con

Server capacity issues during peak times

TL;DR - DeepSeek

  • 27x more cost-efficient than GPT-4
  • Open-source MIT-licensed models
  • Chain-of-thought reasoning for math and code
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms

What is DeepSeek?

Editorial review
DeepSeek is an AI lab that builds open-source large language models and reasoning models, released openly under permissive licenses. It is known for delivering strong performance with notably efficient, lower-cost training, which lets teams self-host or access the models cheaply via API.

Available on: Web, iOS, Android

how we evaluateSourcedeepseek.com ↗

Pros & Cons

Pros

  • Significantly lower costs compared to leading models
  • Open-source MIT-licensed models for self-hosting
  • Excellent performance on coding and math tasks
  • Chain-of-thought reasoning for complex problems
  • No vendor lock-in with self-hosting option

Cons

  • Server capacity issues during peak times
  • Data stored in China may raise privacy concerns
  • Weaker at creative writing compared to competitors
  • Occasional censorship on sensitive topics

Ratings Across the Web

4.5(8 reviews)
G28 reviews
4.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

DeepSeek-V3 and R1 large language modelsChain-of-thought visible reasoning64K token output supportAPI access with pay-per-token pricingSelf-hosting with MIT licenseCode generation and debuggingMathematical problem solving

Pricing Plans

Free Trial

Pricing checked Jun 7, 2026

Free

Free

Limited free usage

  • Basic API access
  • Rate limited

Pay-as-you-go

$0.07

Per million tokens

  • $0.07/M input (cache hit)
  • $0.56/M input (cache miss)
  • $1.68/M output tokens

On-premise

$18,000/year

Self-hosted deployment

  • Full infrastructure control
  • No API limits
  • Data stays on-premise
Calculate your costView full pricing

Reviews

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4.5/5

Across 8 verified user reviews on G2

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DeepSeek FAQ

What kind of AI tasks is DeepSeek particularly strong at handling?

DeepSeek excels in tasks requiring strong performance on coding and math, leveraging its efficient training for these specific areas. It also supports chain-of-thought reasoning, which is beneficial for solving complex problems.

How does DeepSeek's pricing model compare to other large language models?

DeepSeek offers a free tier for users to get started, with paid plans available for increased usage and additional features. This model aims to provide significantly lower costs compared to many leading proprietary models.

What are the main advantages of using DeepSeek's open-source models?

DeepSeek provides open-source, MIT-licensed models, which allows for self-hosting and avoids vendor lock-in. This gives teams greater control and flexibility over their AI infrastructure and data.

What are some potential drawbacks or limitations when using DeepSeek?

DeepSeek may experience server capacity issues during peak times, which can affect accessibility. Additionally, its models are weaker at creative writing compared to some competitors and may occasionally censor sensitive topics.

How does DeepSeek compare to Google Gemini for AI assistant applications?

DeepSeek offers open-source models with a focus on efficient training and lower costs, making it suitable for teams looking to self-host or access models cheaply via API. While Google Gemini is a proprietary offering, DeepSeek provides an alternative with strong performance in coding and math tasks.

Who would benefit most from using DeepSeek's language and reasoning models?

DeepSeek is best for teams and developers who require powerful open-source large language and reasoning models, particularly for coding and mathematical applications. Its cost-efficiency and self-hosting option make it ideal for those looking to avoid vendor lock-in and manage their own AI infrastructure.

Can DeepSeek's models be integrated into custom AI agent workflows?

Yes, DeepSeek's open-source large language and reasoning models are designed to be integrated into various applications, including custom AI agent workflows. Their permissive licenses and API access facilitate their use in building sophisticated AI agents.

Source: deepseek.com

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