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Tools/DeepSeek/vs OpenAI
DeepSeek

DeepSeek

llm-provider
vs
OpenAI

OpenAI

llm-provider

DeepSeek vs OpenAI — Comparison

Pain: 1/10019 integrations14 features
15 integrations10 features18,737,418 npm/wkVenture (Round not Specified)
The Bottom Line

DeepSeek offers a highly rated, open-source platform with strong performance for large-scale AI models, boasting 102,417 GitHub stars, while OpenAI is recognized for cutting-edge features and a strong community presence, with 18,737,418 npm downloads per week. Both are rated 4.5 out of 5 on review platforms, but DeepSeek is acclaimed for cost-efficiency, whereas OpenAI's pricing remains a contentious topic.

Best for

DeepSeek is the better choice when the focus is on developing custom AI solutions that require scalable, open-source models with a community-driven approach, ideally suited for teams with skilled developers interested in high-performance, cost-effective solutions.

Best for

OpenAI is the better choice when a company prioritizes advanced AI applications with strong community support and integration capabilities, suitable for larger teams that can invest in premium offerings for cutting-edge technological solutions.

Key Differences

  • 1.DeepSeek has a significantly higher GitHub presence with 102,417 stars compared to OpenAI's 10,775 stars, indicating a strong community engagement for open-source development.
  • 2.OpenAI provides advanced tiered pricing structures with a controversial $200/month ChatGPT Pro plan, whereas DeepSeek's pricing is less detailed but perceived as more cost-efficient in user discussions.
  • 3.In terms of market presence, OpenAI's model boasts 18,737,418 npm downloads per week, illustrating broad adoption, while DeepSeek emphasizes its technology with billions of parameters.
  • 4.DeepSeek offers unique features like Mixture of Experts (MoE) architecture and IndexCache for optimization, focusing on custom integrations via APIs, compared to OpenAI's frontier model readiness.
  • 5.OpenAI has extensive integration options including high-profile SaaS like Discord and Salesforce, contrasting with DeepSeek’s focus on cloud and developer tools like AWS, Kubernetes, and Docker.

Verdict

For businesses needing robust open-source solutions and cost-effective scaling, DeepSeek stands out, particularly for innovation-driven development teams. In contrast, OpenAI should be the choice for enterprises ready to leverage advanced AI features and integrations, provided they accept the higher costs associated with premium plans. The decision should align with the organization's focus on either open-source flexibility or premium-level integrations and community engagement.

Overview
What each tool does and who it's for

DeepSeek

深度求索(DeepSeek),成立于2023年,专注于研究世界领先的通用人工智能底层模型与技术,挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源,深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型,如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代

Users generally praise DeepSeek for its strong model performance and innovative approach, reflected by high overall ratings, notably 4.5 to 5 on G2. However, some mention potential cost concerns, particularly in AI benchmarking and token use, though exact pricing details were less discussed. The pricing seems to be perceived positively as part of broader cost-efficiency discussions on platforms like social media. DeepSeek holds a solid reputation as a top model in AI circles, often compared favorably alongside other leading AI platforms like Opus and GPT.

OpenAI

We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and benef

Users generally praise OpenAI for its advanced AI capabilities and innovative features, reflected in high ratings on review platforms. However, there is significant debate about the value of its pricing, particularly the $200 per month for ChatGPT Pro, with some users questioning its worth compared to the more affordable Plus plan. Overall, while OpenAI is recognized as a leader in AI development and securing substantial investments, its premium pricing may deter some potential users despite its promising advancements. The company's reputation remains strong, driven by continuous innovation and a focus on expanding AI applications.

Key Metrics
4.5★ (8)
Avg Rating
4.5★ (5)
35
Mentions (30d)
—
102,417
GitHub Stars
10,775
16,606
GitHub Forks
1,446
—
npm Downloads/wk
18,737,418
—
PyPI Downloads/mo
283,709,819
Mention Velocity
How discussion volume is trending week-over-week

DeepSeek

-80% vs last week

OpenAI

Stable week-over-week
Where People Discuss
Mention distribution across platforms

DeepSeek

Reddit
92%
YouTube
4%
Hacker News
2%
Lemmy
1%
Rss
1%

OpenAI

Reddit
99%
YouTube
1%
Community Sentiment
How developers feel about each tool based on mentions and reviews

DeepSeek

3% positive97% neutral0% negative

OpenAI

0% positive100% neutral0% negative
Pricing

DeepSeek

OpenAI

subscription + freemium + contract + per-seat + tieredFree tier
Model Pricing Comparison
Per-model input/output pricing (USD per 1M tokens)

DeepSeek

ModelInputOutput
deepseek-v3$0.27$1.10
deepseek-r1$0.55$2.19

OpenAI

ModelInputOutput
gpt-4.1$2.00$8.00
gpt-4.1-mini$0.40$1.60
gpt-4.1-nano$0.10$0.40
gpt-4o$2.50$10.00
gpt-4o-mini$0.15$0.60
gpt-4.5-preview$75.00$150.00
gpt-4-turbo$10.00$30.00
gpt-4$30.00$60.00
gpt-3.5-turbo$0.50$1.50
o3$10.00$40.00
o4-mini$1.10$4.40
o1$15.00$60.00
o1-preview$15.00$60.00
o1-mini$3.00$12.00
o3-mini$1.10$4.40
Cost at Scale
Estimated monthly cost range (cheapest → flagship model, 60/40 input/output ratio)
Usage TierDeepSeekOpenAI
Light1M tokens/mo$0.60 – $1$0.22 – $105
Growth50M tokens/mo$30 – $60$11 – $5,250
Scale500M tokens/mo$301 – $603$110 – $52,500
Use Cases
When to use each tool

Both tools (1)

Content generation for marketing

DeepSeek (9)

Natural language processing tasksCode generation and completionConversational AI applicationsData analysis and insights extractionAutomated customer support systemsResearch and development in AIIntegration into existing software solutionsReal-time language translationInteractive AI-driven educational tools

OpenAI (7)

Automated customer support chatbotsCode completion and debugging assistanceNatural language processing for data analysisPersonalized learning experiences in educationCreative writing and story generationSentiment analysis for social media monitoringVirtual assistants for task management
Features

Only in DeepSeek (14)

Open-source large language modelsMoE (Mixture of Experts) model architectureCustom training frameworkHigh-performance inference optimization with IndexCacheAPI access for seamless integrationSupport for billion-parameter modelsAdvanced natural language understandingCode generation capabilities with DeepSeek-CoderReal-time model updatesScalable computing resourcesMulti-language supportUser-friendly documentationCommunity-driven model improvementsPerformance benchmarking against peer models

Only in OpenAI (10)

Knowledge cut-off: Dec 1, 2025Knowledge cut-off: Aug 31, 2025GPT-5.5GPT-5.4GPT-5.4 miniStart building with frontier modelsPrompting guidanceFront-end coding examplesMigration supportCoding
Integrations

Shared (4)

Google Cloud PlatformSlackTrelloZapier

Only in DeepSeek (15)

AWSMicrosoft AzureKubernetesDockerJupyter NotebooksGitHubBitbucketPostmanTensorFlowPyTorchHugging FaceOpenAIFastAPIRedisElasticsearch

Only in OpenAI (11)

Microsoft TeamsAWS LambdaJiraDiscordSalesforceShopifyWordPressNotionHubSpotAsanaZoom
Developer Ecosystem
32
GitHub Repos
238
87,689
GitHub Followers
116,683
20
npm Packages
20
40
HuggingFace Models
40
What Users Say
Top reviews from G2, Capterra, and TrustRadius

DeepSeek

What do you like best about Deepseek?What I like best about Deepseek is that it offers strong AI capabilities for free. It’s fast, easy to use, and gives fairly accurate responses without forcing paid upgrades. For daily tasks like research, content drafting, and quick problem-solving, it works really well and feels very accessible. Review collected by and hosted on G2.com.What do you dislike about Deepseek?While Deepseek is good and free, it doesn’t yet match ChatGPT in terms of understanding complex prompts and giving very accurate, detailed responses. Even after explaining things properly, the output is sometimes not exactly what I expect. I also found the interface a bit confusing and not very smooth, so it takes extra effort to get comfortable with it. With better integrations and UI improvements, it can become much better. Review collected by and hosted on G2.com.

5.0\u2605Muzammil M.g2

What do you like best about Deepseek?Deepseek feels like a personal and professional advisor, always ready to help me no matter what situation I encounter. Review collected by and hosted on G2.com.What do you dislike about Deepseek?I have nothing negative to say about Deepseek. Review collected by and hosted on G2.com.

5.0\u2605Lindokuhle S.g2

What do you like best about Deepseek?It is easy to use and generates better results. Review collected by and hosted on G2.com.What do you dislike about Deepseek?The ability to filter responses and the length of chat. Review collected by and hosted on G2.com.

5.0\u2605tabatha f.g2

OpenAI

What do you like best about Openai?OpenAI has been a game-changer in how people interact with technology. Its tools are intuitive, fast, and genuinely helpful for everything from learning to productivity. The responses feel natural and human-like, making complex tasks much easier. Overall, it’s an impressive step forward in AI innovation. Review collected by and hosted on G2.com.What do you dislike about Openai?While OpenAI tools are powerful, they can sometimes give incorrect or outdated information. Responses may feel overly cautious or generic at times, and there are limits on deeper customization. Occasionally, it also struggles with understanding very specific or nuanced queries. Review collected by and hosted on G2.com.

5.0\u2605Lavi G.g2

What do you like best about Openai?What I like best about OpenAI, as someone building internal AI agents, is how quickly we can go from a concept to something real that people can use. The APIs are straightforward, the documentation is good enough to get up and running fast, and there’s a wide range of models and features to choose from. That combination of ease of integration and depth of capabilities lets us experiment, iterate, and then standardize on the patterns that work across the business. Once things are in place, our teams end up using these AI-powered workflows constantly because they’re embedded right into the tools they already work in. Review collected by and hosted on G2.com.What do you dislike about Openai?From an enterprise admin perspective, the main friction points are around control and operational overhead. The core APIs are easy to integrate, but getting to a fully production-ready setup, prompt design, evaluation, monitoring, governance, and cost management takes real effort. The feature set is rich, but that also means there’s a learning curve to choosing the right models and configurations for each use case. Support and guidance have improved, but I’d still like more opinionated best practices and examples geared specifically toward larger teams rolling out multiple agents across the organization. Review collected by and hosted on G2.com.

4.5\u2605Jerrid C.g2

What do you like best about Openai?It gives quick explanations, supports me with writing and coding tasks, and makes it easier to learn new topics without spending a lot of time searching online. Review collected by and hosted on G2.com.What do you dislike about Openai?Sometimes the responses aren’t fully accurate or up to date, so it’s a good idea to double-check any important information. Review collected by and hosted on G2.com.

4.5\u2605Omkar M.g2
Pain Points
Top complaints from reviews and social mentions

DeepSeek

token cost (4)token usage (2)API costs (2)cost per token (2)cost tracking (2)claude code cost (1)large language model (1)llm (1)foundation model (1)spending limit (1)

OpenAI

token usage (7)API bill (2)cost tracking (1)openai bill (1)token cost (1)spending too much (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

DeepSeek

token cost (4)token usage (2)API costs (2)cost per token (2)cost tracking (2)claude code cost (1)large language model (1)llm (1)foundation model (1)spending limit (1)

OpenAI

token usage (7)API bill (2)cost tracking (1)openai bill (1)token cost (1)spending too much (1)
Product Screenshots

DeepSeek

DeepSeek screenshot 1

OpenAI

OpenAI screenshot 1OpenAI screenshot 2
What People Talk About
Most discussed topics from community mentions

DeepSeek

pricing4
open source4
cost optimization4
performance3
security3
scalability3
model selection3
api3

OpenAI

Top Community Mentions
Highest-engagement mentions from the community

DeepSeek

How it feels to do biotech in 2026

How it feels to do biotech in 2026

Redditby EchoOfOppenheimer source

OpenAI

AI quietly turned HTML into a real alternative to PowerPoint and Word for client-facing docs. The blockers that made it impractical a year ago are falling one by one.

A year ago, generating a polished document as HTML instead of a PPT or a Word file was a fun idea with too many practical problems. Lately I've noticed every one of those blockers either gone or close to gone, and I've quietly stopped reaching for Office on a bunch of deliverables. Curious if others

Redditby Hairy-Fisherman8008 source
Company Intel
information technology & services
Industry
research
170
Employees
8,200
—
Funding
$287.3B
—
Stage
Venture (Round not Specified)
Supported Languages & Categories

Only in DeepSeek (5)

深度求索AGI人工智能底层模型开源模型LLM

Only in OpenAI (3)

AI/MLSecurityDeveloper Tools
Frequently Asked Questions
Is DeepSeek or OpenAI better for automated customer support?▼

OpenAI might be better for automated customer support due to its extensive integration possibilities and established use cases in virtual assistants.

How does DeepSeek pricing compare to OpenAI?▼

While OpenAI's pricing is known for its high premium options, DeepSeek's pricing is lauded for being cost-effective but lacks detailed public description.

Which has better community support, DeepSeek or OpenAI?▼

DeepSeek appears to have more robust community support evidenced by its 102,417 GitHub stars, whereas OpenAI benefits from widespread adoption, as seen in npm downloads.

Can DeepSeek and OpenAI be used together?▼

Yes, both can complement each other; using DeepSeek's large model capabilities with OpenAI's advanced applications could be a strategic advantage.

Which is easier to get started with, DeepSeek or OpenAI?▼

OpenAI might be easier for beginners due to its comprehensive documentation and accessibility of lower-tier plans, whereas DeepSeek might require more technical expertise given its focus on open-source and customization.

View DeepSeek Profile View OpenAI Profile