Almost everyone now knows about the DeepSeek R1 model, an open-source AI from China that took the internet by storm.
The main selling point of Dee...
For further actions, you may consider blocking this person and/or reporting abuse
Since Deepseek model is release, I've been using it since then. The only issue I have with it is that it just always has this issue of "Server is busy, please try again later"
Else everything about Deepseek feels good and I think I need no other models in my use case.
This is a great comparision post. Thank you for sharing! 👍🏽
Thanks for checking out, Bhaskar 🙌
What else to expect from a free model, though. 😮💨
I myself don't see much hype that should be around Grok 3. Even though it is being said, "best AI in the world right now", the metrics don't differ by much. And comparing that Deepseek r1 is a complete open-source model built as a side project of a developer, the way it is performing is phenomenal.
But hey, it is what it is! 🤷♂️
Never heard anyone complain on this issue that I was having, so I decided to use Ollama on Windows to run it locally.
Awesome Shrijal! 🔥 This looks quite detailed. Let me share it further :)
Thank you for checking it out, Anmol! Go ahead. 🙌
Nice analysis, great work.
Also,
🚀 I have Just finished my very first frontend challenge for Dev Community!
dev.to/web_dev-usman/discover-your...
Give your feedback there, and support me.
That's a good project you built. Nice work!
Interesting comparison! Grok 3 seems to be aiming for tight integration with X (formerly Twitter), while Deepseek R1 feels more research-focused, especially with its emphasis on reasoning capabilities. Performance-wise, both have their strengths — Grok with real-time data access, and Deepseek with its structured output and deeper context understanding.
By the way, if you’re creating any visuals or profile assets while sharing your benchmarks or results, this Stylish Name Generator came in handy for me — adds a nice touch to usernames or project titles.
Looking forward to more insights if you’re planning to do performance benchmarking or hands-on testing!
Thank you for checking! 🙌
Great post—thanks for shedding light on this! Grok 3 vs DeepSeek both platforms are pushing the boundaries of AI, but they seem to cater to slightly different audiences and use cases. Grok 3’s strength lies in its ability to handle complex, real-time data processing and its adaptability to dynamic environments. On the other hand, DeepSeek’s focus on deep learning and predictive analytics makes it a powerhouse for industries like finance, healthcare, and marketing.
Completely agree with you, Joyce! :D
Great post. Concerning coding, I just wrote this small post a few hours ago dealing with Grok3 and shader generation:
AI-Generated Shader Experiments: A Journey
Benny Schuetz ・ Feb 27
Wow, that's a good one. Thank you for sharing, @benny00100 ✌️
Grok 3 vs. DeepSeek R1: A Deep Analysis
The AI landscape has been significantly reshaped with the introduction of two formidable models: Grok 3 by xAI and DeepSeek R1 by the Chinese startup DeepSeek. Both models have garnered attention for their advanced capabilities, but they cater to different user needs and preferences.
In early 2025, two advanced AI models—Grok 3 by Elon Musk's xAI and DeepSeek R1 by Chinese AI firm DeepSeek—emerged, each bringing unique strengths to the AI landscape. While Grok 3 focuses on high-performance computing and real-time data processing, DeepSeek R1 emphasizes cost-efficiency and accessibility. This analysis delves into their key differences and performance benchmarks.
New York Post
+5
🙌
The landscape of large language models (LLMs) continues to evolve rapidly, with emerging contenders like Grok-3 and DeepSeek R1 pushing the boundaries of open and closed-source AI. Both models represent ambitious efforts to compete with titans like OpenAI, Anthropic, and Google DeepMind. But how do Grok 3 and DeepSeek R1 truly compare?
Integration: Deeply tied into X (formerly Twitter) as a conversational AI assistant.
Philosophy: Positioned as a "truth-seeking AI" with fewer political constraints, Grok is designed to answer questions with wit and a bit of attitude—mirroring Musk’s brand voice.
Closed-source: Proprietary model, not openly available for download or fine-tuning.
DeepSeek R1
Developer: DeepSeek (China-based research group)
Model Size: ~67B parameters
Philosophy: Research-driven, open-weight model designed to rival GPT-3.5/4 level performance. Focuses on reasoning, code generation, and open accessibility.
Open-source: Hugely beneficial to researchers and developers who want transparency and control.
Architecture & Capabilities
Feature Grok 3 DeepSeek R1
Parameters Not publicly disclosed (est. ~70B–100B) 67B
Architecture Transformer-based, fine-tuned on X platform data Dense Transformer, pre-trained on multilingual + code datasets
Context Length Unknown (likely 8k–16k) 32k tokens
Code Support Basic code generation, with sarcastic tone possible Strong code generation, GPT-4-level reasoning in benchmarks
Multimodal Grok 3 (planned or partial) Text-only in R1 (as of now)
Benchmark Performance
Grok 3:
Not many public benchmarks available.
Anecdotal reports suggest Grok 3 is comparable to GPT-3.5, with witty conversational abilities and real-time X integration.
Strengths lie in live internet querying, contextual integration, and personality.
DeepSeek R1:
Strong on academic benchmarks, often outperforming LLaMA 2 70B and matching GPT-3.5 Turbo on:
MMLU
GSM8K
HumanEval (code)
Weaknesses may include slightly less polish in natural conversation, though better raw reasoning.
Use Cases
Use Case Grok 3 DeepSeek R1
Casual Chat & Real-time Search Excellent (via X integration) Not designed for this
Research & Custom Fine-tuning Closed model Fully open weights
Code Generation & Reasoning Decent, personality-driven Excellent, GPT-4-like
Business/Enterprise Use Through X AI APIs (future plans) For teams building custom AI stacks
Open-Source vs. Closed
DeepSeek R1 wins for transparency, flexibility, and research potential. You can fine-tune it, run it locally, or embed it in enterprise solutions.
Grok 3 is currently only accessible via the X platform and aims to drive traffic and engagement to Musk’s ecosystem.
🧩 Conclusion: Which One Should You Use?
You're a... Choose... Why
Researcher or AI builder DeepSeek R1 Open-source, customizable, high performance
Casual user on X Grok 3 Fun, witty, real-time news-aware assistant
Developer needing high reasoning/code AI DeepSeek R1 Outperforms many closed models in logic-heavy tasks
Fan of Elon Musk or X ecosystem Grok 3 Deep integration with social platform, distinct tone
Final Thought:
Grok 3 is bold, personality-driven, and uniquely tied to a social platform. DeepSeek R1 is a technical powerhouse—open, research-grade, and surprisingly competitive with closed models. If you're choosing between the two, your goals—entertainment vs. engineering—will make the decision clear.
Love this ✌️
Really nice read, @shricodev! Even though I'm not into AI, the comparison feels to the point. 👏🏼
Thank you for checking out, @shekharrr 🙌
Really appreciate it.
Thank you, Shrijal. Means a lot. 😊
Good one sathi! 😍💥
Kasari yeti sab bhyauchau yaar garna, aja bihana clz ga theu haina ra?
Thank you, Aayush! 🙌
great
Thank you! 🙌
Deep seek model is the way. I love open source, you love open source, everyone loves open source.
Runs even on mobile phones
Woah! This has to be one of the coolest things. Running a complete LLM locally on a phone is something I had never imagined.
Thanks for sharing this, @martin_yuspi1976! ✌️
Great post. I just wrote a similar post about Grok3 dealing with shader generation.
AI Generated Shader Experiments
Thank you for sharing, Benny! I love it. 🔥 You've got a new follower.
That is a great comparison 🙂
The thing is that I am not so sure if we can rate an LLM based on a few questions.
This is meant to provide a general overview rather than a 100% comparison. eg, in the coding section, we can get a general sense that the Grok 3 LLM performs better at writing code compared to Deepseek r1, though this may not always be the case for every single question.
Just take it as a general overview. 😄
Got you.