Software Alternatives, Accelerators & Startups
Register | Login

OpenAI Codex CLI VS LM Studio

Compare OpenAI Codex CLI VS LM Studio and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

OpenAI Codex CLI logo OpenAI Codex CLI

Frontier reasoning in the terminal

LM Studio logo LM Studio

Discover, download, and run local LLMs
Not present
Not present

OpenAI Codex CLI features and specs

  • Efficiency
    Codex CLI allows developers to generate code snippets quickly, improving productivity and reducing the time spent on manual coding tasks.
  • Ease of Use
    With natural language processing capabilities, Codex CLI allows users to interact with the tool using simple commands, making it accessible even for those with limited programming knowledge.
  • Integration
    Codex CLI can be integrated into various development environments, allowing seamless transition between AI-assisted coding and traditional coding workflows.
  • Iterative Feedback
    The CLI provides immediate feedback on code input, which helps developers quickly understand and iterate on their implementations.
  • Versatility
    Codex CLI supports a wide range of programming languages and paradigms, making it useful in diverse coding scenarios.

Possible disadvantages of OpenAI Codex CLI

  • Accuracy Limitations
    The generated code may not always be perfectly accurate or optimized, requiring manual review and adjustments by experienced developers.
  • Dependency on Internet
    Since Codex CLI relies on online resources to function, its usability can be affected by internet connectivity issues.
  • Learning Curve
    While designed for simplicity, there is still a learning curve associated with understanding the limitations and best use cases for Codex CLI.
  • Ethical Concerns
    Relying on AI for code generation could raise concerns about the originality of code, intellectual property rights, and potential biases in the training data.
  • Cost
    Depending on OpenAI's pricing model, using Codex CLI might involve costs that can accumulate, especially for large-scale or long-term projects.

LM Studio features and specs

  • User-Friendly Interface
    LM Studio provides an intuitive and easy-to-navigate interface, making it accessible for users of varying technical expertise levels.
  • Customizability
    The platform offers extensive customization options, allowing users to tailor models according to their specific requirements and use cases.
  • Integration Capabilities
    LM Studio supports integration with various tools and platforms, enhancing its compatibility and usability in diverse technological environments.
  • Scalability
    The product is designed to handle projects of various sizes, from small-scale developments to large enterprise applications, ensuring users have room to grow.

Possible disadvantages of LM Studio

  • Cost
    Depending on the scale and features required, the cost of using LM Studio might be prohibitive for smaller organizations or individual developers.
  • Learning Curve
    While the interface is user-friendly, new users might still encounter a learning curve, especially when customizing and integrating complex models.
  • Resource Intensity
    The platform may require significant computational resources, which could be challenging for users without high-performance hardware.
  • Limited Offline Support
    If the tool is heavily reliant on cloud-based resources, users may experience limitations in functionality while offline.

OpenAI Codex CLI videos

+ Add

OpenAI Codex CLI

More videos:

  • Review - My Honest Review of OpenAI Codex CLI - Is It Worth It?

LM Studio videos

+ Add

LM Studio Tutorial: Run Large Language Models (LLM) on Your Laptop

More videos:

  • Review - Run a GOOD ChatGPT Alternative Locally! - LM Studio Overview
  • Tutorial - Run ANY Open-Source Model LOCALLY (LM Studio Tutorial)

Category Popularity

0-100% (relative to OpenAI Codex CLI and LM Studio)

OpenAI Codex CLI

LM Studio

Developer Tools
61 61%
Developer Tools
39% 39
AI
19 19%
AI
81% 81
Productivity
16 16%
Productivity
84% 84
Text Editors
100 100%
Text Editors
0% 0

User comments

Share your experience with using OpenAI Codex CLI and LM Studio. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, LM Studio should be more popular than OpenAI Codex CLI. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenAI Codex CLI mentions (15)

  • Building a Rust API with Claude Sonnet 4.5
    Sonnet has proven itself to be very powerful and capable of handling complex tasks, but lately the community were claiming that Claude is slowly getting worse and it's not as good as it first was. This is especially after OpenAI released their leading coding model Codex model for their open source Codex CLI. - Source: dev.to / 3 days ago
  • No “resume” in Codex CLI, so I built one: quickly “continue” with `codex-history-list`
    Codex CLI is an AI coding agent that runs in your terminal, but there’s still no official “resume” feature. - Source: dev.to / about 1 month ago
  • Codex CLI: Running GPT-OSS and Local Coding Models with Ollama, LM Studio, and MLX
    This file allows you to configure providers and create profiles for different models. Some options aren’t fully documented yet, but you can explore the Codex source code for details. You can also configure MCP servers here. - Source: dev.to / about 1 month ago
  • GPT-5 for Developers
    You are looking for Codex CLI [0]. 0 - https://github.com/openai/codex. - Source: Hacker News / about 2 months ago
  • OpenAI Open Models
    Inference in Python uses harmony [1] (for request and response format) which is written in Rust with Python bindings. Another OpenAI's Rust libraries is tiktoken [2], used for all tokenization and detokenization. OpenAI Codex [3] is also written in Rust. It looks like OpenAI is increasingly adopting Rust (at least for inference). [1] https://github.com/openai/harmony [2] https://github.com/openai/tiktoken [3]... - Source: Hacker News / about 2 months ago
View more

LM Studio mentions (29)

  • Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action
    LM Studio[0] is the best "i'm new here and what is this!?" tool for dipping your toes in the water. If the model supports "vision" or "sound", that tool makes it relatively painless to take your input file + text and feed it to the model. [0]: https://lmstudio.ai/. - Source: Hacker News / 10 days ago
  • The Nikki Case: Emergent AI Consciousness and Corporate Response
    LM Studio - Local AI development environment. - Source: dev.to / 28 days ago
  • Llama-Server is All You Need (Plus a Management Layer)
    If you're running LLMs locally, you've probably used Ollama or LM Studio. They're both excellent tools, but I hit some limitations. LM Studio is primarily a desktop app that can't run truly headless, while Ollama requires SSH-ing into your server every time you want to switch models or adjust parameters. - Source: dev.to / 29 days ago
  • Running Docker MCP Toolkit with LM Studio
    LM Studio 0.3.17 introduced Model Context Protocol (MCP) support, revolutionizing how we can extend local AI models with external capabilities. This guide walks through setting up the Docker MCP Toolkit with LM Studio, enabling your local models to access 176+ tools including web search, GitHub operations, database management, and web scraping. - Source: dev.to / about 1 month ago
  • Codex CLI: Running GPT-OSS and Local Coding Models with Ollama, LM Studio, and MLX
    The real breakthrough is that Codex also supports open-source, self-hosted models. With the --oss flag or a configured profile, you can run inference locally through providers like Ollama, LM Studio, or MLX. - Source: dev.to / about 1 month ago
View more

What are some alternatives?

When comparing OpenAI Codex CLI and LM Studio, you can also consider the following products

Zed - Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

GPT4All - A powerful assistant chatbot that you can run on your laptop

Awesome ChatGPT Prompts - Game Genie for ChatGPT

AnythingLLM - AnythingLLM is the ultimate enterprise-ready business intelligence tool made for your organization. With unlimited control for your LLM, multi-user support, internal and external facing tooling, and 100% privacy-focused.

DeepWiki by Congnition - Understand Any GitHub Repo with AI Wikis

Hyperlink by Nexa AI - Hyperlink is a local AI agent that searches and understands your files privately—PDFs, notes, transcripts, and more. No internet required. Data stays secure, offline, and under your control. A Glean alternative built for personal or regulated use.

Loading...