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Portmap.io VS llama.cpp

Compare Portmap.io VS llama.cpp and see what are their differences

JackHamr
AI agents that spec, build, test, and ship code โ€” with voice chat, deep GitHub integration, and zero LLM markup. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Portmap.io logo Portmap.io

Expose your local PC to Internet from behind firewall and without real IP address

llama.cpp logo llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
  • Portmap.io Landing page
    Landing page //
    2023-06-24
Not present

Portmap.io features and specs

  • Ease of Use
    Portmap.io offers a simple interface that makes it easy for users to set up port forwarding without needing advanced networking knowledge.
  • Flexibility
    The service supports multiple tunneling protocols including OpenVPN and SSH, providing versatility depending on user needs.
  • Cost-effective
    Portmap.io offers both free and paid plans, allowing users to choose a service level that fits their budget while still providing essential features.
  • Compatibility
    The service is compatible with various operating systems, making it accessible to a wide range of users.
  • No Need for Static IP
    Users can access their internal services over the internet without requiring a static IP address.

Possible disadvantages of Portmap.io

  • Limited Bandwidth
    The free plan has bandwidth limitations that may not be suitable for high-traffic applications.
  • Security Concerns
    Using port forwarding services can introduce security risks if not properly configured or if the service has vulnerabilities.
  • Reliability
    As with many online services, there can be downtime or maintenance periods which may affect service availability.
  • Dependency on Third-party Service
    Relying on an external service for port forwarding can be a disadvantage if the service experiences issues or discontinues.
  • Configuration Limits
    Advanced users might find the configuration options somewhat limited compared to setting up port forwarding manually on their own networks.

llama.cpp features and specs

  • Performance
    llama.cpp is designed to run efficiently on a wide range of hardware, from high-end GPUs to more modest CPUs, making it highly adaptable and performant in various environments.
  • Portability
    The codebase is lightweight and can be compiled across different operating systems including Linux, macOS, and Windows, ensuring wide accessibility and ease of deployment.
  • Ease of Use
    The repository provides comprehensive documentation and examples, making it easier for developers to integrate and utilize the library in their projects.
  • Community Support
    Being an open-source project, llama.cpp benefits from community contributions, which help in its continuous improvement and maintenance.
  • Flexibility
    It allows developers to customize and extend the functionality to better fit specific use cases or integrate with other tools and systems.

Possible disadvantages of llama.cpp

  • Limited Features
    Compared to some other machine learning libraries or frameworks, llama.cpp may have fewer out-of-the-box features, requiring more custom development for certain applications.
  • Complexity for Beginners
    Despite good documentation, users without a solid background in machine learning or programming may find it difficult to fully utilize the libraryโ€™s capabilities.
  • Scalability
    While llama.cpp is designed to be performant, scaling it for very large datasets or extensive tasks might require significant optimization or additional resources.
  • Dependency Management
    As with many open-source projects, managing dependencies and ensuring compatibility with evolving third-party libraries can be challenging.

Analysis of Portmap.io

Overall verdict

  • Portmap.io is generally considered a good tool for its ease of use, reliability, and features such as SSL support and a user-friendly interface. However, users should be aware of potential security risks when exposing local services to the public internet.

Why this product is good

  • Portmap.io is a popular choice for users looking to expose local servers to the internet without dealing with complex network configurations like port forwarding. It provides a straightforward solution for developers wanting to test, share, or access services remotely.

Recommended for

    Developers, system administrators, and hobbyists who need to access local services remotely or those testing webhooks and other remote internet applications.

Analysis of llama.cpp

Overall verdict

  • llama.cpp is an excellent, high-performance open-source project that has become the de facto standard for running large language models locally on consumer hardware with minimal dependencies.

Why this product is good

  • Written in efficient C/C++ with no heavy dependencies, enabling fast inference even on CPUs
  • Supports GGUF quantization allowing large models to run on limited RAM and modest hardware
  • Cross-platform support including Windows, macOS, Linux, and even mobile and embedded devices
  • Hardware acceleration via CUDA, Metal, Vulkan, ROCm, and more
  • Extremely active community and rapid development with frequent updates and broad model support
  • Free and open-source under the MIT license, with a large ecosystem of tools and bindings built around it

Recommended for

  • Developers wanting to run LLMs locally without cloud dependencies
  • Privacy-conscious users who need offline inference
  • Hobbyists and researchers experimenting with quantized models on consumer hardware
  • Applications requiring lightweight, embeddable LLM inference
  • Users with limited GPU resources who need efficient CPU-based inference

Portmap.io videos

+ Add

Port Forward without Router using portmap.io

More videos:

  • Review - portmap.io portforwarding with Android FUD RAT live practical hindi
  • Review - NJRAT LimeRAT Portmap.io - free port forwarding solution NJRAT LimeRAT

llama.cpp videos

+ Add

Local AI just leveled up... Llama.cpp vs Ollama

More videos:

  • Review - AMD Mi50 32GB Speed Test: Ollama vs Llama.cpp (GPT-OSS & Qwen3 Benchmarks)
  • Review - Ollama vs VLLM vs Llama.cpp: Best Local AI Runner in 2026?

Category Popularity

0-100% (relative to Portmap.io and llama.cpp)

Portmap.io

llama.cpp

Localhost Tools
100 100%
Localhost Tools
0% 0
AI
0 0%
AI
100% 100
Webhooks
100 100%
Webhooks
0% 0
LLM
0 0%
LLM
100% 100

User comments

Share your experience with using Portmap.io and llama.cpp. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Portmap.io and llama.cpp

Portmap.io Reviews

  1. Ihor
    WORST SERVICE i ever see

    Did not worked at all. No VPN connections, NO ssh connections... Did not work at all. No option to connect. Not working in my country and "No refund" :(

    I got fooled with such fake service. NOT RECOMMENDING. use ngrok instead. Better for 800% that this

    ๐Ÿ Competitors: Simple Port Forwarding
    ๐Ÿ‘Ž Cons:    Design|Price|Pricing|Ssh|Not working|Fake

llama.cpp Reviews

We have no reviews of llama.cpp yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Portmap.io should be more popular than llama.cpp. It has been mentiond 34 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.

Portmap.io mentions (34)

  • How do hackers hide their ip in reverse shells?
    I once used portmap.io for reverse shell in ethical hacking classes. Source: about 3 years ago
  • OpenVPNnot working and i dont know what to do
    So I use portmap.io for OpenVPN like I saw in tutorials but I found out it is not working because my ip didn't change when I looked up what my ip was. Source: about 3 years ago
  • SSH into a personal computer in Jio Network using public IP
    I have a personal computer in the Jio Network at my home and I want to access it using ssh from another network. But in order to port forward my router I am stuck since Jio uses CGNAT if I am not mistaken and there is no use if I portforward. What other solutions do I have? I tried using portmap.io but I couldnt configure ssh in it (I dont want to use openVPN) so what other options do I have? Source: over 3 years ago
  • port forwarding/tunneling
    I'm basically looking for a free version of https://portmap.io/ -- they will do this, but custom domains are $4/month. Source: almost 4 years ago
  • port triggering to replace port forwarding
    I would recommend trying again with port forwarding, or some other solution like this: https://portmap.io/ which is a kind of reverse tunnel made for situations like yours. That site has a free tier which allows a single forward. Source: almost 4 years ago
View more

llama.cpp mentions (13)

  • Ask HN: How close are we to local LLM models being useful? What's the impact?
    A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / about 1 month ago
  • llama-bench skipped FA on capable GPUs โ€” b9437 corrects it
    Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / about 1 month ago
  • Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher
    That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 2 months ago
  • How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
    LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 2 months ago
  • Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)
    Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing Portmap.io and llama.cpp, you can also consider the following products

ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.

LM Studio - Discover, download, and run local LLMs

sish - An open source serveo/ngrok alternative. HTTP(S)/WS(S)/TCP Tunnels to localhost using only SSH.

Ollama - The easiest way to run large language models locally

localhost.run - Instantly share your localhost environment!

Ava PLS - Desktop app for running LLMs locally

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