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Alternatives

Products that do what VividLLM does

35+ AI Models | 8M Monthly Tokens | Reasoning | at $15/mo

  1. 1

    35+ AI Models | 8M Monthly Tokens | at $15/mo

    May 2026 · vividllm.chat

  2. 2IB

    Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.

    Apr 2026 · github.com

  3. 3

    A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

    Jul 2026 · github.com

  4. 4IR
  5. 5IB

    I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…

    2024 · github.com

  6. 6WM

    Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

    2024 · glhf.chat

  7. 7
    nanochat349

    Build your won ChatGPT for $100 on a single GPU

    Oct 2025

  8. 8

    Fast and efficient models optimized for coding and subagents

    Mar 2026 · openai.com

  9. 9
    Memoriq130

    Your private AI memory for ChatGPT, Claude, Gemini and Grok

    Jun 2026 · memoriq.me

  10. 10

    The fast, easy and cheap OpenAI alternative

    2023

  11. 11

    One balance. Every model. Chat, image, video & audio.

    Jun 2026 · lounge.llmgateway.io

  12. 12IB

    I'm lost between ChatGPT vs Claude vs Gemini... which subscriptions to take? With Cursor and all these specific AI tools, I just wanted one simple chat app where I can use any model and pay only when I use it. Couldn't find one, so I built one. Pay only for what you use. Your prompts and docs, knowledge bases work with every model - no more copy-pasting between apps. Started as a personal project, but thought someone else might benefit from this too. https://prismharmony.com/chat What do you think?

    2025 · prismharmony.com

  13. 13IM

    This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…

    2024 · ithy.com

  14. 14
    AnyLLM20

    10+ LLMs at 10x speed. Think we're kidding. Test it now!

    2025

  15. 15

    Open-Source LLM matching GPT-5

    Dec 2025 · chat.deepseek.com

  16. 16GV

    Hey HN, I just updated my project that compares some LLMs. It uses your prompt for all the models and runs at the same time. You can see the results being generated in real-time and decide what's the best for your use case. I'm open to any suggestions and feedback. Thanks!

    2024 · geminivsgpt.com

  17. 17

    Free master prompts for ChatGPT, Claude, Gemini & more

    Mar 2026 · understandingai.net

  18. 18

    Chat with 300+ AI models in one place with 20+ free

    Jul 2026 · chats-llm.com

  19. 19
    Zeplik5

    Every AI model, one chat. GPT, Claude, Gemini, Grok

    Jul 2026 · zeplik.ai

  20. 20UA

    Hello hackernews, I am looking for feedback for Labophase.com which is a app that focuses on returning results from multiple ai models at the same time. I currently support: GPT4-Turbo, Claude-2, Google PaLM2, Llama2, Mistral, and OpenOrca. Working on supporting Gemini soonTM. I built it to solve a couple of personal pains I experienced. After reaching out to a couple of users in r/localllama, seems that people would have similar approach to address hallucination, availability, and comparing ai models. Initial feedback came in with some surprises that I'm hoping to get feedback from the…

    2023 · labophase.com

  21. 21

    Access ChatGPT, Claude, Gemini, Grok, and more in one place

    2025

  22. 22

    150+ ready-to-use AI prompts for ChatGPT, Claude & Grok

    Jul 2026 · payhip.com

  23. 23TT

    For the last few weeks, I have been working on training an LLM from scratch and deploying it in production on Google Cloud Platform. Finally, I trained a 30 million parameter model on 1 billion tokens and deployed it as a web service. You can access the LLM using this site - https://kunalmishra.info The following steps were taken to build Tiny Tales GPT 1. Downloaded and preprocessed 8GB of dataset using multiprocessing library. 2. Tokenized the data using byte pair encoding to create 1 billion tokens sharded in different bin files. 3. Defined a training setup and trained the model…

    2024 · kunalmishra.info

  24. 24

    Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…

    Jul 2026 · yolo-auto.com

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