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Alternatives

Products that do what Solheim AI - your Virtual Private LLM does

Private and Secure LLM for a fixed monthly fee

  1. 1

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  2. 2
    Gradient153

    Developer API for building private LLMs that you own

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    Sudo AI265

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    LLMWare358

    Dev tool to make AI apps to deploy privately or locally

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  6. 6

    Access 1 billion tokens per month for free

    Apr 2026 · github.com

  7. 7TL
  8. 8SS

    Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k/month. Most developers only need 15-25 tok/s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5/mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.

    Apr 2026 · sllm.cloud

  9. 9

    Ollama but for mobile, with a cloud fallback

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  10. 10
    Taylor AI118

    Fine-tune open source LLMs in minutes

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  11. 11

    Calculate and compare the cost of the latest LLM APIs

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    AUM99

    Your unlimited offline AI Co-Pilot

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  13. 13

    LLM Provider arbitrage to get the best performance for the $

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  14. 14AP

    Hey HN! We've run our privacy-focused open-source inference company for a while now, and we're launching a flat monthly subscription similar to Anthropic's. It should work with Cline, Roo, KiloCode, Aider, etc — any OpenAI-compatible API client should do. The rate limits at every tier are higher than the Claude rate limits, so even if you prefer using Claude it can be a helpful backup for when you're rate limited, for a pretty low price. Let me know if you have any feedback!

    2025 · synthetic.new

  15. 15

    The turn key OpenClaw solution with unlimited LLM tokens

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  16. 16PE

    Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…

    2024 · jigsawstack.com

  17. 17

    Revolutionize LLMs chat platform with pay-as-you-go pricing

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  18. 18RM
  19. 19

    Skip the setup and run OpenClaw & Hermes, fully managed

    17d ago · cloudways.com

  20. 20LS

    Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…

    2024 · github.com

  21. 21
    Lekh AI80

    Private, offline AI for iPhone, and iPad

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  22. 22FT

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  23. 23

    An AI Cost Optimization Infrastructure for LLM Applications

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  24. 24LT

    Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.

    2024 · github.com

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