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AI · alternatives · 2026

24 alternatives to Merlin_multi-LLM

'One Prompt, Every AI'

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    One unified API for all AI models like Gemini, GPT-4, DALL-E

    2023 · getmerlin.in · its alternatives →

  2. 2

    Howdy! We built this as an experiment in personal-programming, combining the best of LLMs and code to help automate tasks around you. I personally use it to track the tides and get notified when certain conditions are met, something that pure LLMs had trouble dealing with and pure code was often too brittle for. We created it after getting frustrated with the inability of LLMs to deal with numbers and the various hoops we had to jump through to make ChatGPT output repeatable. At the core, Magic Loops are just a series of "blocks" (JSON) that can be triggered with different inputs (email,…

    2023 · magicloops.dev · its alternatives →

  3. 3
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  4. 4

    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 · its alternatives →

  5. 5

    Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…

    Apr 2026 · openrouter.ai · its alternatives →

  6. 6
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  7. 7RY

    Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…

    2024 · unify.ai · its alternatives →

  8. 8

    I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023. I think LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to try various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations and you need a process…

    2024 · github.com · its alternatives →

  9. 9

    Integrate LLMs into your product in minutes with AI's help

    2023 · outset.ai · its alternatives →

  10. 10TL
  11. 11

    Powerful browser-based AI models for a wide array of tasks

    2023 · tinyllms.vercel.app · its alternatives →

  12. 12

    Smartest way to use AI!

    Feb 2026 · its alternatives →

  13. 13

    📸 gotta find 'em all; spatial reasoning benchmark for LLMs - kxzk/snapbench

    Jan 2026 · github.com · its alternatives →

  14. 14

    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 · its alternatives →

  15. 15
    Pioneer▲113

    Fine-tune any LLM in minutes, with one prompt

    Apr 2026 · pioneer.ai · its alternatives →

  16. 16

    Test LLM prompts & models side-by-side against many inputs

    2024 · its alternatives →

  17. 17
    Heym▲83

    Self-hosted AI workflow automation with agents, RAG, and MCP

    Apr 2026 · heym.run · its alternatives →

  18. 18

    Hey HN – Gregor & Magnus here again. A few months ago, we launched Browser Use (https://news.ycombinator.com/item?id=43173378), which let LLMs perform tasks in the browser using natural language prompts. It was great for one-off tasks like booking flights or finding products—but we soon realized enterprises have somewhat different needs: They typically have one workflow with dynamic variables (e.g., filling out a form and downloading a PDF) that they want to reliably run a million times without breaking. Pure LLM agents were slow, expensive, and unpredictable for these…

    2025 · github.com · its alternatives →

  19. 19

    Knowledge base as a service for LLM applications

    2023 · its alternatives →

  20. 20IG

    Data automation and visualization platform for spreadsheet users.

    2024 · columns.ai · its alternatives →

  21. 21

    The context manager and skills library for marketing teams

    Apr 2026 · promptr.ai · its alternatives →

  22. 22

    Chain AI tasks easily. Build powerful workflows in stages

    Mar 2026 · llmflow.space · its alternatives →

  23. 23

    Large language models, supercharged in parallel.

    2025 · parallellm.com · its alternatives →

  24. 24

    The AI Toolkit for TypeScript, from the creators of Next.js.

    2023 · sdk.vercel.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →