Chat with multiple LLMs: o1-high-effort, Sonnet 3.5, GPT-4o, and more
Hello HN! I was fed up switching between multiple UIs to ask GPT, Claude, etc… the same question and comparing the answers. So I built a way to ask multiple models the same question efficiently by having the LLM compare the responses and only show you new and valuable information from the 2nd model. This way you still get a fast response as normal from the 1st model, but also get any added value provided by the 2nd model. Initially I built my own UI to use this, but stumbled upon Open WebUI (formerly Ollama WebUI) which is fantastic, but is made more for local access to LLMs. So I talked to…
In plain words
PolyChat lets users query multiple large language models simultaneously—such as o1, Sonnet 3.5, and GPT-4o—from a single interface. Rather than switching between different UIs and manually comparing responses, the tool sends the same question to multiple models and uses an LLM to highlight only the new or valuable information from subsequent responses. Built on Open WebUI with security improvements including XSRF and CORS fixes, it's designed for users who regularly compare outputs across different AI services.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello HN! I was fed up switching between multiple UIs to ask GPT, Claude, etc… the same question and comparing the answers. So I built a way to ask multiple models the same question efficiently by having the LLM compare the responses and only show you new and valuable information from the 2nd model. This way you still get a fast response as normal from the 1st model, but also get any added value provided by the 2nd model. Initially I built my own UI to use this, but stumbled upon Open WebUI (formerly Ollama WebUI) which is fantastic, but is made more for local access to LLMs. So I talked to its creator, Timothy Baek, and he mentioned that security needed to be shored up before production deployment. I did some scans with semgrep, and fixed some XSRF and CORS issues along with making sure the JWT tokens, passwords, etc… were secure. This was in addition to other folks' amazing security contributions. So now we build on Open WebUI! oss ftw After launching privately a month or so ago and posting a few reddit links, I have about 100 users. We also just got access to the o1 API and provide o1-high, medium, and low effort. o1 high effort is able to solve coding problems that only o1 pro can also solve, though pro can go further and has better formatting, o1 high effort is a nice option if you don't want to fork over $200/mo. https://www.reddit.com/r/OpenAI/comments/1i0r867/comment/m70... You can use o1 for free in PolyChat, which is the only place I've seen you can do so. You can also ask multiple models the same question and stream the answers simultaneously side by side. https://imgur.com/a/ly5ZPh8 And you can have multiple chats going simultaneously and they will continue in the background and notify you when they're done. Another cool feature that makes long chats way easier to navigate is the overview (three dots on top right of chat) https://imgur.com/a/PoB1phT We give you full control, unlike most providers, to change the system prompt, temperature, etc.. in the chat settings in the "Controls" on the top right. The formatting for code outputs and inputs is fantastic, using codemirror, and you can run code in the code blocks if it's python or JS using in-browser runtimes. You can also share chats within polychat where other logged in users can see them: e.g. https://polychat.co/s/ec163812-9323-4cb5-a429-7ddeaf3572c3 Or you can share it publicly to the OpenWeb UI community https://openwebui.com/c/crizcraig/e1b2fff9-30a3-4ee7-8eed-b2... Finally we allow you to search and organize your chats into folders which makes finding things super fast! Infra: My custom backend that combines models and does things Open WebUI doesn't handle like token tracking is written in FastAPI and uses LiteLLM for easily accessing different model APIs. I host everything on GCP using Cloud Run for the backend and use PostGres for Open WebUI's db, along with BigQuery and Firestore for my FastAPI app's db. Pricing: Our pricing makes it cheap to access top models. It's free at first, then we offer subscription tiers starting at $5/mo which allots about ~1 million tokens per month, enough for most people. But unlike Claude's UI for example, we don't shut you down with rate limits, but rather let heavy users upgrade beyond to $10, $20, $40, $80, etc... We also suggest a plan based on how quickly you used your free tokens, so you have an idea upfront of the monthly cost before you buy. And you can upgrade or downgrade at any time. Thanks Show HN <3
Does the same job
all alternatives →- IBI built a free in-browser Llama 3 chatbot powered by WebGPU2024 · github.com · ▲547
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…
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Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…
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We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
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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?
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