ModelFusion
Simultaneously Chat with Leading LLM Models
ModelFusion launched on August 23, 2024 with 7 votes, #2,085 of 5,471 launches that month. The site was still online in September 2026, 2 years on.
What it does
Simultaneously Chat with Leading LLM Models using MultiChat. Get several responses from GPT 4o, Claude 3.5, and more with a single prompt. Directly, compare LLM models. Additionally, chat with both images and documents by creating Projects.
Simultaneously chat with leading 23+ LLM models using MultiChat using ModelFusion.
Does a similar job
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Chat with multiple LLMs: o1-high-effort, Sonnet 3.5, GPT-4o, and more2025 · polychat.co · ▲62Hello 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…


LLM Gateway ChatJun 2026 · lounge.llmgateway.io · ▲77One balance. Every model. Chat, image, video & audio.
- IBI built an LLM chat app because we shouldn't need 10 AI subscriptions2025 · prismharmony.com · ▲58
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?
AI Memory Layer for ChatGPT and Claude.2025 · teamlayer.xyz · ▲26Shared persistent memory across all your LLMs.
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