AI · alternatives · 2026
24 alternatives to Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy
Hello HN! I’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out the MediSearch API in 10 seconds in this Colab [https://tinyurl.com/medisearch-colab], or test the search engine live at MediSearch [https://medisearch.io]. See our API page [https://medisearch.io/api] to apply for access. Some technical highlights: 1. State-of-the-art accuracy of 92% on the USMLE self-assessment exam [https://tinyurl.com/medisearch-eval]. 2. Ranked 2nd on MedQA benchmark,…
MediSearch is a medical question-answering API that achieves 92% accuracy on USMLE self-assessment exams and ranks second on the MedQA benchmark. It is designed for developers building medical applications, such as… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy launched in 2023; newer entries below may have overtaken it.
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MediSearch▲65Get an instant answer to your medical questions
2023 · medisearch.io · its alternatives →
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LLM Stats▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
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Direct science-based answers to medical questions
2024 · chatgpt.com · its alternatives →
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Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
2023 · github.com · its alternatives →
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Verify medical claims in TikToks & YouTube Shorts
2024 · medisearch.io · its alternatives →
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Hi HN, I’d like to share MediSearch with you. A few months ago, I had a knee injury and got several surgery options from doctors. I had to make an important decision, but the medical information search experience was terrible. The sites I found either did not answer my questions (long health blogs) or were too technical to easily understand (scientific papers). This gave me and my friend the idea for MediSearch. Our goal is to build a system that provides direct accurate answers to medical questions based on trustworthy sources. We’d like to make MediSearch helpful to everyone and we still…
2023 · medisearch.io · its alternatives →
- 7AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com · its alternatives →
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A little idea I got from playing with AI SWE Agents. Can AI help make sure we understand the code that our AIs write? PR Quiz uses AI to generate a quiz from a pull request and blocks you from merging until the quiz is passed. You can configure various options like the LLM model to use, max number of attempts to pass the quiz or min diff size to generate a quiz for. I found that the reasoning models, while more expensive, generated better questions from my limited testing. Privacy: This GitHub Action runs a local webserver and uses ngrok to serve the quiz through a temporary url. Your code…
2025 · github.com · its alternatives →
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We are super excited to release our latest open-source demo, Healthsearch. This demo decodes user reviews of supplements and performs semantic- and generative search on them, retrieving the most related products for specific health effects, and leveraging Large Language Models to generate product and review summaries. The demo can understand natural language queries and derive all search filters directly from the context of your query.
2023 · github.com · its alternatives →
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Test and compare results from Large Language Models (LLMs) simultaneously, including Anthropic's Claude 1.2, OpenAI's GPT-4, GPT-3.5 turbo, and Cohere's CommandXL Nightly. Analyze the results side-by-side in a single UI on top of LLM APIs.
2023 · retool.com · its alternatives →
- 12IB
Hi HN, I’ve built AskMedically – an AI-powered assistant that answers health and medical questions using real research papers from trusted medical sources like PubMed, Cochrane, etc. Whether you’re a healthcare enthusiast, patient, student, or professional – AskMedically helps you explore trusted medical knowledge without needing a medical degree or slogging through dozens of PDFs. Examples: • “Does intermittent fasting improve insulin sensitivity?” • “What are the benefits of creatine for brain health?” • “Is ashwagandha safe to take long-term?” • “How does ADHD present in adult women?” •…
2025 · its alternatives →
- 13AP
This demo collects patient information in an open-ended and conversational format and then writes a preliminary medical note based on patient responses. Many GPT-3 applications focus on GPT answering user queries; here, we flip it around, with the system asking the user instead. I think open-ended conversational question-asking (that maintains long-term coherence, for which we use SNOMED-CT ontology and some rules) is especially important in medicine. Most existing systems rely on multiple-choice questions with a heavy amount of medical reasoning, but that’s very hard to get right. You can’t…
2023 · auxhealth.io · its alternatives →
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A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL - eosphoros-ai/DB-GPT-Hub
2023 · github.com · its alternatives →
- 15IB
I’ve been playing around with local LLMs for the past couple of months and decided to build something that can run on an iPhone. It’s a universal app built with SwiftUI and the excellent ggml library. The model is an SFT fine tuned and 4 bit quantised version of the RedPajama-INCITE-Chat-3B-v1 OSS LLM. It works reasonably well on recent-ish (~3 year old) iPhones, iPads and Macs. It was launched on the App Store yesterday[1] and Product Hunt today[2]. It seems to be reasonably ok at natural language interactions, but given its size, does pretty badly at coding and reasoning. Also, it…
2023 · its alternatives →
- 16CF
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MedicalGPT▲22MedicalGPT | Accurate & Reliable Medical Information
2025 · medicalgpt.info · its alternatives →
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Hi HN, I’m a solo dev building a clinical search engine to help my wife (a resident physician) and her colleagues. The Problem: Current tools (UpToDate/OpenEvidence) are expensive, slow, or increasingly heavy with pharma ads. The Solution: I built Evidex to be a clean, privacy-first alternative. Search Demo (GIF): https://imgur.com/a/zoUvINt Technical Architecture (Search-Based RAG): Instead of using a traditional pre-indexed vector database (like Pinecone) which can serve stale data, I implemented a Real-time RAG pattern: Orchestrator: A Node.js backend performs…
Dec 2025 · getevidex.com · its alternatives →
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Hey there HN! We've just open-sourced Vanna – a Python package that allows you to transform questions into SQL. We've leveraged LLMs to enable you to "ask" databases what you need, bypassing the need to "write" complex SQL. Quick Overview: - "Train" using DDL statements, documentation, or known correct SQL statements. - "Ask" questions in natural language and receive SQL, tables, and charts in return. - Open Source Flexibility: Swap storage mechanisms, customize LLMs, and choose your databases. - Local or Hosted: Operate everything locally or use our hosted version for free (including…
2023 · vanna.ai · its alternatives →
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MedStudy▲1Turn any PDF into exam-ready medical MCQs in seconds
May 2026 · medstudy.space · its alternatives →
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Bassili Chat▲14An AI comparison tool for comparing top LLMs at one spot.
2025 · bassilichat.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 →