AI · alternatives · 2026
24 alternatives to GPT-4 with Vision Checkup
When new Large Multimodal Models (LMMs) are released, there is excitement as we explore new capabilities. What can a model do? What can't a model do? What strange behaviors does the model exhibit? With that said, such analyses are frozen in time. At a hackathon toward the end of last year, the Roboflow team made a tool that runs the same set of tests with the GPT-4 with Vision API every day. This allows people to see how the model performs over time as updates are made. The last seven days of results are displayed on a web page; the rest of the data is archived in GitHub. We started the site…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. GPT-4 with Vision Checkup launched in 2024; newer entries below may have overtaken it.
- 1
GPT-4▲1,160More accurate, less cringe, smoother & useful daily chats!
2023 · openai.com · its alternatives →
- 2
A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
Jul 2026 · github.com · its alternatives →
- 3IR
2023 · sagittarius.greg.technology · its alternatives →
- 4
v1.0.0: https://github.com/dcrebbin/meta-vision-api/releases/tag/1.0... The previous implementation was very very hacky and used a bookmarklet alongside uglified messenger classes from 2 years ago to monitor a chat, it was also only for image messages. The new release is a browser extension for chrome & firefox that you run on an alt facebook account on messenger that can monitor for new chat & image messages + video monitoring if in a call. You can create a group chat and use a special method (instructions in the readme) to force the Glasses to be aware of…
2023 · github.com · its alternatives →
- 5
I used to enjoy Translation Party, and over the weekend I realized that we can build the same feedback loop with DALLE-3 and GPT4-Vision. Start with a text prompt, let DALLE-3 generate an image, then GPT-4 Vision turns that image back into a text prompt, DALLE-3 creates another image, and so on. You need to bring your own OpenAI API key (costs about $0.10/run) Some prompts are very stable, others go wild. If you bias GPT4's prompting by telling it to "make it weird" you can get crazy results. Here's a few of my favorites: - Gnomes: https://dalle.party/?party=k4eeMQ6I -…
2023 · dalle.party · its alternatives →
- 6
Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
- 7
Llama 4▲422A new era of natively multimodal AI innovation
2025 · developer.meta.com · its alternatives →
- 8
Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API
2025 · openai.com · its alternatives →
- 9
- 10
Run leading vision models locally with the new engine
2025 · ollama.com · its alternatives →
- 11
- 12
Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
- 13
Hey HN! I’m Zach one of the co-founders of Adam (https://www.adamcad.com). We're building AI-powered tools for CAD and 3D modeling [1]. We’ve recently been exploring a new way to bring GPT-style image editing directly into 3D model generation and are excited to showcase this in our web-app today. We’re calling it creative mode and are intrigued by the fun use cases this could create by making 3D generation more conversational! For example you can put a prompt in such as “an elephant” then follow it up by “have it ride a skateboard” and it preserves the context, identity and…
2025 · adamcad.com · its alternatives →
- 14
- 15
Hey HN! We’ve been experimenting with integrating multimodal models directly into creative workflows, and ended up building an AI-first image editor using OpenAI’s new `gpt-image-1` (from GPT-4o) inside our SDK. Instead of prompting in ChatGPT and pasting outputs into a design tool, this lets you generate, edit, and remix images all in one canvas. This allows for really interesting new workflows, like quickly mixing multiple images, or creating visual prompts by using annotations and reference on the canvas. Some key details: - Built with our plugin system in CE.SDK (CreativeEditor SDK) -…
2025 · img.ly · its alternatives →
- 16
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app · its alternatives →
- 17
- 18
Hey HN OpenCopilot is an OSS framework which helps devs to build open-source AI Copilots that actually work and embed into their product with ease. Why another LLM framework? Twitter is full of impressive LLM applications but once you peel off the curtains it’s clear that they are just demos. The reason being because building an AI Copilot that goes beyond a Twitter demo can be complex, time-consuming and unreliable. Our team has been in the AI space since 2018 and built numerous LLM apps & copilots. While doing that, we got approached by many startups saying they’d also like to build a…
2023 · github.com · its alternatives →
- 19
Training cutoff and release date for 20 AI models, from GPT-6 Astra to Claude Fable 5.1. Two live clocks: how old the model is, how old its knowledge is.
Sep 2026 · stale.jock.pl · its alternatives →
- 20IT
I built an MCP server that gives any local LLM real Google search and now vision capabilities - no API keys needed. The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo. Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total. Two commands: pip install…
Feb 2026 · its alternatives →
- 21UA
Hello hackernews, I am looking for feedback for Labophase.com which is a app that focuses on returning results from multiple ai models at the same time. I currently support: GPT4-Turbo, Claude-2, Google PaLM2, Llama2, Mistral, and OpenOrca. Working on supporting Gemini soonTM. I built it to solve a couple of personal pains I experienced. After reaching out to a couple of users in r/localllama, seems that people would have similar approach to address hallucination, availability, and comparing ai models. Initial feedback came in with some surprises that I'm hoping to get feedback from the…
2023 · labophase.com · its alternatives →
- 22
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
2023 · github.com · its alternatives →
- 23
Hey HN, We’ve been building out an API for ‘Visual ETL’ that we call vlm.run. We’ve been working with foundation models (GPT4o, Gemini) for a few months and kept running into failure modes like: - Hallucinations: even the best foundation models continue to hallucinate outputs for complex visual inputs, even when adhering to a schema. - Rate limits: frontier models like GPT4o are still too expensive or rate limited for high volume visual data. Our API is designed for production workloads which means speed, stability, monitoring and, if needed, private deployments. - Off the shelf schemas:…
Jun 2026 · vlm.run · its alternatives →
- 24
Most inference UIs that I've come across pretty much just give us a chat-like interface to toy around with models in a single visual conversation thread. Given the fact that we are limited to seeing only one output at a time, it's kind of hard to compare outputs from different models, adjustments made to the prompting, and sampler settings. But even when keeping the generation parameters the same (e.g., to test for reliability in the output) and just going for multiple passes, there is no easy way to have a side-by-side comparison to keep track of the outputs from the multiple "rounds". I…
2024 · github.com · 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 →