Modelglass
Track pricing & capabilities across every AI model, live
What it does
Most AI pricing trackers cover LLMs only, lag behind releases, or take vendor claims at face value. Modelglass spans 7 verticals (LLM, image, video, audio, coding, science, agentic) and enforces verified primary-source provenance on every entry, no unverifiable numbers. We ship a live MCP server and VS Code extension for cost-aware routing, plus BYOK client-side routing so your keys never touch our servers. Built solo, updated daily, not a static spreadsheet dressed up as a product.
Compare AI models on cost, billing model, architecture, and capability — from one honest, sourced registry. Image, language, and video models.
Modelglass is now on iOS and VS Code. Free pricing lookups and cost-aware model routing, wherever you work. Compare models on what actually matters — cost, billing model, architecture, and capability — from one honest, sourced registry. Built for developers and AI-native teams choosing between models. "My data story goes back further than this project — superannuation reporting, then eleven years at a Melbourne tech company, always with the same focus: serving data that had utility, not just data that existed. Modelglass is that same discipline applied to AI model pricing." It's hard to know. AI model information is fragmented. Pricing changes. Providers use different billing models.…from modelglass.com.au
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com