Stanford Mobile vs ConfidentLM
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Stanford Mobile
Access essential Stanford University information, including campus maps, dining options, events, and news. It also functions as a digital extension of your Stanford ID card.
- Campus dining information
- Upcoming events listings
- Featured news stories
- Campus and shuttle maps
- Digital Stanford ID card
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Stanford Mobile is the official mobile app of Stanford University, where Stanford students, staff, faculty, alumni, parents, and friends connect to essential information on The Farm. The app allows you to explore campus dining options, upcoming events, featured news stories, campus and shuttle maps, public arts and location-based self-guided tours, and more at your fingertips. Mobile ID acts as the digital version of your physical Stanford ID, mirroring all your physical card’s information. Stanford Unlock (formerly Mobile Key), powered by HID and Apple Wallet, allows you to access card readers for buildings and elevators across campus, pay with Cardinal Dollars, and access Cardinal Print, gyms, and libraries.
ConfidentLM
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Democratizing Education with "Self-Aware" Local AI Access to quality education should not depend on your internet connection. ConfidentLM is a research-backed educational tool designed to bring the power of Large Language Models (LLMs) to communities completely disconnected from the cloud. The Challenge: Silent Errors Local AI models are promising for offline learning, but they suffer from "hallucinations"—confidently stating incorrect facts. In an educational setting, these silent errors are dangerous for students who might unknowingly learn false information. 100% Offline: Powered by a Liquid Foundation Model (LFM2-1.2B) , this app runs locally on your device using 4-bit quantization. No data ever leaves your phone.The Solution: ConfidentLM Developed as a Stanford CS229 Machine Learning project, ConfidentLM introduces a safety layer for on-device models. Hallucination Detection: Unlike standard chatbots, ConfidentLM analyzes the model's internal "brain activity" (hidden states) to predict if an answer is likely a hallucination. Trustworthy Tutoring: By flagging unreliable answers, we create a "tutor in your pocket" that is safe enough for real-world learning. Join us in bridging the digital divide with AI that is accessible, efficient, and—most importantly—confident in its accuracy.
Screenshots
Verdict
The clearest difference is update cadence: ConfidentLM at every 3 weeks against Stanford Mobile's every 6 weeks. Stanford Mobile's advantage is iOS requirement (15.6 vs 17.6). On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
Stanford Mobile ships an update every 6 weeks, ConfidentLM every 3 weeks. The most recent releases landed on November 4, 2026 and October 30, 2026 respectively.
| Parameter | Stanford Mobile | ConfidentLM |
|---|---|---|
| Price | Free | Free |
| Rating | 3.4 (36 ratings) — better | — |
| Positive reviews | 60.0% of reviews | — |
| Number of ratings | 36 — better | — |
| Update frequency | Every 6 weeks | Every 3 weeks — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | — |
| Devices | iPhone, iPod | iPhone, iPad |
| Requires iOS | 15.6 — better | 17.6 |
| Further details — not scored | ||
| Size | 120 MB | 717 MB |
| Age rating | 4+ | 4+ |
| Developer | Stanford University | Emberlight Inc. |
In-app purchases
Stanford Mobile
No in-app purchases
ConfidentLM
No in-app purchases
