MIT Mobile vs TokenMax
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
MIT Mobile
Access essential MIT services on your iOS device. Stay updated with campus news, track shuttles, navigate with a searchable map, and manage your library account. Find events, dining information, and report maintenance issues.
- Campus News
- Live Shuttle Tracking
- Searchable Campus Map
- Event Calendar
- Directory Search
- Library Account Management
- Dining Menus
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MIT Mobile brings many essential Institute services to the iOS user: • Campus News from the MIT News Office • Live campus shuttle tracking • Searchable campus map • Calendar of events, exhibits, holidays, and the academic calendar • Searchable directory of faculty, staff, and students at MIT • Information about MIT Tours • Information about Campus Emergencies • MIT Libraries account management and catalog search • MIT Dining menus and hours • Report campus maintenance issues directly from your iOS device • A QR code and barcode scanner
TokenMax
Learn AI, computer science, and Python with comprehensive courses and a real Python environment. Features an AI tutor, sandboxed terminal, and SSH client, all running offline on your device. Processes documents and images locally for enhanced privacy.
- 14 university-level computer science courses
- Embedded Python 3.13 with auto-graded problem sets
- Sandboxed terminal with SSH client
- On-device AI tutor and language model
- Local PDF, DOCX, and TXT processing
- Offline functionality
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TokenMax is an AI learning lab for your iPhone, built by Vellora AI: a full computer-science curriculum, a real Python environment with auto-graded problem sets, a sandboxed terminal, and a tutor powered by a language model that runs on the phone itself. No accounts, no servers, no telemetry. LEARN AI, CS & PYTHON — 14 FULL COURSES, OFFLINE - Sidebar → Courses bundles 14 university-level open-courseware classes, readable offline, including: • 6.S191 Intro to Deep Learning — transformers, attention, RLHF, generative AI • 6.5940 TinyML & Efficient Deep Learning — quantization, pruning, the methods behind on-device models • 6.0001 + 6.0002 Intro to CS and Data Science in Python • 6.034 Artificial Intelligence, 6.864 Advanced NLP • 18.06 Linear Algebra, 18.065 Matrix Methods, 18.05 Probability & Statistics • 6.006 + 6.046 Algorithms, 6.S081 Operating Systems, 6.824 Distributed Systems - Course materials from MIT OpenCourseWare, used under CC BY-NC-SA 4.0. TokenMax is free and is not affiliated with or endorsed by MIT. Lecture videos link out to ocw.mit.edu. A REAL PYTHON LAB IN YOUR POCKET - Embedded Python 3.13 — write code and run it without leaving the app. - Auto-graded problem sets check your work line by line, with results in seconds. - Built for learning: the interpreter runs only the bundled lessons and the code you type. It never downloads or executes code from the internet, and network access inside the Python sandbox is disabled. - "Python Tutor (OCW 6.0001)" persona — a Socratic tutor that asks leading questions, runs your code through Python before commenting, and refuses to just hand you the answer. TERMINAL & SSH - A real sandboxed shell with twenty-something built-ins (ls, cd, cat, head, tail, grep, find, mkdir, mv, cp, rm, touch, …) operating only on the app's own writable directories. - SSH client in pure Swift. Save hosts in Settings, connect with password or ED25519 / RSA private keys, host-key fingerprint pinning on first connect. - Per-conversation Plan / Execute mode lets the model drive the terminal. Plan mode allows read-only commands; Execute mode requires per-command approval for anything destructive. AN AI THAT NEVER PHONES HOME - A language model ships inside the app — start chatting on first launch, even in Airplane Mode. - Streaming responses, regenerate, edit and re-roll, copy, pin, folders, in-conversation search, export to PDF / Markdown / JSON, share extension. - Sees photos, hears your voice, reads PDFs. Vision-language models run natively on Apple Silicon via mlx-swift: Qwen2.5-VL 7B on iPhone 15 Pro / 16 Pro / 17 Pro, Qwen2-VL 2B on iPhone 13+. Attach a photo while a text-only model is active and TokenMax reads it on-device with OCR instead. - Drop a PDF, .docx, .md or .txt and ask questions about it — retrieval runs locally with Apple's NLEmbedding. - Web search with real source citations, only when you ask for it. - Slash commands: /summarize, /explain, /code, /tldr, /translate, /improve. PRIVACY YOU CAN AUDIT - Your work stays on your iPhone. The only network calls TokenMax can make are optional model downloads, web search you trigger, and SSH connections to servers you've added — and Settings → Privacy & Data lists every one of them: the host, what data leaves, and what triggers it. - Sealed mode hard-blocks all network traffic with one switch. - Versioned in-app Terms and Privacy Policy. REQUIREMENTS - iPhone 13 or newer recommended. Runs on iPad too. iPhone 15 Pro / 16 Pro / 17 Pro for the 7B vision model. - Falcon 3 1B ships pre-installed — no download needed to start. Larger open-weight models are optional downloads that always show their exact size first (Qwen 2-VL / 2.5-VL under Tongyi Qianwen License, Falcon 3 under TII Falcon-LLM License 2.0, Bonsai 8B under Apache 2.0). TokenMax is built by Vellora AI. We don't run a server. We can't read your work because it never reaches us.
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Verdict
The clearest difference is rating: TokenMax at 5.0 against MIT Mobile's 2.4. TokenMax also leads on update cadence (weekly vs every 5 months). MIT Mobile's advantage is ratings volume (29 vs 1) and iOS requirement (15.0 vs 17.0). On price, ads, in-app purchases and monetization model 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.
TokenMax holds the better App Store score, 5.0 against 2.4. That said, the two scores are not equally well evidenced: MIT Mobile has 29 ratings behind it against 1, so its average is the more settled of the two.
MIT Mobile ships an update every 5 months, TokenMax weekly. The most recent releases landed on October 6, 2026 and October 1, 2026 respectively.
| Parameter | MIT Mobile | TokenMax |
|---|---|---|
| Price | Free | Free |
| Rating | 2.4 (29 ratings) | 5.0 (1 ratings) — better |
| Positive reviews | 70.5% of reviews | — |
| Number of ratings | 29 — better | 1 |
| Update frequency | Every 5 months | Weekly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 15.0 — better | 17.0 |
| Further details — not scored | ||
| Size | 13 MB | 960 MB |
| Age rating | 4+ | 12+ |
| Developer | Massachusetts Institute of Technology | Zackary McKibbon |
Customer experience
MIT Mobile
TokenMax
In-app purchases
MIT Mobile
No in-app purchases
TokenMax
No in-app purchases
Questions
Is MIT Mobile free?
Is TokenMax free?
Which has better reviews, MIT Mobile or TokenMax?
Do MIT Mobile or TokenMax have ads?
Which is updated more often, MIT Mobile or TokenMax?
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