Comparison

VecML vs Local LLM

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

VecML

This app provides on-device tools for intelligent photo search and large language models. It processes local documents and images to create embedding vectors for enhanced RAG capabilities, enabling more accurate AI responses based on your files.

Highlights
  • On-device LLM integration
  • Intelligent photo search
  • Document processing (PDF, DOC, images)
  • Local embedding vector storage
  • RAG capabilities for enhanced accuracy
  • Conversations with local documents
Read full description

VecML APP offers tools for intelligent photo search and large language models (LLMs) fully on device. Users can select from a range of small LLMs and engage in conversations with documents stored locally. The app can process files (PDFs, DOC documents, images, etc.) to generate embedding vectors, which are stored locally on the device. These embedding vectors are crucial for RAG (retrieval-augmented generation) capabilities, enhancing the LLM's ability to provide more accurate and relevant responses when queries are related to the local files.

About

Local LLM

Run advanced AI language models directly on your device without needing an internet connection. Explore a variety of quantized models optimized for mobile performance and enjoy features like real-time streaming and local data storage.

Highlights
  • Run AI models locally on iPhone
  • No cloud or internet required
  • Access quantized AI models
  • Supports GGUF-format models
  • Metal GPU acceleration
  • RAG with embeddings
  • SQLite conversation storage
Features
Read full description

MITHRIL is a private AI assistant that runs on your iPhone and iPad. Your conversations are processed on the device and saved on the device. No account, no cloud, no tracking. TWO KINDS OF MODELS • Apple's on-device model, built into iOS 26 on devices with Apple Intelligence. Nothing to download. • Open models from Hugging Face in GGUF format, from companies like Alibaba, Google, Meta, Microsoft, Mistral, DeepSeek and Liquid AI. Browse by company, see whether a model fits your device's memory before you download it, and switch any time. AN ASSISTANT THAT CAN DO THINGS It knows today's date, the time and your city from your device, and asks before it acts. Texts and emails open as drafts for you to review and send. Choose which abilities it can use: • Reminders and calendar events • Texts, email and phone calls • Look up your contacts • Directions and places nearby • Run your Shortcuts • Web search: Wikipedia, DuckDuckGo, or Brave with your own key • Search your own documents • Today's date and exact math PRIVACY YOU CAN SEE The Privacy map shows what runs on your device, what goes online, and exactly what is sent. A web search sends only the search words, never your conversation, and your location is only turned into a city name. A live list shows every network request MITHRIL makes. VOICE Dictate with Apple's speech recognition, or download NVIDIA Parakeet for more accurate on-device transcription. Hear answers in natural voices generated on the device. The floating assistant stays with you in Picture in Picture while you use other apps. FOR THE CURIOUS Tap the speed line under an answer for a live engine dashboard: tokens per second, time to first token, context use, cache hits and memory. REQUIREMENTS iOS 26. Apple's on-device model needs a device with Apple Intelligence. Open models run on any supported iPhone or iPad. Larger models need more memory, and MITHRIL shows what fits before you download. Models are made by their publishers and downloaded from Hugging Face. MITHRIL doesn't train or host models.

Screenshots

VecML4 screens
Local LLM4 screens

Verdict

The call

The clearest difference is rating: VecML at 5.0 against Local LLM's 4.5. VecML also leads on iOS requirement (18.0 vs 26.0). Local LLM's advantage is ratings volume (15 vs 2). On price, update cadence, ads and in-app purchases 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

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

ReceptionRating · Positive reviews · Number of ratings

VecML holds the better App Store score, 5.0 against 4.5. That said, the two scores are not equally well evidenced: Local LLM has 15 ratings behind it against 2, so its average is the more settled of the two.

UpkeepUpdate frequency

VecML ships an update every 3 days, Local LLM every 4 days. The most recent releases landed on October 6, 2026 and October 11, 2026 respectively.

Scorecard3 real differences · 7 level
VecML versus Local LLM: the parameters behind the verdict, then further details
ParameterVecMLLocal LLM
PriceFreeFree
Rating5.0 (2 ratings) — better4.5 (15 ratings)
Positive reviews—88.9% of reviews
Number of ratings215 — better
Update frequencyEvery 3 days — betterEvery 4 days
AdsNoNo
In-app purchasesNoNo
MonetizationFreeFree
DevicesiPhoneiPhone, iPad — better
Requires iOS18.0 — better26.0
Further details — not scored
Size618 MB23 MB
Age rating17+12+
DeveloperVecML Inc.DEPLOY FORWARD LLC

Customer experience

VecML

All ratings2 ratings
Positive100.0%
Neutral0.0%
Negative0.0%

Local LLM

All ratings15 ratings
Positive93.3%
Neutral0.0%
Negative6.7%
Written reviews9 reviews
Positive88.9%
Neutral0.0%
Negative11.1%

In-app purchases

None

VecML

No in-app purchases

None

Local LLM

No in-app purchases

Questions

Is VecML free?
VecML is free to download, with no in-app purchases.
Is Local LLM free?
Local LLM is free to download, with no in-app purchases.
Which has better reviews, VecML or Local LLM?
VecML is rated higher. VecML averages 5.0 out of 5 from 2 ratings, while Local LLM averages 4.5 from 15 ratings.
Do VecML or Local LLM have ads?
Neither VecML nor Local LLM shows ads.
Which is updated more often, VecML or Local LLM?
VecML ships an update every 3 days, and Local LLM every 4 days. Most recently, VecML was updated on October 6, 2026 and Local LLM on October 11, 2026.

Other comparisons