GLM-4.6V vs Presto Voice

What users praise

• • 128K context window handles large documents and videos in one pass.
• • Native function calling enables tool use, API calls, and code execution.
• • Open-source with Apache 2.0 license, commercial use allowed.
• • State-of-the-art OCR among open and closed models, per community.

What frustrates them

• • Large model requires 40GB+ VRAM, prohibitive for consumer GPUs.
• • Function calling inconsistent for complex multi-step visual tasks.
• • Privacy concerns in agentic chat: leaks private conversation data.
• • Model fails to run on Colab T4 or Kaggle T4 GPUs.

What users praise

• • Vendor claims up to 95% non-intervention on drive-thru orders, saving labor costs.
• • Claims an upselling engine with 88% offer acceptance and 6% revenue lift.
• • Runs a spectrum of Voice AI models to adapt to different menus and speech patterns.
• • Has 15+ years of restaurant-industry experience and national rollout references.

What frustrates them

• • No independent user reviews or community validation of the vendor's claims.
• • Brand name 'Presto' is confused with unrelated products like canners and transit cards.
• • App Store reviews for a similarly named app cite glitches, autoload failures, and connection errors.
• • Tourists report being locked out of the related Presto transit app without a Canadian address.