Google Gemini's AI Problem: No Leading Model for Core Workloads
bindureddy · x · 2026-07-22
The author argues that while Google's Gemini models are fine for general chat, they fall behind in core workloads. Specifically, Flash is worse than Grok at agentic loops; Pro feels like a legacy model; Veo is too expensive compared to SeeDance; the image model is beaten by GPT image; and Flash Lite suffers from high latency.
The TL;DR is that Google currently lacks a leading AI model for core workloads, and competitors like Grok are pulling ahead in instruction following.
Related event: Tests Criticize Google Gemini for Lacking Core Workload Capabilities(2 posts)→
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