Robert TaFounder & CEO, Clarity · Building Hyper-Personalized Agents

Claude Opus 4.8 vs GPT vs Gemini

17 Jun 2026 · 1 min

Watch on YouTube

1:13

In this video, Robert Ta announces the release of Claude Opus 4.8 and outlines the key upgrades for developers. The new version enables running hundreds to thousands of parallel agents within a single Claude code session and defaults to honest answers rather than confident hallucinations. Users now have direct control over the amount of effort Claude expends on a task. Cloud Code introduces a dynamic workflows feature that can tackle very large‑scale problems. A new fast mode runs the model at 2.5× speed while reducing cost to roughly one‑third of previous versions. Performance benchmarks show Opus 4.8 surpassing Claude 4.7 by about five points, beating GPT‑5.5 by roughly ten points, and outpacing Gemini by about fifteen points on agentic coding tasks. Shopify’s endorsement highlights Opus 4.8’s superior judgment, self‑error detection, and ability to push back on unsound plans, positioning it as a reliable foundation for complex multi‑service explorations.

Chapters

Claude Opus 4.8, dynamic workflows, and the near $1 trillion valuation. We're upgrading Claude Opus to a new version, Claude Opus 4.8. Here's what happened and what matters for anyone building with Claude. You could run hundreds, thousands of parallel agents now in a single Claude code session and get honest answers by default instead of confident hallucinations. Users on Claude AI now have control over the amount of effort Claude puts into a task. Cloud Code has a new dynamic workflows feature that allows it to tackle very large-scale problems and fast mode for Opus 4.8, where the model can work at 2.5x the speed and is now 3 times cheaper than it was for previous models. Here is a comparison. So for agentic coding, 4.8 beats out 4.7 by almost 5 points, beats out GPT-5.5 by almost like Right above 10 points and Gemini right above 15 points. Let's see what Shopify says. Shopify says Claude Opus 4.8 has noticeably better judgment. In cloud code, it asks the right questions, catches its own mistakes, pushes back when a plan isn't sound, and builds up confidence around complex multi-service explorations before making big changes. It's a great model to build with.