
Grok 4.7 vs Claude Opus 5.5 vs GPT-6 Sol: The Only Numbers That Overlap
Grok 4.7, Opus 5.5, and GPT-6 Sol shipped within 48 hours. Here's the one shared benchmark, plus pricing, that lets you compare all three.

Expert profile
Founder & AI Product Leader
Yash Thakker is a Generative AI expert with over 12 years of experience in product leadership and technical strategy. As the founder of explainx.ai, he has taught over 300,000 learners and built AI platforms serving millions of users globally. He specializes in Agentic AI, Multimodal RAG, and the intersection of LLMs with consumer hardware.

Grok 4.7, Opus 5.5, and GPT-6 Sol shipped within 48 hours. Here's the one shared benchmark, plus pricing, that lets you compare all three.

Grok Bot added voice ordering through Amazon and DoorDash, plus Google Workspace integration and 53 desktop fixes. What each one enables.

Hugging Face's Transformers reportedly closed the speed gap with llama.cpp for GGUF models. What that means for local inference tooling.

Meta added PayPal, Shopify, and Expedia to Muse — plus human phone operators and a patched zero-day. What Muse can actually transact on now.

Microsoft and Coinbase dismantled EvilTokens, an AI-powered cybercrime platform linked to 12,000 compromised inboxes. What it did, and how.

Nebius raised Token Factory GPU prices 16-20%, its second hike this year. What's driving it, and how to decide whether to switch providers.

OpenAI proposed giving third-party assessors deep access across training, evaluation, and deployment. What the proposal actually commits to.

CopilotKit's OpenMuse: an MIT-licensed personal agent with a browser, Linux terminal, and Gmail/Calendar integration. What's real vs roadmap.

Opus 5.5 changed how you should prompt Claude for work. Practice the new workflow live in explainx.ai's Claude for Work workshop, Oct 3-4.

From a formally-verified SDK to a reverse CAPTCHA — 10 real, documented things builders shipped with Claude Opus 5.5 in its first 24 hours.

Perplexity's new training method cut tool-call failures 21.2% in a live A/B test by learning from its own errors with validated hints.

Rigel, a 2.3B model, reportedly matches Llama-3.2-3B using under 1% of comparable pretraining compute. What the claim says, and what to verify.