Author (@alexatallah) warns agents are currently defaulting to Sonnet 4 and…

Brief

Alex A. criticizes agents that indiscriminately select Sonnet 4 and GPT-4o, arguing model choice should be data-driven. He highlights OpenRouter's MCP (introduced June 25, 2026) as a solution that injects real-time benchmarks, live pricing, and empirical usage into agents so they can pick, price, and test the most appropriate model rather than guessing from stale training data.

Key details

OpenRouter's MCP (announced June 25, 2026) provides live model intelligence—real-time benchmarks, live pricing data, and empirical usage metrics—to let agents pick, price, and test the best model instead of relying on ~6-month-old training data.

"Which model should I use for this?"

Stop your agent from putting Sonnet 4 and GPT-4o everywhere.

The @OpenRouter MCP helps your agent leverage real-time benchmarks, live pricing data, and empirical usage data across the market

OpenRouter (@OpenRouter)

Introducing the OpenRouter MCP, live model intelligence right inside your agent

Your agent builds and ships, but when it comes to choosing the right model for the right job, it guesses from 6 month old training data

Watch it pick, price, and test the right model:

Video

— https://nitter.net/OpenRouter/status/2070160491360780798#m

Brief

Why it matters

Key details