Anthropic just dropped Claude Opus 5.5, and the numbers are telling a very specific story: this model is brilliant, but it takes its sweet time getting there.
Let's break it down. The model scored 58 on the Artificial Analysis Intelligence Index. The median for comparable models is 25. That's not just above average, that's a different league entirely.
But here's the catch. To get there, it generated 260 million tokens during evaluation. The typical model uses around 88 million.
Think of it like hiring a brilliant consultant who doesn't just answer your question. They think out loud, extensively, working through every angle before giving you the final verdict. The answer is great, but that thinking time isn't free.
This comes down to Claude Opus 5.5 running in Adaptive Reasoning mode at Max Effort, meaning it gives itself way more room to reason before committing to an output. More thinking equals sharper answers, but every one of those extra tokens gets billed.
The model handles text and image input, and comes with a massive 1M token context window. You could feed it an entire book and it won't forget chapter one by the time it reaches the epilogue.
The real question developers are chewing on right now: is the extra intelligence worth the extra cost? The answer depends entirely on the use case. But one thing is clear, the AI race just entered a new phase where the motto is 'think harder, pay harder'.
🔗 Original Source & Reference: https://artificialanalysis.ai/models/claude-opus-5-5
Published automatically via FeedMind AI Content Pipeline.
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