How big is Mercury 2? How many tokens is it trained on?
Is it's agentic accuracy good enough to operate, say, coding agents without needing a larger model to do more difficult tasks?
Is it's agentic accuracy good enough to operate, say, coding agents without needing a larger model to do more difficult tasks?
We’re not positioning it as competing with the largest models (Opus 4.5, etc.) on hardest-case reasoning. It’s more of a “fast agent” model (like Composer in Cursor, or Haiku 4.5 in some IDEs): strong on common coding and tool-use tasks, and providing very quick iteration loops.