4 ms·
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 d
by kristianp 8mo ago
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?
- volodia 8mo agoYou can think of Mercury 2 as roughly in the same intelligence tier as other speed-optimized models (e.g., Haiku 4.5, Grok Fast, GPT-Mini–class systems). The main differentiator is latency — it’s ~5× faster at comparable quality. 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.
- nayroclade 8mo agoIs the approach fundamentally limited to smaller models? Or could you theoretically train a model as powerful as the largest models, but much faster?
- xanth 8mo agoAre you dogfooding it on simple tasks? If so what do you use it for regularly and what do you avoid?
- bjt12345 8mo agoIf latency is the differentiator, would you be chasing the edge compute marketplace, e.g. mobile edge compute AI agents?