Mercury 2.5 LLM hits 770 tokens per second

What changed

Mercury 2.5 Intelligence, Performance & Price Analysis Model summary Mercury 2.5 is below average in intelligence, but well priced when comparing to other models of similar price. It's also notably fast and fairly concise. The model supports text input, outputs text, and has a 260k tokens context window.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• OpenSpec – A lightweight and configurable AI spec framework
• Running a 28.9M parameter LLM on an $8 microcontroller
• The efficient frontier of LLM inference

• OpenSpec – A lightweight and configurable AI spec framework similarity 0.42
• Running a 28.9M parameter LLM on an $8 microcontroller similarity 0.42
• The efficient frontier of LLM inference similarity 0.40