Mercury 2.5 benchmarked at 770 tokens per second, scores low on intelligence index
Mercury 2.5, a text-only large language model with a 260k token context window, has been benchmarked at 770 tokens per second on Artificial Analysis's testing. It scored 12 on the Intelligence Index, below the median of 13, while using fewer tokens (35M vs a median 85M) to complete the evaluation. Pricing sits at $0.25 per 1M input tokens and $0.75 per 1M output tokens, close to category medians.