#1 speed 😎 cc Artificial Analysis

Speed matters in reasoning. If your model takes too long to think, it can’t operate in real time. Sid Kharbanda shares how diffusion reasoning models deliver 5x faster pipelines and higher engineering output. → Learn more: inceptionlabs.ai → Open roles:

Proud to be featured by Jensen Huang at GTC among the model builders pushing AI forward. From research to production, diffusion is unlocking a new frontier of speed and efficiency in AI.

Agents run dozens of inference calls per task. Latency compounds. Cost compounds. We tested Mercury 2 on PinchBench — the benchmark built on OpenClaw🦞, the fastest-growing open-source project in GitHub history. 78% success rate. Fastest in class. Under $1/M tokens. This is

Tim Tully recently sat down with Inception's founders to tell the full story — from Stanford to building the first commercial diffusion LLM. Watch the conversation here: menlovc.com/perspective/fr…

Artificial Analysis launched a Model Recommender. Set your priorities for intelligence, speed, and cost, and it ranks the best models for your stack. Mercury 2 ranks first. See the full ranking on Artificial Analysis: artificialanalysis.ai/models/recomme…

First Sid by Sid clip just dropped. One founding engineer. One GTM guy. No script. Text compaction, summarization, and voice are the use cases where Mercury keeps winning. Baseline quality, 3-5x faster, fraction of the cost. Every customer keeps saying the same three words: