Inception launches Mercury 3, a diffusion-based LLM it claims is "comparable to Luna and Haiku models" but 4x to 8x faster, generating ~1,000 tokens per second (Jason Hiner/The Deep View)
W — hile the AI industry has bet heavily on LLMs and the massive data centers needed to scale them …
Inception has launched Mercury 3, a diffusion-based large language model. According to Hacker News, the model is the most capable diffusion-based LLM released to date, outperforming GPT-6 Luna and Claude Haiku 5.5 across various benchmarks. Techmeme reports the model is comparable to Luna and Haiku models but runs 4x to 8x faster.
Hacker News states that Mercury 3 generates 1,068 tokens per second on NVIDIA GPUs and features a 1M token context window. The model is more than 40x larger than Mercury 1, with intelligence rising 3x across standard benchmarks compared to the first version. Early-access partners are utilizing the model for tasks such as web navigation, data engineering, real-time tutoring, and voice and chat support.
The standard pricing for Mercury 3 is $0.20 per million input tokens and $0.70 per million output tokens, though it is currently 50% off at launch. Hacker News notes that cached tokens are available at 90% off the input price.
Brief written by urgent.news from Techmeme, Hacker News — 2 reports on this story. Machine-written — may contain errors; check the original before relying on it.
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- Inception "Mercury 3", 1000 tok/s diffusion LLM inceptionlabs.ai
