New Mercury 3 model claims 8-fold speed edge over GPT-6 rivals
The diffusion model aims to reduce delays in tutoring, translation and agent workflows while matching or beating recent OpenAI and Anthropic systems.
6 Articles
6 Articles
Inception's Mercury 3: a diffusion model built for speed
Inception, the Redwood City AI lab, released Mercury 3 on Monday. It is the newest version of what the company calls a diffusion LLM, a design that differs from the systems behind most chatbots. Most language models are autoregressive. They write one token at a time, each one chosen after the last. A diffusion model […] This story continues at The Next Web
Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed
Diffusion language model startup Inception AI Inc. today released Mercury 3, its new flagship model. In the company’s own benchmarks, Mercury 3 beat OpenAI Group PBC’s GPT-6 Luna and Anthropic PBC’s Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed. The release takes on the main doubt about Inception’s […]
Inception Unveils Mercury 3 Diffusion-Based Language Model Challenging Traditional AI Economics
Inception has released Mercury 3, its most capable diffusion-based language model to date, designed to compete directly with cost-optimized frontier models like GPT-6 Luna and Claude Haiku 5.5. Unlike conventional autoregressive models that generate text one token at a time in sequence, Mercury 3 utilizes a diffusion process to produce and refine multiple tokens simultaneously […]
Inception’s Mercury 3 Undercuts the Speed-Optimized Frontier at 1,068 Tokens per Second
At 1,068 tokens per second on NVIDIA GPUs, Inception Labs’ Mercury 3, released October 19, 2026, establishes a new performance baseline that renders the existing fast-cheap tier of frontier models obsolete. By utilizing a diffusion-based architecture, the model generates tokens in parallel through a denoising process rather than the sequential autoregressive methods used by incumbents. […]
Coverage Details
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium










