Mercury 3: Inception Claims Up to 8x Faster Text Generation
Inception launches Mercury 3, a diffusion LLM that generates 1,068 tokens per second. Image: Inception
Delays add up when an AI agent needs multiple model calls to complete a task.
Inception introduced Mercury 3 on Oct. 19, claiming faster text generation and competitive benchmark performance against models from OpenAI and Anthropic. For developers building customer support, search and browser agents, the practical question is whether that speed translates into faster successful tasks at an acceptable cost.
Unlike conventional autoregressive models, which generate text one token at a time, diffusion models can generate and refine multiple tokens in parallel. Inception says this approach allows Mercury 3 to reach 1,068 tokens per second on Nvidia GPUs while matching or outperforming OpenAI’s GPT-6 Luna and Anthropic’s Claude Haiku 5.5 across a range of benchmarks.
According to Inception, Mercury 3 has more than 40 times as many total parameters as Mercury 1, with a...
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