Inception launches Mercury 2.5 diffusion model, boosts intelligence by 40%

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Inception, an AI startup, has launched Mercury 2.5, a diffusion-based large language model offering a 40% intelligence improvement over its predecessor while processing 1,107 tokens per second on standard NVIDIA GPUs. The model features a 260,000-token context window with standard pricing of $0.20 per million input tokens and $0.75 per million output tokens. The company raised $50 million in funding led by Menlo Ventures with backing from Andrew Ng and Andrej Karpathy. The model ships via an OpenAI-compatible API with an 80% launch discount bringing costs down to $0.04 per million input tokens. Early adopter OpenCall reported median latencies under 200 milliseconds for voice interactions.

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