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Inception Labs launches Mercury 3 diffusion model, claiming 1,068 tokens/sec speed

By PulseAugur Editorial · [1 sources] ·

Inception Labs has released Mercury 3, a diffusion language model that generates entire responses in parallel rather than token by token. This approach allows for a claimed speed of 1,068 tokens per second on NVIDIA GPUs, significantly faster than existing models. Mercury 3 also boasts a 1 million token context window and competitive introductory pricing. While Inception Labs claims Mercury 3 outperforms models like GPT-6 Luna and Claude Haiku 5.5 on several benchmarks, independent verification of these figures and the promotional pricing is still pending. AI

IMPACT This diffusion model approach could redefine LLM speed benchmarks and accelerate real-time AI applications.

RANK_REASON New model release from a lab claiming significant performance improvements. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Inception Labs launches Mercury 3 diffusion model, claiming 1,068 tokens/sec speed

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New model release from a lab claiming significant performance improvements. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ToolPilot Pro ·

    Mercury 3: The 1,068 Tokens/Sec Diffusion Model vs GPT-6 Luna

    <p>Every fast AI model you have ever used writes one token at a time, and a long answer takes a long time because word six cannot start until word five exists. On October 19, Inception Labs shipped a model that refuses to play that game. Mercury 3 is a diffusion language model: i…

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