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Inception

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Pioneering a new generation of LLMs.

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We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

1,918,773 views

Mercury is refreshed – with across-the-board improvements in coding, instruction following, math, and knowledge recall. Start building responsive, in-the-flow AI solutions! Read more:

Mercury is refreshed – with across-the-board improvements in coding, instruction following, math, and knowledge recall. Start building responsive, in-the-flow AI solutions! Read more:

54,856 views

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Today, we’re introducing Mercury Voice, a diffusion LLM specialized for agentic voice applications. Mercury Voice delivers 2x+ lower latency than models including GPT-6 Luna, Gemma 4 31B, and Claude Haiku 4.5, while beating them on a range of voice benchmarks. Enterprise customers interested in Mercury Voice can contact us at sales@inceptionlabs.ai to get access.

Today, we’re introducing Mercury Voice, a diffusion LLM specialized for agentic voice applications. Mercury Voice delivers 2x+ lower latency than models including GPT-6 Luna, Gemma 4 31B, and Claude Haiku 4.5, while beating them on a range of voice benchmarks. Enterprise customers interested in Mercury Voice can contact us at [email protected] to get access.

56,259 views • 20 days ago

Introducing Mercury Decide: the most intelligent decision model on OpenRouter (JevBench v1.4) and one of the fastest. Up to 14 decisions per second. Watch it go head-to-head with Jev in chess. Free for early access on OpenRouter:

Introducing Mercury Decide: the most intelligent decision model on OpenRouter (JevBench v1.4) and one of the fastest. Up to 14 decisions per second. Watch it go head-to-head with Jev in chess. Free for early access on OpenRouter:

19,990 views • 19 days ago

We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.

We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.

90,673 views • 1 year ago

Today's autoregressive models generate one token at a time. Mercury 2 generates tokens in parallel. Over 1,000 tok/sec on standard GPUs, at comparable quality to speed-optimized models. Since launch, the community has been showing what diffusion LLMs can unlock. Thanks to the team at Clyep for the breakdown.

Today's autoregressive models generate one token at a time. Mercury 2 generates tokens in parallel. Over 1,000 tok/sec on standard GPUs, at comparable quality to speed-optimized models. Since launch, the community has been showing what diffusion LLMs can unlock. Thanks to the team at Clyep for the breakdown.

21,231 views • 5 months ago

What if language models didn't have to generate one token at a time? Our CEO Stefano Ermon joined TBPN to break down how Mercury 2's diffusion LLM hits 1,000+ tok/s on standard NVIDIA GPUs — and why speed changes the product for coding, voice agents, and search.

What if language models didn't have to generate one token at a time? Our CEO Stefano Ermon joined TBPN to break down how Mercury 2's diffusion LLM hits 1,000+ tok/s on standard NVIDIA GPUs — and why speed changes the product for coding, voice agents, and search.

27,188 views • 7 months ago

Try Mercury Coder on our playground at

Try Mercury Coder on our playground at

47,169 views • 1 year ago

Inception's founding team came together at Stanford. Aditya Grover was Stefano Ermon's second PhD student. Volodymyr Kuleshov 🇺🇦 joined the group as a postdoc. Aditya and Volo shared an office. Years later, Stefano's lab hit a breakthrough on diffusion for language. Volo's group at Cornell was publishing adjacent work. Aditya's research at UCLA overlapped with the direction. Part 3 of our founder story series with Tim Tully at Menlo Ventures ↓

Inception's founding team came together at Stanford. Aditya Grover was Stefano Ermon's second PhD student. Volodymyr Kuleshov 🇺🇦 joined the group as a postdoc. Aditya and Volo shared an office. Years later, Stefano's lab hit a breakthrough on diffusion for language. Volo's group at Cornell was publishing adjacent work. Aditya's research at UCLA overlapped with the direction. Part 3 of our founder story series with Tim Tully at Menlo Ventures ↓

16,653 views • 6 months ago

Listen to Samar Khanna explain why parallel generation, rather than sequential, raises the performance ceiling for language models. Learn more about diffusion LLMs. → We're hiring:

Listen to Samar Khanna explain why parallel generation, rather than sequential, raises the performance ceiling for language models. Learn more about diffusion LLMs. → We're hiring:

18,582 views • 7 months ago

Reasoning = step-by-step thinking. Usually. Diffusion reasons in parallel and refines natively. Better quality without the latency tax. Samar Khanna on how diffusion reasoning works. We're hiring →

Reasoning = step-by-step thinking. Usually. Diffusion reasons in parallel and refines natively. Better quality without the latency tax. Samar Khanna on how diffusion reasoning works. We're hiring →

16,490 views • 6 months ago

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