Inception – When Every Millisecond Matters 10x free tokens on Mercury 2 | Claim yours 10x free tokens on Mercury 2. Claim yours Every Millisecond Matters Every Millisecond Matters Every Millisecond Matters Mercury is a new class of diffusion LLMs that matches the quality of speed optimized frontier models, with sub-300ms time to first token, 5-7x higher throughput, and up to 70% lower cost per task. Inception builds and deploys next‑generation large language models (LLMs) that are powered by diffusion rather than traditional auto‑regressive generation. By using diffusion, their models can produce many tokens in parallel, making them several times faster and less than half the cost of conventional LLMs. The diffusion framework also provides fine‑grained control over outputs, allowing adherence to specific schemas and semantic constraints. Additionally, it offers a unified paradigm for combining language with other data modalities such as audio, images, and video. The company’s team includes leading researchers and engineers from Stanford, UCLA, Cornell, Google DeepMind, Meta AI, Microsoft AI, and OpenAI, and they are currently deploying these diffusion LLMs at Fortune 500 companies. Explain what Inception does Inception builds and deploys next‑generation large language models (LLMs) that are powered by diffusion rather than traditional auto‑regressive generation. By using diffusion, their models can produce many tokens in parallel, making them several times faster and less than half the cost of conventional LLMs. The diffusion framework also provides fine‑grained control over outputs, allowing adherence to specific schemas and semantic constraints. Additionally, it offers a unified paradigm for combining language with other data modalities such as audio, images, and video. The company’s team includes leading researchers and engineers from Stanford, UCLA, Cornell, Google DeepMind, Meta AI, Microsoft AI, and OpenAI, and they are currently deploying these diffusion LLMs at Fortune 500 companies. Explain what Inception does Here are some prompts you can try with a diffusion-style LLM: 1. Explain a complex topic step by step, showing intermediate reasoning. 2. Generate multiple variations of a product tagline and refine them progressively. 3. Write a short story that improves its wording over several iterations. 4. Brainstorm startup ideas and evolve the best one through revisions. 5. Refactor a piece of code and show incremental improvements. 6. Describe an image concept and refine the details in stages. 7. Compare two technologies with increasingly deeper analysis. 8. Draft a landing page headline and iterate toward a clearer version. 9. Simulate a design critique that becomes more precise each step. 10. Turn rough notes into a polished summary through gradual refinement. Suggest 10 prompts for a dLLM Here are some prompts you can try with a diffusion-style LLM: 1. Explain a complex topic step by step, showing intermediate reasoning. 2. Generate multiple variations of a product tagline and refine them progressively. 3. Write a short story that improves its wording over several iterations. 4. Brainstorm startup ideas and evolve the best one through revisions. 5. Refactor a piece of code and show incremental improvements. 6. Describe an image concept and refine the details in stages. 7. Compare two technologies with increasingly deeper analysis. 8. Draft a landing page headline and iterate toward a clearer version. 9. Simulate a design critique that becomes more precise each step. 10. Turn rough notes into a polished summary through gradual refinement. Suggest 10 prompts for a dLLM Create a Javascript animation Create a Javascript animation Trusted by teams at Trusted by teams at The Mercury diffusion models introduce blazing fast inference with frontier quality at a fraction of the cost of other top-tier models. The Mercury diffusion models introduce blazing fast inference with frontier quality at a fraction of the cost of other top-tier models. Read our research Speed Benchmark Tokens/sec Speed Benchmark Tokens/sec The diffusion difference. From sequential to parallel All other LLMs generate text one token at a time. Mercury diffusion LLMs (dLLMs) generate tokens in parallel, increasing speed and maximizing GPU efficiency. Parallel Generation Mercury zap mango crisp lunar wobble spin felt droop echo Sequential Generation ChatGPT The Quick Brown Fox Jumps Over The Lazy Dog Parallel Generation Mercury zap mango crisp lunar wobble spin felt droop echo Sequential Generation ChatGPT The Quick Brown Fox Jumps Over The Lazy Dog Blazing-fast performance you can notice Write code Real-Time Voice Instant Agents Write code Real-Time Voice Instant Agents Build the future of AI apps with Mercury Get Started Lightning fast agents Automate complex coding and other business workflows with with ultra-responsive AI. Real-time voice Engage naturally with AI in voice-powered workflows like customer support, translation, and immersive gaming. Instant code editing Stay in-the-flow with responsive autocomplete, intelligent tab suggestions, and fast chat responses. Fast, creative co-pilots Supercharge editorial and creative work—less waiting, more creating. Rapid search Instantly surface the right data from across your organization’s knowledge base. Foundational models Meet our family of diffusion models Mercury 2 Get Started Docs The fastest reasoning LLM and the first reasoning dLLM. Ideal for complex applications where performance and speed are crucial. Input $0.25 per 1M tokens Output $0.75 per 1M tokens Mercury 2 The fastest reasoning LLM and the first reasoning dLLM. Ideal for complex applications where performance and speed are crucial. Input $0.25 per 1M tokens Output $0.75 per 1M tokens Early Access Read API Docs Mercury Edit 2 Get Started Docs A small, coding-focused dLLM. Ideal for code editing and other extremely latency-sensitive components of coding workflows. Input $0.25 per 1M tokens Output $0.75 per 1M tokens Mercury Edit 2 A small, coding-focused dLLM. Ideal for code editing and other extremely latency-sensitive components of coding workflows. Input $0.25 per 1M tokens Output $0.75 per 1M tokens Early Access Read API Docs Research Led by visionary AI researchers Our founders pioneered diffusion modeling and invented cornerstone AI technologies. Our Research Diffusion Models Read paper The underlying approach for modern image and video generation, powering applications including Sora and MidJourney. Flash Attention Read paper A key algorithm for efficient GPU utilization in LLM training and inference. Direct Preference Optimization Read paper One of the core approaches for aligning LLMs with human feedback. Loved by leaders and innovators Book a Demo Because Mercury 2 delivers the perfect threshold of intelligence at lightning speeds, the equation heavily works in our favor. We cut summarization latency by 82% and dropped costs by 90%. Ankur Rustagi & John Mu Because Mercury 2 delivers the perfect threshold of intelligence at lightning speeds, the equation heavily works in our favor. We cut summarization latency by 82% and dropped costs by 90%. Ankur Rustagi & John Mu After trying Mercury, it's hard to go back. We are excited to roll out Mercury to support all of our voice agents. Oliver Silverstein, CEO After trying Mercury, it's hard to go back. We are excited to roll out Mercury to support all of our voice agents. Oliver Silverstein, CEO Speed in a code editor isn't a nice-to-have. It's the difference between staying in flow and losing your train of thought. Mercury completions land fast enough to feel like part of the developer's own thinking, not an interruption to it. Max Brunsfeld, Co-founder Speed in a code editor isn't a nice-to-have. It's the difference between staying in flow and losing your train of thought. Mercury completions land fast enough to feel like part of the developer's own thinking, not an interruption to it. Max Brunsfeld, Co-founder Speed in a code editor isn't a nice-to-have. It's the difference between staying in flow and losing your train of thought. Mercury completions land fast enough to feel like part of the developer's own thinking, not an interruption to it. Max Brunsfeld, Co-founder Enterprise-grade privacy and reliability Enterprise-grade privacy and reliability Enterprise-grade privacy and reliability We’re available through major cloud providers like AWS Bedrock and Azure Foundry. Talk with us about fine-tuning and private deployments. Talk to Sales Integrate in seconds Our models are OpenAI API compatible and a drop-in replacement for traditional LLMs. Enterprise AI partner We’re available through major cloud providers like AWS Bedrock and Azure Foundry. Reliability at scale Get 99.5%+ uptime and priority support with custom SLAs. 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