Introducing Mercury 2, the fastest reasoning LLM

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Introducing Mercury 2, the fastest reasoning LLM

A new frontier in LLM speed

A new frontier in LLMs speed

A new frontier in LLM speed

Inception’s breakthrough diffusion-based approach to language generation enables the world’s fastest, most efficient AI models with best-in-class quality.

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

Create a Javascript animation

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.

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

Early Access

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

Early Access

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

Early Access

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

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

We use Mercury 2 across Mission Control for generating titles, descriptions, and slugs, and previously even in our onboarding flow to create checks for new users. At the time, we simply needed the fastest model available - and Mercury delivered.

Tyler Dunn, 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

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