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.

Our CEO @StefanoErmon joined the Infinite Curiosity Podcast and shared how our Mercury diffusion LLMs deliver faster, cheaper models and why diffusion is reshaping coding, reasoning, and multimodal AI. Thanks for having him on @PrateekVJoshi! https://t.co/9gTrf5IEMV

We’re in! We are now part of the #AWSGenAIAccelerator2025. We’re looking forward to working with @AWSstartups to help us deliver ultra-fast and efficient diffusion large language models.

Honored that our co-founder @adityagrover_ has been named to the 2025 Mayfield | Divot AI List! Thank you to @MayfieldFund and @StartupGrind for the recognition alongside 50 innovators shaping the future of AI. See the full list here:

@continuedev For more info, check out our blog:

Why guess when you can know?

You can use Mercury Coder’s Apply-Edit functionality immediately through the @continuedev extension on VS Code. Apply-Edit is also available through the Inception Platform: https://t.co/8163kehKqi #dLLM #InceptionAI #ApplyEdit

Apply-Edit entails integrating suggested code changes into existing code. With its diffusion-based, parallel generation process, Mercury Coder strictly dominates both frontier LLMs and specialized Apply-Edit models in speed, quality, and cost.

Mercury Coder now supports Apply-Edit capabilities, providing quality on par with GPT-5 at speeds 46x faster!

Our cofounder @adityagrover_ is one of MIT Technology Review's 35 Innovators Under 35, which recognizes the top young innovators around the world!! https://t.co/mMX0IkewNn

🚀Our CEO @StefanoErmon recently spoke on @latentspacepod about Mercury - our family of game-changing diffusion LLMs! 📊 The numbers speak for themselves: 1000+ tokens/second 5-10x faster than speed-optimized models #1 for speed & quality on Copilot Arena Parallel token

Code editing just got a lot faster.⚡Introducing Next Edit⚡ Next Edit delivers real-time, multi-line suggestions at up to 1100 tokens/sec, powered by @inceptionAILabs Mercury Coder, the world’s first commercial-scale diffusion LLM for code.

Read more here: https://t.co/YVKkPdZIM3 Here's our AWS listing:

4. Batch Processing: Use Bedrock’s batch processing APIs to get a 10x throughput improvement for large-scale tasks.

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3. Unified API: Access Mercury models alongside a wide array of other Bedrock foundation models through a single, consistent API, simplifying development and integration.

2. Compliance: Bedrock also adheres to a comprehensive set of industry compliance standards, including GDPR, HIPAA, and SOC 2, ensuring your deployments meet stringent regulatory requirements.

1. Data Security: Bedrock lets your services connect to Mercury models while ensuring your data stays within your virtual private cloud (VPC), ensuring that no one outside your organization has access to it.

Mercury and Mercury Coder are now available on Amazon Bedrock and SageMaker JumpStart! These services enable you to deploy Mercury models at scale in a robust, secure environment.

Read more on the Inception Blog:

Toronto's Radient AI is using Inception Labs' breakthrough Mercury diffusion model to solve a critical problem in AI agents—slow routing decisions that kill user experience. The result? Sub-second model switching that cuts costs by 70% while keeping agents lightning-fast.

Try our API today at https://t.co/joTqBB0cZ4 If you have questions or feedback, please email support@inceptionlabs.ai or ask on Discord: https://t.co/wycN1qCrQ3.

6. Users can now opt out of allowing their data to be used for model training. The toggle is available on the Account Settings Page.

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