Audience

Voice AI infrastructure teams that need low-latency reasoning models for phone agents, tool-calling workflows, and natural customer conversations

About Mercury 2

Mercury 2 is the first reasoning model fast enough to pick up the phone, a reasoning diffusion language model built for real-time voice agents. Instead of making callers wait through seconds of dead air while an autoregressive model generates thinking tokens one by one, Mercury 2 uses a diffusion large language model architecture to generate tokens in parallel, decoding 1000+ tokens per second on standard NVIDIA GPUs. That speed is fast enough to run a full reasoning pass and start speaking within the latency budget of a natural conversation, reducing the cost of reasoning from seconds of silence to roughly 300 milliseconds. Mercury models work by corrupting clean text into noise, then training a standard Transformer to reverse the process and predict clean text across all positions simultaneously. Because each denoising pass touches many tokens, generation uses the GPU more efficiently than one-token-at-a-time decoding, making custom-silicon-like speed possible on NVIDIA H100s.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, Mercury 2 offers API access

Ratings/Reviews

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Company Information

Inception
United States
www.inceptionlabs.ai/blog/mercury-2-the-first-reasoning-model-fast-enough-to-pick-up-the-phone

Videos and Screen Captures

Mercury 2 Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Mercury 2 Frequently Asked Questions

Q: What kinds of users and organization types does Mercury 2 work with?
Q: What languages does Mercury 2 support in their product?
Q: What kind of support options does Mercury 2 offer?
Q: What other applications or services does Mercury 2 integrate with?
Q: Does Mercury 2 have an API?
Q: What type of training does Mercury 2 provide?
Q: Does Mercury 2 offer a free trial?

Mercury 2 Product Features