All Apps/Developer Tools/Mercury

Mercury

Name: Mercury
Rating: 4.5 (920 reviews)

World's first commercial diffusion LLM — 1,000+ tokens per second

4.5(920 reviews)

Developer Tools

Quick buyer guide

Is Mercury right for you?

Use this section to decide whether Mercury belongs on your shortlist before you visit the vendor, request a demo, or start implementation planning.

Best for

Teams evaluating developer tools tools for a real business workflow.
Users who need world's first commercial diffusion llm — 1,000+ tokens per second.
Businesses that already use or can connect GitHub, VS Code, Cursor.

Not ideal if

Organisations that need enterprise procurement, compliance, and dedicated support from day one.
Teams without a clear use case, owner, or success metric for the tool.
Businesses that cannot yet review data, privacy, permissions, and approval requirements.

Common use cases

Assist with coding, debugging, testing, documentation, and code review.

Improve developer productivity inside IDEs, repositories, and CI workflows.

Generate boilerplate, explain code, and speed up common engineering tasks.

Support teams adopting AI-assisted software development practices.

Implementation effort

Medium

Mercury should be tested on one focused workflow first, especially if it connects to existing business systems or customer data.

Pricing clarity

A free tier may be available, but useful business features often sit behind paid plans. Check limits, exports, integrations, and team controls.

Digital by Default verdict

Mercury is worth considering if you need developer tools capability and the core features match a real workflow. Treat it as a medium-effort adoption: shortlist it, compare alternatives, and test it on a small but realistic process before wider rollout.

Questions to ask before buying

1Can the tool access private repositories, and how is that access controlled?
2Does it fit your IDE, git, CI, and code review workflow?
3How does it handle security, licensing, and generated-code review?
4Can usage be governed across the team?
5What data is used for model improvement, if any?

Need an implementation view?

Get help choosing or implementing Mercury

Digital by Default can help compare alternatives, map the workflow, check data/privacy considerations, and plan a safe rollout.

Book a discovery call

About

Mercury by Inception Labs is the first commercial-scale diffusion large language model, fundamentally changing how AI generates code and text. Rather than predicting tokens one at a time, Mercury generates a coarse draft and then refines it in parallel across multiple tokens simultaneously, reaching 1,000+ tokens per second on NVIDIA H100s—five times faster than speed-optimized autoregressive models. Mercury 2, launched February 2026, adds full reasoning capabilities while maintaining sub-two-second latency. On Copilot Arena, Mercury Coder Mini ties for second place, outperforming GPT-4o Mini and Gemini Flash. Ideal for teams with high-throughput coding needs, CI pipelines, or latency-sensitive IDE integrations where response speed directly affects developer flow.