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Inception Mercury

Diffusion LLM API built for very fast, low-latency text generation

Inception Mercury is a developer tools tool for Developers and Enterprise, offered as freemium. Popular alternatives include Cursor, Exa, RunInfra.

About Inception Mercury

Inception Mercury is the API platform for Mercury, a family of diffusion large language models (dLLMs) from Inception, a startup led by Stanford professor and CEO Stefano Ermon that raised a $50 million seed round led by Menlo Ventures in November 2025. Diffusion models refine whole blocks of text in parallel instead of writing one token at a time, which Inception sells as fast, low-latency generation.

The flagship Mercury 3, released October 19, 2026, has a 1M-token context window, adjustable reasoning effort and tool calling, and Inception measured it at 1,068 tokens per second on NVIDIA GPUs. Mercury Voice (enterprise only) targets voice agents with time-to-first-token under 170 ms, and Mercury Decide returns calibrated probabilities for classification. The API is OpenAI-compatible and also served through OpenRouter, Baseten and Vercel. New keys get 100 million free tokens; Mercury 3 then lists at $0.20 per million input and $0.70 per million output tokens, cut 50% at launch, and Enterprise adds custom limits and SLAs.

It fits latency-sensitive coding, voice and web agents. DeepSeek is a cheap autoregressive option with open weights, while Claude and Gemini offer wider multimodal model ranges. Inception says Mercury 3 outperforms Claude Haiku 5.5, but it has not published the benchmark scores, and Mercury 2 and 2.5 are already closed to new users.

Inception launched Mercury 3 on Product Hunt on October 22, 2026 and finished #11 of the day. Buying tip: test your prompts with the free tokens and budget at list price, since the launch discount has no stated end date.

Key features of Inception Mercury

  • Mercury 3 diffusion LLM with a 1M-token context window
  • Measured 1,068 tokens per second output on NVIDIA GPUs
  • Adjustable reasoning effort to trade speed against thoroughness
  • Tool calling with parallel and chained calls for agents
  • Mercury Voice with under 170 ms time-to-first-token for voice agents
  • Mercury Decide classification model with calibrated probabilities
  • OpenAI-compatible API plus Python and TypeScript SDKs
  • Also available through OpenRouter, Baseten and Vercel

Pros and cons

Pros

  • Very high output speed suits real-time and agent loops
  • Low list price of $0.20 input and $0.70 output per million tokens
  • 100 million free tokens with no card to start
  • Drop-in for OpenAI SDK, LiteLLM and LangChain stacks
  • Cached input billed 90% below standard input

Cons

  • Quality claims against rivals come without published benchmark scores
  • Text-focused lineup with no image or video generation
  • Launch discount has no stated end date, so costs may double
  • Fast model turnover: Mercury 2 and 2.5 already closed to new users
  • Mercury Voice is open only to enterprise customers through sales

Inception Mercury pricing

Inception Mercury uses a freemium model.

PlanPriceIncludes
Free$0100M free tokens for new API keys, all models, no card
Mercury 3$0.20 in / $0.70 out / 1M tokensLaunch price 50% off: $0.10 in, $0.35 out; cached input $0.02
Mercury Voice$0.40 in / $1.50 out / 1M tokensLaunch price 50% off: $0.20 in, $0.75 out; enterprise access via sales
Mercury Decide$0.04 in / 1M tokensLaunch price 50% off: $0.02 in; output tokens free
EnterpriseCustomCustom rate limits, SLA, volume pricing, dedicated capacity

Source: www.inceptionlabs.ai · checked on Oct 25, 2026

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How Inception Mercury compares in Developer tools

Rank by votes
#2 / 57

0 votes from members

Starting price
$0

Category median is $19/mo

Free alternatives
12

Free or open-source tools in Developer tools

Inception Mercury ranks #2 of 57 developer tools tools by community votes and is not directly comparable on price.

Common use cases

  1. 1Powering code completion and coding agents where latency matters
  2. 2Running voice agents that must answer within a fraction of a second
  3. 3Web and browser agents that make many sequential model calls
  4. 4High-volume classification and routing with Mercury Decide
  5. 5Swapping a slower model in an existing OpenAI-based app

Best for

Developers building latency-sensitive agents, voice bots or coding tools who want a fast, cheap text model behind an OpenAI-compatible API.

Not ideal for

Teams that need multimodal models, open weights or the widest ecosystem of hosted tools (Gemini, DeepSeek, Claude).

Integrations

  • OpenAI SDK
  • OpenRouter
  • Baseten
  • Vercel
  • LiteLLM
  • LangChain
  • AISuite
  • Kilo Code

Our take

Inception Mercury is worth testing whenever response speed is the bottleneck, and the free token allowance makes that cheap to do. Benchmark it on your own tasks before committing, because the published comparisons are claims rather than scores.

FAQ

What is Inception Mercury?
Inception Mercury is a Developer tools tool: Diffusion LLM API built for very fast, low-latency text generation.
How much does Inception Mercury cost?
Inception Mercury uses a Freemium model; see the vendor's pricing page for current plans.
What are the best alternatives to Inception Mercury?
Community-listed alternatives to Inception Mercury include Cursor, Exa, RunInfra, Auth0.
What does Inception Mercury integrate with?
Inception Mercury integrates with OpenAI SDK, OpenRouter, Baseten, Vercel, LiteLLM, LangChain and more.
Which platforms does Inception Mercury support?
Inception Mercury is available on web.
Who is Inception Mercury for?
Developers building latency-sensitive agents, voice bots or coding tools who want a fast, cheap text model behind an OpenAI-compatible API.

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