# Mercury 3

Inception, released 2026-10-19

**Verdict: conditional.** Mercury 3 is Inception's diffusion LLM with a 1M-token context at a list price of $0.20 input and $0.70 output per 1M tokens, and speed is the reason to pick it. The deciding caveat is that its quality claims come from Inception and its partners, and the headline comparisons name no benchmark. Suits voice, chat, search and browser agents where latency sets the experience, not hard reasoning. Last verified 2026-10-20.

## Pricing

- Input: $0.20 / 1M tokens
- Output: $0.70 / 1M tokens
- Context: 1M ctx; list rate shown; 50% off at launch ($0.10 / $0.35), no end date stated, so plan on the list rate

## Strengths

- Latency-bound apps: Inception reports 1,068 tokens per second on NVIDIA GPUs, and says Mercury 3 targets voice and chat support, real-time tutoring and search
- Browser and web agents: TinyFish AI, an Inception partner, reports Mercury 3 completed 50% of 50 live Mind2Web navigation tasks, more than GPT-6.1-Sol (partner claim)
- Long inputs and outputs on a budget: 1M context, up to 131,072 output tokens, tool calling and structured outputs, OpenAI API compatible
- Claims you need verified: 'outperforms GPT-6 Luna and Claude Haiku 5.5' is stated with no benchmark name, and the pages we read show no independent run

## Benchmarks

- Mind2Web live navigation (TinyFish AI partner run, 50 tasks): 50% completed (https://www.inceptionlabs.ai/blog/introducing-mercury-3)
- Inception reported output speed (tokens/s, NVIDIA GPUs): 1,068 (https://www.inceptionlabs.ai/blog/introducing-mercury-3)

## Sources

- [Inception: Introducing Mercury 3](https://www.inceptionlabs.ai/blog/introducing-mercury-3)
- [Inception: models](https://docs.inceptionlabs.ai/get-started/models)

Canonical: https://neomanex.com/models/mercury-3
