One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.25 = $0.25
- Output0.1M x $0.75 = $0.075
$0.325per session
Inception - Closed weights
Mercury 2 pricing and specs
Mercury 2 is a closed-weights model from Inception that costs $0.25 per 1M input tokens and $0.75 per 1M output tokens on the first-party API, with a 128K-token context window.
Last verified from docs.inceptionlabs.ai. All sources
- Input / 1M
- $0.25
- Output / 1M
- $0.75
- Context
- 128K tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $0.25 |
| Output | $0.75 |
| Cache read | $0.025 |
Note: Previous-generation reasoning dLLM, still listed and priced on the docs Models page. The marketing models page says 'Mercury 1, 2, and Mercury Edit 2 remain supported for existing customers', so new self-serve availability is unclear. Release date is the date on Inception's own blog index for the 'Introducing Mercury 2' post (the post body does not print a date). Context 128K on docs, 128000 in the API model object; max output 50,000. No separate cache-write or batch price is published. Gateway id confirmed in the Vercel AI Gateway models API.
Specs
- Context window
- 128,000 tokens
- Max output
- 50,000 tokens
- Release date
- Provider
- Inception
- API model id
mercury-2- Vercel AI Gateway id
inception/mercury-2- Weights
- Closed weights
What Mercury 2 costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $0.25 = $5.00
- Output5M x $0.75 = $3.75
$8.75per day
$262.50 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.025 = $0.0225
- Uncached input0.1M x $0.25 = $0.025
- Output0.1M x $0.75 = $0.075
$0.1225per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Mercury 2 (this page) | $0.25 | $0.75 |
| Mercury 2.5Inception | $0.20 | $0.75 |
| Mercury Edit 2Inception | $0.25 | $0.75 |
| MiMo-V2.6-ProXiaomi MiMo | $0.435 | $0.87 |
| Codestral 25.08Mistral AI | $0.30 | $0.90 |
Related reading
- Mercury 2 Developer Guide: Building With a Diffusion LLM in ProductionMercury 2 developer guide: the OpenAI-compatible API, tool use, structured outputs, reasoning levels, and when a diffusion LLM beats an autoregressive one.
- Mercury 2: The LLM That Doesn't Generate Like an LLMMercury 2 from Inception Labs is a diffusion reasoning LLM that refines outputs in parallel at over 1,000 tokens per second. How it works and where it fits.
- Diffusion Language Models: How Mercury Changed the LLM Speed GameDiffusion language models like Inception Labs' Mercury draft a whole response and refine it instead of going token by token. See why that makes them so fast.
FAQ
How much does Mercury 2 cost per million tokens?
Mercury 2 costs $0.25 per 1M input tokens and $0.75 per 1M output tokens on Inception's first-party API, per docs.inceptionlabs.ai on October 17, 2026. Per 1M tokens, cache reads cost $0.025.
What is Mercury 2's context window?
Mercury 2 has a 128,000-token context window and returns up to 50,000 output tokens per response.
Are Mercury 2's weights open?
No. Mercury 2 is a closed-weights model. You call it through Inception's API as mercury-2 or through Vercel AI Gateway as inception/mercury-2.
When was Mercury 2 released?
Inception released Mercury 2 on February 24, 2026.
Sources
Last verified from docs.inceptionlabs.ai.
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