Inception: Mercury
Analysis Summary
Inception Mercury is a text model with a 128K context window, tool use, and function calling. The supplied record includes no benchmark results, leaving its reasoning, coding, instruction following, and agentic reliability unverified. Its capabilities therefore need practical testing before adoption.
The $0.25 input and $0.75 output pricing creates a useful cost profile for prototypes, routing, structured extraction, and internal assistants. It may also support long-document experiments, but the absence of measured evidence makes it unsuitable as the sole model for client-facing or autonomous workflows. Consider it a promising budget utility only after evaluating accuracy, formatting, and tool-call stability on real agency tasks.
Assessed September 7, 2026
Editorial notes
Inception Mercury offers 128K context, tool use, function calling, and low pricing, but it has no supplied benchmark data, so it should be limited to validated, lower-risk workflows.
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DFO Verdict
Inception Mercury offers 128K context, tool use, function calling, and low pricing, but it has no supplied benchmark data, so it should be limited to validated, lower-risk workflows.
How Inception: Mercury compares
Its 128K-token context window is larger than 34% of the models we list. At $0.25 per million input tokens it is cheaper than 51% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $0.75 | $0.000750 |
What would Inception: Mercury cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 798 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Inception: Mercury for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Inception: Mercury
Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude..
Frequently asked questions about Inception: Mercury
How much does Inception: Mercury cost?
Inception: Mercury costs $0.25 per million input tokens and $0.75 per million output tokens.
What is the context window of Inception: Mercury?
Inception: Mercury has a context window of 128,000 tokens (128K).
What can Inception: Mercury do?
Inception: Mercury supports tool use and function calling.
Who created Inception: Mercury?
Inception: Mercury is developed by Inception and was released on June 26, 2025.