Inception: Mercury
Analysis Summary
Inception Mercury is a text model with a 128K context window, tool use, and function calling. Its listed pricing is $0.25 per million input tokens and $0.75 per million output tokens. No benchmark results are provided, so its reasoning, coding, instruction following, and writing quality cannot be compared reliably with tested models.
The available product details make it a possible candidate for basic API workflows where tool access and a substantial context window matter. They do not establish dependable performance for client-facing content, software engineering, or autonomous multi-step work. Teams should test it against their own prompts and require human review before using its output in production.
Consider a limited pilot rather than making Mercury a default model. The pricing and context may suit moderate workloads, but the absence of benchmark evidence makes capability validation essential.
Assessed September 23, 2026
Editorial notes
Mercury offers a 128K context window, tool use, and function calling at moderate listed prices; the supplied data includes no benchmark results to establish its capability.
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DFO Verdict
Mercury offers a 128K context window, tool use, and function calling at moderate listed prices; the supplied data includes no benchmark results to establish its capability.
How Inception: Mercury compares
Its 128K-token context window is larger than 37% of the models we list. At $0.25 per million input tokens it is cheaper than 48% 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.
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?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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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.