Inception: Mercury Coder
Analysis Summary
Inception Mercury Coder is a text model positioned for coding, with a 128K context window, tool use, and function calling. The supplied data does not include benchmark results for coding, reasoning, instruction following, or agentic performance, so its capabilities cannot be assumed from its product name. Its listed pricing is relatively low, and its context capacity is useful for supplying larger task inputs.
For businesses, it is a candidate to test in bounded coding workflows where changes are reviewed and failures are recoverable. Tool support can enable integration with a development process, but there is no evidence here that it executes multistep tasks reliably. Validate code correctness, editing behavior, and actual token costs on representative work before deployment. It should not be selected for unsupervised engineering or client-critical automation without that testing.
Assessed September 23, 2026
Editorial notes
Inception Mercury Coder lists a 128K context window, tool and function calling, and low prices, but no benchmark data is available to verify coding capability or reliability.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Inception Mercury Coder lists a 128K context window, tool and function calling, and low prices, but no benchmark data is available to verify coding capability or reliability.
How Inception: Mercury Coder 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 Coder 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 706 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Inception: Mercury Coder for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Inception: Mercury Coder
Mercury Coder 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 Claude 3.5 Haiku..
Frequently asked questions about Inception: Mercury Coder
How much does Inception: Mercury Coder cost?
Inception: Mercury Coder costs $0.25 per million input tokens and $0.75 per million output tokens.
What is the context window of Inception: Mercury Coder?
Inception: Mercury Coder has a context window of 128,000 tokens (128K).
What can Inception: Mercury Coder do?
Inception: Mercury Coder supports tool use and function calling.
Who created Inception: Mercury Coder?
Inception: Mercury Coder is developed by Inception and was released on April 30, 2025.