Inception: Mercury 2
Analysis Summary
Mercury 2 is a compact model from Inception focused on coding tasks, with tool use and function calling built in. Its coding capability is reasonably strong for its size, though general reasoning and agentic reliability are limited.
This makes it a fit for lightweight code generation, scripting, and simple automation tasks rather than complex multi-step agents or nuanced content work. It is not suited to tasks requiring deep reasoning or long document analysis.
At under a dollar per million tokens for output, it is priced for high-throughput, low-complexity workloads. Consider it for background coding tasks where cost matters more than depth.
Assessed July 25, 2026
Editorial notes
Mercury 2 from Inception is a lightweight coder with tool use and function calling, priced for high-volume tasks but limited on broader reasoning.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mercury 2 from Inception is a lightweight coder with tool use and function calling, priced for high-volume tasks but limited on broader reasoning.
How Inception: Mercury 2 compares
Inception: Mercury 2 ranks #141 of 401 AI models we track for overall intelligence, #88 of 176 for coding, #96 of 157 for agentic tasks. Its 128K-token context window is larger than 38% of the models we list. At $0.25 per million input tokens it is cheaper than 52% 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 2 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Inception: Mercury 2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Inception: Mercury 2
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving..
Frequently asked questions about Inception: Mercury 2
How much does Inception: Mercury 2 cost?
Inception: Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens.
What is the context window of Inception: Mercury 2?
Inception: Mercury 2 has a context window of 128,000 tokens (128K).
Is Inception: Mercury 2 good for coding?
On our coding benchmark index, Inception: Mercury 2 ranks #88 of 176 models, placing it in the broader range of the field for code generation and debugging.
What can Inception: Mercury 2 do?
Inception: Mercury 2 supports tool use and function calling.
Who created Inception: Mercury 2?
Inception: Mercury 2 is developed by Inception and was released on March 4, 2026.
