Inception: Mercury 2
Analysis Summary
Mercury 2 is an Inception model with a 128K context window, tool use, and function calling. Its measured intelligence is limited, while the coding result is stronger than its general reasoning profile, making it more useful for narrowly defined technical tasks than open-ended analysis.
The low input and output prices support high-volume classification, templated SEO production, extraction, and simple code assistance. Function calling can help integrate it into controlled workflows, but the weak agentic result means autonomous multi-step tasks should remain tightly supervised. Text-only input also excludes image and document-vision workflows.
Use Mercury 2 as a budget component for predictable workloads with clear validation rules. It should not be the primary model for strategic writing, complex research, or client-facing decisions.
Assessed September 7, 2026
Editorial notes
Mercury 2 pairs low-cost inference with useful coding capability, a 128K context, tool use, and function calling. Its weak reasoning and agentic results make it better for constrained automation than high-stakes client work.
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DFO Verdict
Mercury 2 pairs low-cost inference with useful coding capability, a 128K context, tool use, and function calling. Its weak reasoning and agentic results make it better for constrained automation than high-stakes client work.
How Inception: Mercury 2 compares
Inception: Mercury 2 ranks #191 of 443 AI models we track for overall intelligence, #117 of 210 for coding, #154 of 192 for agentic tasks. 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 intelligence 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 798 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 #117 of 210 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.