Inception: Mercury 2
Analysis Summary
Inception's Mercury 2 is a text model with a 128K context window and support for tools and function calling. Its measured coding result is stronger than its reasoning and agentic results, while its listed input and output rates of $0.25 and $0.75 keep experimentation inexpensive. This is a targeted capability profile rather than an all-purpose high-reliability one.
Businesses could evaluate it for bounded coding assistance or structured text tasks where a person reviews the result. The low agentic result is a reason not to depend on it for complex tool-driven execution. No vision or multimodal input is listed, which narrows its role compared with models that handle files or images. Mercury 2 is worth testing as a cost-conscious specialist, but production use should be limited to tasks validated against real examples.
Assessed September 23, 2026
Editorial notes
Mercury 2 offers a 128K context window, function calling, and low listed pricing, with measured coding capability above its reasoning and agentic results. It is better suited to bounded tasks than autonomous workflows.
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DFO Verdict
Mercury 2 offers a 128K context window, function calling, and low listed pricing, with measured coding capability above its reasoning and agentic results. It is better suited to bounded tasks than autonomous workflows.
Benchmarks
Artificial Analysis data refreshed Oct 14, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
How Inception: Mercury 2 compares
Inception: Mercury 2 ranks #175 of 437 AI models we track for overall intelligence, #99 of 198 for coding, #139 of 181 for agentic tasks. 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 2 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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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 #99 of 198 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.