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inception

Inception: Mercury 2 API Pricing

Inception: Mercury 2 costs $0.250 per 1M input tokens and $0.750 per 1M output tokens (cache reads: $0.025). Context window: 128K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
10.8
Intelligence index · top 75% of 288 scored
31.1
Coding index
1.6
Agentic index
$0.375
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.250
Output / 1M tokens
$0.750
Context window
128K
Max output
50K

Token economics

Token typePricevs base input
Standard input$0.250—
Cache read$0.025−90%
Output$0.750—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: On by default (toggleable)
Effort levels:highmediumlownone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Inception: Mercury 2 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$5.00
Coding agent5,0008,000 / 2,000$17.50
RAG pipeline30,0004,000 / 500$41.25
Doc summarizer2,00020,000 / 1,000$11.50

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About 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...

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Frequently asked questions

How much does Inception: Mercury 2 cost?

Inception: Mercury 2 costs $0.250 per 1M input tokens and $0.750 per 1M output tokens; cached input tokens cost $0.025 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 50K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.025/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 93% on a typical workload with comparable quality.

Official resources