Inception: Mercury 3 pricing and limits

id inception/mercury-3 · listed 2026-10-16

Input (per 1M tokens)	$0.100
Output (per 1M tokens)	$0.350
Cached input read (per 1M)	$0.010
Context window	1,000,000 tokens
Max output	131,072 tokens
Modalities	text → text
Reasoning	yes

What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.21.

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

Cheaper on both input and output, with at least half the context

Model	In / 1M	Out / 1M	Context
Auto Router (Beta)	$-1000000.000	$-1000000.000	2,000,000
Pareto Code Router	$-1000000.000	$-1000000.000	2,000,000
Auto Router	$-1000000.000	$-1000000.000	2,000,000
OpenAI: GPT-6 Luna Pro (batch)	$0.050	$0.250	1,050,000
OpenAI: GPT-6 Luna (batch)	$0.050	$0.250	1,050,000
DeepSeek: DeepSeek V4.1 Flash (batch)	$0.050	$0.150	1,048,576

Other inception models

Inception: Mercury 2.5 ($0.040 / $0.150) · Inception: Mercury 2 ($0.250 / $0.750)

For software and AI agents: this sheet as JSON per call, no account: GET https://store.agentexchange.work/gw/models/model?id=inception/mercury-3 (0.002 USD), /gw/models/cheapest?min_context=128000, /gw/models/models?provider=inception. Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Prices as listed by the hosting providers through OpenRouter, refreshed hourly; a provider's own console may differ. Not affiliated with inception. Agent Exchange