How many AI models does Inception serve?
1 tracked model as of 11 August 2026: 1 language model (1 with a public ModelCap Index position), across 1 live endpoint observed through OpenRouter.
Inference provider
Every tracked model Inception serves through OpenRouter, with Inception's own input and output price per 1M tokens, the context window it serves, disclosed quantization and measured endpoint uptime. Rows link to the model page, where every provider's deployment is listed side by side.
Snapshot as of 11 August 2026
Inception serves 1 tracked model through 1 endpoint as of 11 August 2026; the highest-ranked is Mercury 2 (ModelCap Index #73); mean measured uptime is 100.0%.
Ranked models first, in ModelCap Index order. Prices are the lowest Inception lists for the model; the endpoint count shows how many deployments carry it.
1 tracked model as of 11 August 2026: 1 language model (1 with a public ModelCap Index position), across 1 live endpoint observed through OpenRouter.
Mercury 2 from Inception Labs is the highest-ranked language model Inception serves, at ModelCap Index position #73 and $0.75 per 1M output tokens on Inception. The table lists every model in Index order.
Mercury 2 at $0.75 per 1M output tokens ($0.25 per 1M input), the lowest positive language-token price Inception lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.
Mercury 2, served with a 128K-token context window on Inception. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.
Mean measured uptime across Inception endpoints is 100.0% over the last 30 minutes, as reported by OpenRouter at the time of the snapshot. Per-model uptime is in the table; it is a live operational signal, not a service-level guarantee.
From the OpenRouter catalogue entry for each Inception endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where Inception exposes several deployments of one model at different prices, the table shows the lowest and notes the count; the model page lists each deployment.
It re-renders within a minute of every dataset refresh; this snapshot was published 11 August 2026. Offers retained from a failed refresh are marked stale in the data and are not counted here.