How many AI models does Arcee AI 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 Arcee AI serves through OpenRouter, with Arcee AI'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
Arcee AI serves 1 tracked model through 1 endpoint as of 11 August 2026; the highest-ranked is Trinity Large Thinking (ModelCap Index #60); mean measured uptime is 100.0%.
Ranked models first, in ModelCap Index order. Prices are the lowest Arcee AI 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.
Trinity Large Thinking from Arcee AI is the highest-ranked language model Arcee AI serves, at ModelCap Index position #60 and $0.80 per 1M output tokens on Arcee AI. The table lists every model in Index order.
Trinity Large Thinking at $0.80 per 1M output tokens ($0.25 per 1M input), the lowest positive language-token price Arcee AI lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.
Trinity Large Thinking, served with a 262K-token context window on Arcee AI. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.
Mean measured uptime across Arcee AI 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 Arcee AI endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where Arcee AI 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.