How many AI models does Reka serve?
2 tracked models as of 11 August 2026: 2 language models (2 with a public ModelCap Index position), across 2 live endpoints observed through OpenRouter.
Inference provider
Every tracked model Reka serves through OpenRouter, with Reka'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
Reka serves 2 tracked models through 2 endpoints as of 11 August 2026; the highest-ranked is Reka Edge (ModelCap Index #156).
Ranked models first, in ModelCap Index order. Prices are the lowest Reka lists for the model; the endpoint count shows how many deployments carry it.
2 tracked models as of 11 August 2026: 2 language models (2 with a public ModelCap Index position), across 2 live endpoints observed through OpenRouter.
Reka Edge from Reka is the highest-ranked language model Reka serves, at ModelCap Index position #156 and $0.10 per 1M output tokens on Reka. The table lists every model in Index order.
Reka Edge at $0.10 per 1M output tokens ($0.10 per 1M input), the lowest positive language-token price Reka lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.
Reka Flash 3, served with a 66K-token context window on Reka. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.
OpenRouter reports no uptime measurement for Reka endpoints in the current snapshot.
From the OpenRouter catalogue entry for each Reka endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where Reka 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.