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ModelCap

Inference provider

OpenInference: AI models and API pricing

Every tracked model OpenInference serves through OpenRouter, with OpenInference'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

OpenInference serves 1 tracked model through 1 endpoint as of 11 August 2026; the highest-ranked is Gemma 4 31B (ModelCap Index #20); mean measured uptime is 96.72%.

Models served
1
On the ModelCap Index
1
Cheapest output price
$0.35/1M

Language models on OpenInference (1)

Ranked models first, in ModelCap Index order. Prices are the lowest OpenInference lists for the model; the endpoint count shows how many deployments carry it.

Language models served by OpenInference, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1Gemma 4 31BGoogle#2062.8$0.08$0.35262Kbf1696.72%1Open weights

OpenInference on ModelCap: common questions

How many AI models does OpenInference 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.

What is the best model available on OpenInference?

Gemma 4 31B from Google is the highest-ranked language model OpenInference serves, at ModelCap Index position #20 and $0.35 per 1M output tokens on OpenInference. The table lists every model in Index order.

What is the cheapest model on OpenInference?

Gemma 4 31B at $0.35 per 1M output tokens ($0.08 per 1M input), the lowest positive language-token price OpenInference lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which OpenInference model has the largest context window?

Gemma 4 31B, served with a 262K-token context window on OpenInference. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.

How reliable is OpenInference?

Mean measured uptime across OpenInference endpoints is 96.72% 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.

Where do the OpenInference prices come from?

From the OpenRouter catalogue entry for each OpenInference endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where OpenInference exposes several deployments of one model at different prices, the table shows the lowest and notes the count; the model page lists each deployment.

How current is this page?

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.

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