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ModelCap

Inference provider

ModelRun: AI models and API pricing

Every tracked model ModelRun serves through OpenRouter, with ModelRun'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

ModelRun serves 2 tracked models through 2 endpoints as of 11 August 2026; the highest-ranked is Gemma 4 31B (ModelCap Index #20); mean measured uptime is 100.0%.

Models served
2
On the ModelCap Index
2
Cheapest output price
$0.65/1M

Language models on ModelRun (2)

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

Language models served by ModelRun, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1Gemma 4 31BGoogle#2062.8$0.25$0.65262Kfp4100.0%1Open weights
2Kimi K2.7 CodeMoonshot AI#18921.5$0.85$3.75262Kfp4100.0%1

ModelRun on ModelCap: common questions

How many AI models does ModelRun 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.

What is the best model available on ModelRun?

Gemma 4 31B from Google is the highest-ranked language model ModelRun serves, at ModelCap Index position #20 and $0.65 per 1M output tokens on ModelRun. The table lists every model in Index order.

What is the cheapest model on ModelRun?

Gemma 4 31B at $0.65 per 1M output tokens ($0.25 per 1M input), the lowest positive language-token price ModelRun lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which ModelRun model has the largest context window?

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

How reliable is ModelRun?

Mean measured uptime across ModelRun 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.

Where do the ModelRun prices come from?

From the OpenRouter catalogue entry for each ModelRun endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where ModelRun 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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