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ModelCap

Inference provider

Decart: AI models and API pricing

Every tracked model Decart serves through OpenRouter, with Decart'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

Decart serves 2 tracked models through 2 endpoints as of 11 August 2026; the highest-ranked is GLM 5.2 (ModelCap Index #13); mean measured uptime is 98.92%.

Models served
2
On the ModelCap Index
1
Cheapest output price
$2.10/1M

Language models on Decart (2)

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

Language models served by Decart, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1GLM 5.2Z.ai#1370.5$0.72$2.101Mfp499.85%1Open weights
2Kimi K2.6Moonshot AI$0.59$3.40262Kfp497.98%1

Decart on ModelCap: common questions

How many AI models does Decart serve?

2 tracked models as of 11 August 2026: 2 language models (1 with a public ModelCap Index position), across 2 live endpoints observed through OpenRouter.

What is the best model available on Decart?

GLM 5.2 from Z.ai is the highest-ranked language model Decart serves, at ModelCap Index position #13 and $2.10 per 1M output tokens on Decart. The table lists every model in Index order.

What is the cheapest model on Decart?

GLM 5.2 at $2.10 per 1M output tokens ($0.72 per 1M input), the lowest positive language-token price Decart lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which Decart model has the largest context window?

GLM 5.2, served with a 1M-token context window on Decart. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.

How reliable is Decart?

Mean measured uptime across Decart endpoints is 98.92% 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 Decart prices come from?

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