How many AI models does DekaLLM serve?
11 tracked models as of 27 October 2026: 11 language models (10 with a public ModelCap Index position), across 11 live endpoints observed through OpenRouter.
Inference provider
DekaLLM: AI models and API pricing
Every tracked model DekaLLM serves through OpenRouter, with DekaLLM'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 27 October 2026
DekaLLM serves 11 tracked models through 11 endpoints as of 27 October 2026; the highest-ranked is GLM 5.3 (ModelCap Index #20); mean measured uptime is 99.00%.
Models served
11
On the ModelCap Index
10
Cheapest output price
$0.03/1M
Language models on DekaLLM (11)
Ranked models first, in ModelCap Index order. Prices are the lowest DekaLLM lists for the model; the endpoint count shows how many deployments carry it.
DekaLLM on ModelCap: common questions
What is the best model available on DekaLLM?
GLM 5.3 from Z.ai is the highest-ranked language model DekaLLM serves, at ModelCap Index position #20 and $2.95 per 1M output tokens on DekaLLM. The table lists every model in Index order.
What is the cheapest model on DekaLLM?
Mistral Nemo at $0.03 per 1M output tokens ($0.018 per 1M input), the lowest positive language-token price DekaLLM lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.
Which DekaLLM model has the largest context window?
GLM 5.3, served with a 1M-token context window on DekaLLM. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.
How reliable is DekaLLM?
Mean measured uptime across DekaLLM endpoints is 99.00% 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 DekaLLM prices come from?
From the OpenRouter catalogue entry for each DekaLLM endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where DekaLLM 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?
This page uses the published ModelCap snapshot dated 27 October 2026. Publication and page updates happen separately. Offers retained from a failed refresh are marked stale in the data and are not counted here.
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