Skip to content
ModelCap

Inference provider

Chutes: AI models and API pricing

Every tracked model Chutes serves through OpenRouter, with Chutes'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

Chutes serves 6 tracked models through 6 endpoints as of 11 August 2026; the highest-ranked is Kimi K3 (ModelCap Index #4); mean measured uptime is 97.84%.

Models served
6
On the ModelCap Index
4
Cheapest output price
$0.37/1M

Language models on Chutes (6)

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

Language models served by Chutes, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1Kimi K3Moonshot AI#478.4$3.00$15.001Mmxfp499.86%1
2Gemma 4 31BGoogle#2062.8$0.12$0.37131Kfp498.90%1Open weights
3Qwen3.5 397B A17BQwen#2261.6$0.45$3.00262Kfp899.18%1Open weights
4Qwen3.6 27BQwen#3251.9$0.30$2.00262Kfp894.62%1Open weights
5GLM 5.1Z.ai$0.98$3.08203Kfp894.48%1Open weights
6Kimi K2.6Moonshot AI$0.58$3.40262Kint4100.0%1

Chutes on ModelCap: common questions

How many AI models does Chutes serve?

6 tracked models as of 11 August 2026: 6 language models (4 with a public ModelCap Index position), across 6 live endpoints observed through OpenRouter.

What is the best model available on Chutes?

Kimi K3 from Moonshot AI is the highest-ranked language model Chutes serves, at ModelCap Index position #4 and $15.00 per 1M output tokens on Chutes. The table lists every model in Index order.

What is the cheapest model on Chutes?

Gemma 4 31B at $0.37 per 1M output tokens ($0.12 per 1M input), the lowest positive language-token price Chutes lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which Chutes model has the largest context window?

Kimi K3, served with a 1M-token context window on Chutes. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.

How reliable is Chutes?

Mean measured uptime across Chutes endpoints is 97.84% 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 Chutes prices come from?

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

Explore further