Kimi K3.1 Pro

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Data updated on November 14, 2026· 230 models

MoonshotK3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.

Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
944 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
$10.00
Cache read, $ per 1M
$0.200
Batch (input / output)
$0.700 / $6.00
Tool calling
Yes
Released
10/23/2026
Knowledge cutoff
—
API id
moonshotai/kimi-k3.1-pro

Summary from the data

Kimi K3.1 Pro is a Moonshot model available by API since 10/23/2026. It costs $2.00 per million input tokens and $10.00 per million output tokens, accepts 1 M tokens of context and generates up to 944 K tokens per response. Input: text, image, video; output: text. It has a reasoning mode. It supports tool calling. With 10,000 requests a month of 1,500 input and 400 output tokens it would cost about $70.00 a month.

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Kimi K3.1 Pro
$70.00/mo

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Frequently asked questions

How much does Kimi K3.1 Pro cost per million tokens?

Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens (USD, list price). Cache read: $0.200. Batch tier: $0.700 / $6.00.

What context window does Kimi K3.1 Pro have?

Kimi K3.1 Pro accepts 1 M tokens of context per request and generates up to 944 K tokens per response.

Does Kimi K3.1 Pro accept images, audio or files?

Input: text, image, video. Output: text.

Does Kimi K3.1 Pro have a reasoning mode and tool calling?

It has a reasoning mode. It supports tool calling.

When was Kimi K3.1 Pro released and what is its knowledge cutoff?

Kimi K3.1 Pro has been available by API since 10/23/2026. Knowledge cutoff: not published.

What would an app built on Kimi K3.1 Pro cost?

With 10,000 requests a month of 1,500 input and 400 output tokens, Kimi K3.1 Pro would cost about $70.00 a month at list price, without cache or batch discounts.

What is the API id of Kimi K3.1 Pro?

The id is moonshotai/kimi-k3.1-pro. It is the name passed in the model parameter of the API (or on OpenRouter).

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.