When was Kimi K3.1 Pro released?

Moonshot released Kimi K3.1 Pro on 23 Oct 2026. It is available through the Opper gateway.

Does Kimi K3.1 Pro support zero data retention?

No. The routes serving Kimi K3.1 Pro retain content; see the per-route data-handling section for each route's logging stance and retention window.

Where is Kimi K3.1 Pro hosted?

See the per-route table for Kimi K3.1 Pro hosting locations and residency details.

Is Kimi K3.1 Pro trained on prompts and outputs?

Training behaviour varies by route. See the per-route data-handling section for each provider's training posture.

Kimi K3.1 Pro

by Moonshot

Released 99 days after Kimi K3 · All Moonshot releases

Kimi K3.1 Pro is Moonshot AI’s successor to Kimi K3. It accepts text, images and video in a 1,048,576-token context window and produces text. Moonshot positions it for coding, agent workflows, visual work and complex analysis. The API supports tool calls, strict JSON schema output and reasoning effort levels low, high and max. The model is available on Moonshot’s API; Moonshot says the weights are planned for release by November 4, 2026.

Call Kimi K3.1 Pro on Opper with the OpenAI SDK. Sign up without a credit card. Get started

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Key info

Input

Output

Features

Context window

Max output

—

Input price

$2.00 /1M$0.20 cache read · $2.00 write

Output price

$10.00 /1M

Released

23 Oct 2026

Web search

Via Opper

Available routes

Kimi K3.1 Pro runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Moonshot AI	Multi		Yes	$2.00	$10.00	$0.20$2.00 write

Live routes and prices as JSON: api.opper.ai/v3/models?q=moonshot%2Fkimi-k3.1-pro

Uptime and availability

Kimi K3.1 Pro runs on a single route through the Opper gateway today, so its availability is that provider's availability.

99.99%route uptime, last 30 days

Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Kimi K3.1 Pro has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Moonshot AI — Multi-region

Content is retained: used for training by default. Trained on customer data by default. GLOBAL; unknown.

Zero data retention: Retained: used for training by default.
Training: Trained on customer data by default.
Logging: Abuse monitoring
Abuse monitoring: On by default, holds flagged content
Caching: Content cached for replay
GDPR DPA: No DPA
Transfer mechanism: unknown

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#5 of 698 LLMs

TierFrontier

Output speed60 tok/s

First token1.92s

Intelligence Index55.1

Reasoning & knowledge

Humanity's Last Exam

53%

Long-context reasoning

86%

Coding

SciCode

61%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call Kimi K3.1 Pro through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Kimi K3.1 Pro is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "moonshot/kimi-k3.1-pro",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);