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Moonshot AI · language model

Kimi K3.1 Pro: pricing, context and benchmarks

Kimi K3.1 Pro is Moonshot AI's model released on October 23, 2026. It costs $2 per million input tokens and $10 per million output tokens, with a 1M-token context window. No independent score has been published for it so far.

Score
50/100
Price 5/30
Context 14/15
Features 11/15
High costReasoningTool calling

What you need to know about Kimi K3.1 Pro

Moonshot AI, based in China, put Kimi K3.1 Pro online on October 23, 2026. It accepts text, images, and video as input and produces text. Its context window reaches 1,048,576 tokens, larger than 93 % of the models in the registry, and it can write up to 943,718 tokens in one go.

It is a recent model: real-world feedback and independent scores are still scarce.

Kimi K3.1 Pro pricing

On OpenRouter, Kimi K3.1 Pro costs $2 per million input tokens and $10 per million output tokens. Counting three tokens read for every token written, its average price is $4 per million, more expensive than 84 % of paid models (5.2 times the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.009. At 1,000 tasks a day, budget $270 a month. The price calculator redoes this with your own volumes.

Tokens already sent and cached are billed at $0.2 per million.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Kimi K3.1 Pro. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

  • It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
  • It can answer in an enforced JSON format (structured outputs).
  • It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.

Its weights are not published: it can only be used through the Moonshot AI API or a broker such as OpenRouter, which means sending your data off your machines.

Other Moonshot AI models

Average price per million tokens (3 input for 1 output).
ModelReleasedAvg. priceECI
Kimi K3Jul 16, 2026$2.88157.9
Kimi K2.7 CodeJun 12, 2026$1.28150.1
Kimi K2.6Apr 20, 2026$1.34150.9
Kimi K2.5Jan 27, 2026$1148.1
Kimi K2 ThinkingNov 6, 2025$1.08145.8
Kimi K2 0905Sep 4, 2025$1.08—
Kimi K2 0711Jul 11, 2025$1—

Verdict

Computed score: 50/100, from public data (performance, price, context, features).

Strengths

  • Very large context (1M tokens): long documents or a whole codebase fit in one request.
  • Agent-ready: tool calling and structured JSON output.

Limitations

  • Expensive: costlier than 84 % of paid models.
  • No independent score published: performance cannot be verified.

Avoid if…

  • you process large volumes on a tight budget;
  • your data must not leave your servers;
  • your tasks are mostly simple: a non-reasoning model will cost less.

Frequently asked questions

How much does Kimi K3.1 Pro cost?

$2 per million input tokens and $10 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.009.

How big is Kimi K3.1 Pro's context window?

1,048,576 tokens, roughly 786,000 words, with a maximum of 943,718 output tokens.

Can Kimi K3.1 Pro run locally?

No, Moonshot AI does not publish its weights: it is API-only.

Is Kimi K3.1 Pro suitable for an AI agent?

Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.

What are the alternatives to Kimi K3.1 Pro?

The closest models on price and performance are Gemini 4 Argon, GPT-6.1 Sol, and GPT-6 Sol.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score