Atlas / Models / Moonshotai / MoonshotAI: Kimi K3.1 Pro

MoonshotAI: Kimi K3.1 Pro✓ Catalog verified

moonshotai/kimi-k3.1-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. It is built for long-horizon coding, 3D...

Input price
$2.00 /1M
Output price
$10.00 /1M
Context
1.0M
Modalities
textimagevideo
Released
Oct 23, 2026
Tool calling
✓ Yes
Atlas signal
91/100
01

Overview

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. It is built for long-horizon coding, 3D...

Access: available through the official Moonshotai API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Oct 24, 2026
02

Specifications

API identifiermoonshotai/kimi-k3.1-pro
ProviderMoonshotai
Model typeMultimodal LLM
Context window1.0M catalog
Input modalitiestext · image · video
Output modalitiestext
ReleasedOct 23, 2026
ModeratedNo
Architecture modalitytext+image+video->text
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatstopstructured_outputstool_choicetools
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": 0.95
}
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03

Pricing

Live pricing components for moonshotai/kimi-k3.1-pro as published in the catalog.

$2.00
Input /1M
$10.00
Output /1M
—
Per request
—
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.000002$2.00 / 1MPer input token
Completion tokens$0.00001$10.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$3Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

MoonshotAI: Kimi K3.1 Pro
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
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07

Quick start

Call MoonshotAI: Kimi K3.1 Pro through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k3.1-pro",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does MoonshotAI: Kimi K3.1 Pro cost?

$2.00 per 1M input tokens and $10.00 per 1M output tokens on the official Moonshotai API.

What is the context window of MoonshotAI: Kimi K3.1 Pro?

MoonshotAI: Kimi K3.1 Pro supports up to 1.0M tokens of context.

Does MoonshotAI: Kimi K3.1 Pro support tool / function calling?

Yes, MoonshotAI: Kimi K3.1 Pro supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access MoonshotAI: Kimi K3.1 Pro?

Use the official Moonshotai API with the model id `moonshotai/kimi-k3.1-pro`. See the Quick start section above for code examples.

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