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Moonshot · Frontier

Kimi K3.1 Pro

Added Oct 24, 2026

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Use in the app

Kimi K3.1 Pro is a multimodal reasoning model for coding, 3D creation, document analysis and multi-step tool use. It supports a 1M-token context window and text, image and video inputs. Reasoning is always enabled, with low, high and max effort levels.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • Video input
Input
Text, Images, Video
Output
Text
Reasoning effort
low · high · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.00
Output
$10.00
Cache read
$0.20
Cache write
$2.00
$4.00 for a 1-hour cache

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
—
Average output (7 days)
921 tokens
Longer than 69% of 473 models

Side by side

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Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

55.1

Better than 99% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    73.3%

    Workflow automation, penalized for guardrail violations

    Better than 98% of 173 scored models

  • AutomationBench-AA tasks completed

    46.0%

    Workflows finished end to end without a guardrail violation

    Better than 98% of 173 scored models

  • AA-Briefcasev1.1

    1,678 Elo

    Agentic knowledge work, rated head to head

    Better than 97% of 166 scored models

  • GDPval-AAv2.1

    1,846 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 98% of 187 scored models

Document reasoning

  • GDP.pdf

    31.4%

    Professional reasoning over PDF documents, all-pass rate

    Better than 98% of 171 scored models

  • AA-LCRv1.1

    86.3%

    Reasoning across long documents

    Better than 97% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    52.5%

    Expert-level questions across academic fields

    Better than 96% of 323 scored models

Coding

  • Terminal-Benchv4.0

    67.2%

    Practical software engineering in a terminal

    Better than 98% of 171 scored models

  • SciCode

    60.8%

    Scientific computing in Python

    Better than 95% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    86.3%

    Long-context reasoning, earlier grading

    Better than 97% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
114.4 tok/s
Faster than 67% of 259 models
Time to first token
8.6 s
Quicker than 13% of 259 models
Prompt cache hits
96.3%
About $0.27 per 1M input tokens with caching
Request success (24h)
82.8%
Unstable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 49.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k3.1-pro",
    "reasoning_effort": "low",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="moonshotai/kimi-k3.1-pro",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

Other Moonshot models, starting with the same family.