NOUMENOpen app

Moonshot · Open weights

Kimi K2.5

Added Jan 26, 2026Open weights

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Use in the app

Kimi K2.5 is Moonshot AI's native multimodal model built on Kimi K2 with ~15T mixed visual and text tokens, delivering strong general reasoning, visual coding, and agentic tool-calling. This route uses instant (non-thinking) mode for faster responses.

  • Tools
  • Vision
Input
Text, Images
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.38
Output
$2.00
Cache read
$0.07

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
437 tokens
Longer than 44% of 473 models

Side by side

Compare models

Put Kimi K2.5 next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Public evaluations

Benchmarks

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

Intelligence Index

23.5

Better than 57% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    46.8

    Composite of the coding evaluations

    Better than 44% of 168 scored models

Agentic work

  • GDPval-AAv2.1

    839 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 27% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    78.0%

    Reasoning across long documents

    Better than 65% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    30.7%

    Expert-level questions across academic fields

    Better than 64% of 323 scored models

  • GPQA Diamond

    87.9%

    Graduate-level science questions

    Better than 71% of 291 scored models

  • IFBench

    70.2%

    Following precise output instructions

    Better than 72% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    34.8%

    Earlier terminal task suite

    Better than 66% of 212 scored models

  • τ²-Bench Telecom

    95.9%

    Tool use in a customer-support simulation

    Better than 90% of 214 scored models

  • AA-LCR (unversioned)

    78.0%

    Long-context reasoning, earlier grading

    Better than 65% 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
89.5 tok/s
Faster than 58% of 256 models
Time to first token
1.2 s
Quicker than 92% of 256 models
Prompt cache hits
58.7%
About $0.20 per 1M input tokens with caching
Request success (24h)
99.9%
Reliable

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 96.2%
  • 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-k2.5",
    "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-k2.5",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

Other Moonshot models, starting with the same family.