Guide

Kimi K2.5 API: Moonshot's Agentic AI Model (256K Context)

April 16, 2026 · 4 min read

Kimi K2.5 from Moonshot AI is designed for agentic tasks — multi-step reasoning, tool use, and complex workflows. With a 256K context window and competitive pricing, it's a strong choice for AI agent builders.

Kimi K2.5 Specs

FeatureValue
Context Window256K tokens
Input Price$0.24/M tokens
Output Price$1.20/M tokens
Best ForAgentic tasks, multi-step reasoning
ProviderMoonshot AI (China)

Quick Start

from openai import OpenAI
client = OpenAI(base_url="https://api.aipower.me/v1", api_key="YOUR_KEY")

response = client.chat.completions.create(
    model="moonshot/kimi-k2.5",
    messages=[
        {"role": "system", "content": "You are an AI agent. Break tasks into steps."},
        {"role": "user", "content": "Research and summarize the latest AI news"},
    ],
)
print(response.choices[0].message.content)

Kimi vs Other Agentic Models

ModelContextPrice (in/out)Agentic Score
Kimi K2.5256K$0.24/$1.20Strong
Claude Opus200K$7.50/$37.50Best
GPT-5272K$3.75/$22.50Strong

Kimi K2.5 offers 80-97% cost savings vs Claude Opus/GPT-5 for agentic workflows.

Try it with 10 free API calls at aipower.me.

GET STARTED WITH AIPOWER

16 AI models. One API. OpenAI SDK compatible.

Who should use AIPower?

  • • Developers needing both Chinese and Western AI models
  • • Chinese teams that can't access OpenAI / Anthropic directly
  • • Startups wanting multi-model redundancy through one API
  • • Anyone tired of paying grey-market intermediary premiums

3 steps to first API call

  1. Sign up — email only, 10 free trial calls, no card
  2. Copy your API key from the dashboard
  3. Change base_url in your OpenAI SDK → done
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aipower.me/v1",  # ← only change
    api_key="sk-your-aipower-key",
)

response = client.chat.completions.create(
    model="auto-cheap",   # or anthropic/claude-opus, deepseek/deepseek-chat, openai/gpt-5, etc.
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

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