Moonshot AI

Moonshot AI: Kimi K2 Thinking

stable

Kimi K2 Thinking is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

kimi-k2-thinkingkimi-k2released Nov 6, 2025
ProviderQuick start
Context
262.1K
tokens
Max output
262.1K
tokens
Input
$0.60
per 1M
Output
$2.50
per 1M

Activity

Daily period usage
Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M
Fireworks AI
Fireworks AI
256K$0.60$2.50
Moonshot AI
Moonshot AI
262.1K$0.60$2.50

Pricing

ItemPriceUnit
Input$0.60per 1M tokens
Output$2.50per 1M tokens
Cache read$0.15per 1M tokens

Performance

Reliability

Compare

Compare usage and performance
Place this model beside up to three other catalog models.

Capabilities

Capabilities
Modalities
Input
Output
Details
Model ID
kimi-k2-thinking
Family
kimi-k2
Status
stable
Knowledge
-
Released
Nov 6, 2025
Gateway Config
API
v1
Auth
MOONSHOT_API_KEY
Discovery
static
Provider type
static

Quick Start

index.ts
import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@moonshot/kimi-k2-thinking",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL
https://api.moonshot.ai/v1
Chat completions
https://api.moonshot.ai/v1/chat/completions
Model
kimi-k2-thinking
Auth env
MOONSHOT_API_KEY

Kimi K2 Thinking FAQ

How much does the Kimi K2 Thinking API cost?

Through Moonshot AI, Kimi K2 Thinking costs $0.60 per 1M input tokens and $2.50 per 1M output tokens.

What is the context window of Kimi K2 Thinking?

Kimi K2 Thinking accepts up to 262.1K tokens of context and returns up to 262.1K output tokens on Moonshot AI.

Which providers offer Kimi K2 Thinking?

Kimi K2 Thinking is available from Fireworks AI and Moonshot AI. Everstack can route between them with automatic fallback when one is unavailable.

What can Kimi K2 Thinking do?

Kimi K2 Thinking supports chat, function calling and reasoning. It accepts text input.

How do I call Kimi K2 Thinking through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @moonshot/kimi-k2-thinking. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.