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NanoGPT

Kimi K2 Instruct API

NanoGPT
About

Process massive datasets with Kimi K2 Instruct, featuring an expansive 256K context window for long-document analysis. This model delivers cost-effective pricing at $0.40/1M input and $1.80/1M output tokens, native tool calling support, open weights architecture. Access Kimi K2 Instruct via the NanoGPT API with up to 8K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text
Reasoning
No
Structured Output
Yes
Tool Use
Yes
WeightsOpen
Temperature
Adjustable
Attachment
Not Supported
Limits
Context Window
256K

Tokens

Input Limit
256K

Tokens

Max Output
8K

Tokens

Pricing

Standard (per 1M tokens)

Input
$0.40
Output
$1.80

Caching (per 1M tokens)

Read
$0.20
Frequently Asked Questions

Kimi K2 Instruct by NanoGPT costs $0.40 per 1M input tokens and $1.80 per 1M output tokens. Cached reads cost $0.20 per 1M tokens.

Model Details
ID
moonshotai/kimi-k2-instruct
Provider
NanoGPT
Family
kimi-k2
Release Date
Jan 1, 2024
Knowledge Cutoff
Oct 1, 2024
API Integration
NPM Package
@ai-sdk/openai-compatible
Environment Variables
NANO_GPT_API_KEY
API Base URL
https://nano-gpt.com/api/v1
Documentation