What is the context window of Kimi K2 0711 Instruct FP4 by NanoGPT?

Kimi K2 0711 Instruct FP4 by NanoGPT has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 131K output tokens.

What input and output types does Kimi K2 0711 Instruct FP4 support?

Kimi K2 0711 Instruct FP4 by NanoGPT accepts text as input and can generate text as output.

Is Kimi K2 0711 Instruct FP4 by NanoGPT open source?

No, Kimi K2 0711 Instruct FP4 by NanoGPT has closed weights. The model is only available through the NanoGPT API.

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Kimi K2 0711 Instruct FP4 API

NanoGPT

About

Process massive datasets with Kimi K2 0711 Instruct FP4, featuring an expansive 128K context window for long-document analysis. This model delivers cost-effective pricing at $0.10/1M input and $2.00/1M output tokens. Access Kimi K2 0711 Instruct FP4 via the NanoGPT API with up to 131K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsClosed

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

128K

Tokens

Input Limit

128K

Tokens

Max Output

131K

Tokens

Pricing

Standard (per 1M tokens)

Input

$0.10

Output

$2.00

Frequently Asked Questions

Kimi K2 0711 Instruct FP4 by NanoGPT costs $0.10 per 1M input tokens and $2.00 per 1M output tokens.

Model Details

baseten/Kimi-K2-Instruct-FP4

Provider

NanoGPT

Family

kimi

Release Date

Jul 11, 2025

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

NANO_GPT_API_KEY

API Base URL

https://nano-gpt.com/api/v1

Documentation