Using Kimi K2.5 on Replicate API

Implementation guide · Kimi · Moonshot AI

Serverless

Replicate API exposes Kimi K2.5 through model ID moonshotai/kimi-k2.5. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-04. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Replicate API and generate an API key.
  2. 2
    Use the Replicate API SDK or REST API to call moonshotai/kimi-k2.5 — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $3.00/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install replicate
API key
REPLICATE_API_TOKEN
Model ID
moonshotai/kimi-k2.5

Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.

import replicate

# reads REPLICATE_API_TOKEN from env
# moonshotai/kimi-k2.5 format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "moonshotai/kimi-k2.5",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

Pricing on Replicate API

TypePrice (per 1M)
Input tokens$0.60
Output tokens$3.00

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Kimi K2.5

Kimi K2.5 is Moonshot AI's Kimi model focused on code generation and software engineering. It offers a 256K-token context window and scores 87.9 on GPQA.

Full model details →

Model Specs

Released2026-03-15
Parameters1T (MoE, 384 experts)
Context256k
ArchitectureMixture of Experts

Also available on(9)

OpenRouter$0.44/1MTogether AI$0.50/1MFireworks AI$0.60/1M
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Provider

Replicate API

Replicate

San Francisco, California, United States