LLM Reference
Together AI

Using Kimi K2.5 on Together AI

Implementation guide · Kimi · Moonshot AI

Serverless

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call kimi-k2-5 — see the documentation for request format.
  3. 3
    You'll be billed $0.50/1M input, $2.80/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
kimi-k2-5

Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="kimi-k2-5",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Together AI

Platform for running open-source and proprietary LLMs

Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Pricing on Together AI

TypePrice (per 1M)
Input tokens$0.50
Output tokens$2.80

Capabilities

Function CallingStructured 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.

Model Specs

Released2026-03-15
Parameters1T (MoE, 384 experts)
Context256K
ArchitectureMixture of Experts

Provider

Together AI
Together AI

San Francisco, California, United States