Using Kimi K2 Instruct on Together AI
Implementation guide · Kimi K2 · Moonshot AI
ServerlessOpen Source
Together AI exposes Kimi K2 Instruct through model ID kimi-k2-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
kimi-k2-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install togetherAPI key
TOGETHER_API_KEYModel ID
kimi-k2-instructTogether 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-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.20 |
| Output tokens | $4.50 |
Capabilities
ReasoningStructured Outputs
About Kimi K2 Instruct
Kimi K2 Instruct is an instruction-tuned language model from Moonshot AI, available via Fireworks AI.
Model Specs
Released2025-09-05
Parameters1T total, 32B active (MoE)
Context131k
ArchitectureDecoder Only