kimi-k3
Model id
moonshotai/kimi-k3Moonshot's most capable model: an open-weight agent model that takes images as well as text, with 2.8T parameters and a 1M-token context. Built to sustain long engineering sessions with little oversight, and for agentic knowledge work such as deep research.
Cost /1M tokens
$3.00input
$0.60cached
$15.00output
Context
1Mtokens
Live speed
136 tok/s · 0.85s to first token
Speed
Throughput users got on kimi-k3 with Keln API in the last 24 hours.
Latency
Time to first token users got on kimi-k3 with Keln API in the last 24 hours.
Capabilities
Input
Text and images
Tool calling
Yes
JSON output
Yes
Reasoning
Yes
Web search
With opt-in
Data retention
Zero
Use the API
Create an API key, save it to KELN_API_KEY, then call the endpoint below.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.keln.ai/v1/",
api_key=os.environ.get("KELN_API_KEY"),
)
resp = client.chat.completions.create(
model="moonshotai/kimi-k3",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)Use with your tools
Set up guides on docs.keln.ai ↗