Overview
Run, train, and serve multimodal AI models on Reka.
Developer quickstart
Copy this snippet to get started with our inference API. See the full quickstart for more details.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.reka.ai/v1",
api_key=os.environ["REKA_API_KEY"],
)
completion = client.chat.completions.create(
model="glm5.3-flash",
messages=[{"role": "user", "content": "Why is the sky blue?"}],
)
print(completion.choices[0].message.content)Our models
Reka hosts its own models alongside popular open models, available through serverless or on-demand inference. On serverless, you pay for the tokens you use at each model’s rate. On-demand deployments are billed by GPU time. Browse the model catalog for descriptions, context windows and pricing.
- ChatDeepSeek V4 Flash
- ChatDeepSeek V4 Pro
- ChatGLM 5.3
- ChatGLM 5.3 Flash
- ChatQwen3.8 27B
- ChatReka Edge 2603
- ChatReka Flash 3