reka/reka-edge
Model Card
Reka Edge is a 7B multimodal vision-language model that processes text, image, and video inputs with industry-leading performance in its size class for visual reasoning, object detection, and agentic tool-use. It features a ConvNeXt V2 vision encoder that extracts only 64 tokens per image tile, enabling exceptionally fast and low-latency inference ideal for real-time applications like robotics, automotive, and augmented reality. It demonstrates frontier-level tool-calling abilities and strong temporal video reasoning, outperforming comparable models on benchmarks like MLVU, MMVU, and RefCOCO.
Context Window N/A
tokens
Max Output N/A
tokens
Input Cost $0.2
per million tokens
Output Cost $0.2
per million tokens
Release Date Mar 20, 2026
API Usage Example
Add Reka Edge to your app with just a few lines of code.
No backend, no configuration required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "reka/reka-edge"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "reka/reka-edge"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="reka/reka-edge",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "reka/reka-edge",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Frequently Asked Questions
You can access Reka Edge by Reka AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Reka Edge to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $0.2 |
Reka Edge was created by Reka AI and released on Mar 20, 2026.
Yes — the Reka Edge API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Reka Edge to your app without worrying about API keys or setup.
Read the Docs View Tutorials