rekaai/reka-flash-3
Model Card
Reka Flash 3 is a 21-billion-parameter reasoning model developed by Reka AI, designed as a compact but capable general-purpose LLM. It excels at chat, coding, instruction following, and function calling.
The model uses chain-of-thought reasoning via explicit thinking tags, and supports a "budget forcing" mechanism that lets you cap reasoning steps to control latency. It offers a 130K-token context window and is text-only (no image input).
Reka AI positions it as competitive with OpenAI's o1-mini while being significantly smaller. It scores 65.0 on MMLU-Pro — modest for knowledge-heavy tasks, so pairing it with search or retrieval is recommended. It's primarily English-focused.
Priced at $0.20 per million input tokens and $0.80 per million output tokens via the Reka API, it's a cost-effective option for developers who need solid reasoning at low cost.
Context Window 66K
tokens
Max Output 66K
tokens
Input Cost $0.1
per million tokens
Output Cost $0.2
per million tokens
Release Date Mar 12, 2025
API Usage Example
Add Reka Flash 3 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: "rekaai/reka-flash-3"
}).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: "rekaai/reka-flash-3"
}).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="rekaai/reka-flash-3",
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": "rekaai/reka-flash-3",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
More AI Models From Reka AI
Frequently Asked Questions
You can access Reka Flash 3 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 Flash 3 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 | $0.1 |
| Output | $0.2 |
Reka Flash 3 was created by Reka AI and released on Mar 12, 2025.
Reka Flash 3 supports a context window of 66K tokens. For reference, that is roughly equivalent to 131 pages of text.
Reka Flash 3 can generate up to 66K tokens in a single response.
Yes — the Reka Flash 3 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 Flash 3 to your app without worrying about API keys or setup.
Read the Docs View Tutorials