Flash 3

Rekaai chatreasoning

API ID: rekaai/reka-flash-3

Input Price
$0.10
/1M tokens
Output Price
$0.20
/1M tokens

About Flash 3

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a 32K context length and optimized through reinforcement learning (RLOO), it provides competitive performance comparable to proprietary models within a smaller parameter footprint. Ideal for low-latency, local, or on-device deployments, Reka Flash 3 is compact, supports efficient quantization (down to 11GB at 4-bit precision), and employs explicit reasoning tags ("<reasoning>") to indicate its internal thought process. Reka Flash 3 is primarily an English model with limited multilingual understanding capabilities. The model weights are released under the Apache 2.0 license.

๐Ÿ’ฐ
Price Ranking
#674 lowest price among 1240 Chat models

Model Specifications

Context Length
66k
Max Output
66k
Release Date
2025-03-12
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.11
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$3.30
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$4.65
/month
500 analyses/day, ~2k tokens each

Rekaai Model Lineup

Compare all models from Rekaai to find the best fit

Model Input Output Context Capabilities
Flash 3 Current Free Free 66k chat reasoning
Reka Edge $0.10 $0.10 16k chat reasoning tool_use

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๐Ÿš€ Quick Start

Get started with Flash 3 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="rekaai/reka-flash-3",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)