Reka Edge

Lightweight model from Reka AI designed specifically for edge computing, optimized for resource-constrained edge devices. Uses efficient model architecture providing reliable AI services under limited computational resources. Particularly suitable for IoT devices, mobile applications, and scenarios requiring local deployment. Edge version emphasizes low latency, low power consumption, and high efficiency, providing practical solutions for edge AI applications.

Intelligence(Relatively Weak)

Speed(Relatively Slow)

Input Supported Modalities

Yes

Is Reasoning Model

128,000

Context Window

Maximum Output Tokens

Knowledge Cutoff

Go Compare

Pricing

- /M tokens

Input

- /M tokens

Output

￥0.72 /M tokens

Blended Price

Quick Simple Comparison

Input

Output

Reka Core

Reka Flash 3

Reka Edge

Basic Parameters

Reka EdgeTechnical Parameters

Parameter Count

Not Announced

Context Length

128.00k tokens

Training Data Cutoff

Open Source Category

Proprietary

Multimodal Support

Text Only

Throughput

Release Date

2024-02-12

Response Speed

85.0,807 tokens/s

Benchmark Scores

Below is the performance of Reka Edge in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

32.98

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions