Reka Flash 3

Reka AI の第三世代 Flash シリーズモデルで、高速マルチモーダル推論向けに設計されています。前世代製品と比較して能力と処理効率が向上しており、マルチモーダル理解と高速応答をサポートします。最適化されたアーキテクチャ設計を採用しており、高速推論を維持しつつ正確なマルチモーダル分析を提供できます。スマートカスタマーサービス、コンテンツ分析など、リアルタイムのマルチモーダル処理が必要なアプリケーションシナリオに適しています。

Intelligence(Medium)

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

￥2.52 /M tokens

Blended Price

Quick Simple Comparison

Input

Output

Reka Flash (Feb '24)

Reka Flash (Sep '24)

Reka Edge

Basic Parameters

Reka Flash 3Technical Parameters

Parameter Count

Not Announced

Context Length

128.00k tokens

Training Data Cutoff

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text Only

Throughput

Release Date

2025-03-10

Response Speed

56.014,126 tokens/s

Benchmark Scores

Below is the performance of Reka Flash 3 in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

47.13

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

35.11

Indicator of AI model performance on coding tasks

Math Index

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

70.13

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

66.9

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

52.9

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

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

5.1

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

43.5

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

26.7

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

89.3

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

33k

Context Length

Gemini 2.0 Flash Lite (Preview)

Output tokens/million

Output tokens/million

8192

Context Length

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご