Overview
Reka Core is a powerful frontier-class multimodal language model approaching the capabilities of models like GPT-4 and Claude 3 Opus. It excels at both language and vision tasks, performing competitively on benchmarks like MMLU, GSM8K, and MMMU. Core outperforms many larger models on multilingual and long-context tasks. In blind human evaluations, it ranks highly for both text-only and multimodal chat. Core is well-suited for developers needing state-of-the-art performance on a wide range of language and vision tasks, especially those requiring strong multilingual capabilities or reasoning over long contexts. Its multimodal abilities make it a good fit for applications involving image and video understanding. While not always surpassing top models like GPT-4, Core offers very competitive performance and may be a strong choice for those seeking an alternative to the most prominent AI companies' offerings.
Specializations
Frontier-class multimodal capabilities (text, image, video, audio).
Strong performance on complex reasoning tasks (e.g., MMLU, GSM8K).
Excels in multilingual understanding and generation.
Competitive in long-context tasks (up to 128K tokens).
High-quality multimodal chat, ranking well in human evaluations.
Robust medical reasoning capabilities.
Versatile across a wide range of language and vision tasks.
Integration Guide (Javascript)
To use this model through Portkey, follow these steps:
1. Install Portkey SDK:
npm install --save portkey-ai
2. Set up client with Portkey:
// Import and initialize Portkey
import Portkey from 'portkey-ai'
const portkey = new Portkey({
apiKey: "PORTKEY_API_KEY", // Replace with your Portkey API key
virtualKey: "VIRTUAL_KEY" // Your Reka AI Virtual Key created in Portkey
})
3. Make a request:
const chatCompletion = await portkey.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'reka-core',
});
console.log(chatCompletion.choices);
Live API Statistics and Performace Metrics
LMSys Arena Elo Score:
1230
Arena Score
LMSys Leaderboard Rank:
26
Arena Rank
Evaluates LLMs through a combination of user feedback and automated scoring systems.
Model Specifications
Release Date:
15/4/2024
Max. Context Tokens:
128K
Knowledge Cut-Off Date:
November 2023
MMLU:
83.2
%
License:
Proprietary
Technical Report/Model Card:
LMSys Elo Score
1230
Pricing
$/Million Input Tokens
$
2
$/Million Output Tokens
$
2
Live updates via Portkey Pricing API. Coming Soon...
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