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Model Detail

x-ai logo

xAI: Grok 3 Beta

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Provider: xAICategory: llm
DB Score
36.5
Downloads
0
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Overview

xAI: Grok 3 Beta is a large language model released by xAI. And supports text->text inputs.

Pricing & Throughput

xAI: Grok 3 Beta is priced at $3/M input tokens and $15/M output tokens. Operationally the model offers a 131K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.

Technical

The published knowledge cutoff is 2025-02-28, so newer events will not be reflected in zero-shot answers without retrieval.

Use Cases

xAI: Grok 3 Beta is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Pricing
Input ($/M tokens)
$3
Output ($/M tokens)
$15
Context Window
131K
Research Paper
arXiv: 2411.01134→
Model Info
Modalitytext->text
Knowledge Cutoff2025-02-28
Citations1 (0 influential)
Recent newsView all news →
Related News
arxivneutral3d ago

To Grok Grokking: Provable Grokking in Ridge Regression

arXiv:2601.19791v4 Announce Type: replace Abstract: We study grokking, the onset of generalization long after overfitting, in a classical ridge regression setting. We prove end-to-end grokking results for learning over-parameterized linear regression models using gradient descent with weight decay.

arxivneutral4d ago

Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies

arXiv:2607.15146v1 Announce Type: new Abstract: Online encyclopedias shape political opinion and, through it, democratic discourse. In late 2025, Grokipedia was released, an encyclopedia written entirely by the LLM Grok. One motivation behind the project was to provide an unbiased alternative to Wik

arxivneutral5d ago

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations

arXiv:2607.13749v1 Announce Type: new Abstract: Neural networks trained on modular arithmetic exhibit grokking, a delayed transition from memorisation to generalisation known to depend on model capacity: too little and the network memorises slowly or not at all, too much and it generalises almost im

xAI sues a man for using Grok to generate CSAM ‘deepfakes’
thevergeneutral5d ago

xAI sues a man for using Grok to generate CSAM ‘deepfakes’

The Elon Musk-owned xAI is suing a South Carolina man who allegedly used the company's Grok AI chatbot to generate child sexual abuse material (CSAM). In a lawsuit reported earlier by Reuters, xAI claims Terry Wayne Harwood "knowingly and intentionally used Grok to circumvent safeguards, alter nonco

arxivneutral6d ago

What Makes a Representational Prior Work? Feature Families, Label-Free Invariances, and Critical Windows in Grokking

arXiv:2607.12735v1 Announce Type: new Abstract: Companion work showed the grokking delay is causally the time to form task-structured representations, injectable via a contrastive prior. Here we characterize what makes such a prior work, across four axes, in 188 new runs. Content: a coherent, learna

arxiv6d ago

Structure-Specific Representational Priors Causally Control the Grokking Delay

arXiv:2607.04333v3 Announce Type: replace Abstract: Grokking -- generalization long after training-set interpolation -- has been accelerated by structure-agnostic interventions (gradient filtering, weight-norm clamping, geometric penalties). Whether the delay specifically measures the time to form t

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