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Model details

xAI Grok 4

Grok 4 is built as a reasoning-focused model designed to handle complex intellectual challenges including mathematics, logic, coding, and scientific analysis. By integrating multimodal understanding with real-time access to live data, the architecture aims to provide a versatile tool for both consumer and enterprise applications. The model is engineered to compete with leading frontier systems, prioritizing deep reasoning capabilities that allow it to navigate intricate problem-solving scenarios that require both high-level intelligence and contextual awareness.

The development of Grok 4 involved a significant scaling effort, utilizing approximately 10 times more reinforcement learning compute than previous iterations to refine its reasoning performance. This post-training approach is complemented by a unified architecture that blends reasoning and non-reasoning modes, ensuring the model remains efficient across diverse workflows. With subsequent iterations like Grok 4.1 Fast, the lineage has evolved to support agentic workflows, featuring a 2 million token context window and specialized optimizations that reduce hallucinations and improve tool-calling reliability for autonomous systems.

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Quick Info

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Provider
Helicone
Model key
grok-4
Release date
Jul 9, 2024
Last updated
Jul 9, 2024
Knowledge cutoff
2024-07
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$3.00
Output token cost
$15.00

Limits

Output tokens
256,000 tokens
Context window
256,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about xAI Grok 4

Helicone

CoverageBenchmark

A long-form technical reference describes the xAI Grok 4 model family, launched July 9, 2025 and trained with reinforcement learning at pretraining scale on the Colossus 200,000-GPU supercomputer. The article enumerates six variants in the family, spanning from Grok 4.1 Fast at $0.20 per million tokens up to Grok 4 Hea The same article characterizes Grok 4 as a step change from Grok 3 in three areas — reinforcement learning applied at pretraining scale, expanded training compute via Colossus, and benchmark leadership on math and reasoning suites — and positions it as xAI's frontier offering now that xAI is described as a subsidiary o

Helicone

CoverageBenchmark

A peer-reviewed study in Scientific Reports benchmarks 11 recent LLMs — including GPT-5, Gemini 2.5 Pro, Grok-4, and DeepSeek R1 — against 119 pediatric dentistry questions drawn from the past ten years of Turkey's Dentistry Specialization Examination (DUS). Grok-4 achieved 88.24% accuracy on the question set, statisti The study also reports response-generation times, noting that lighter models such as Gemma, LLaMA, and Mistral returned answers in under one second but at low accuracy, while reasoning-intensive modes like DeepSeek variants took longer. Grok-4's combination of high accuracy and the study's inclusion of reasoning-mode a

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