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Grok 3 Beta: Pricing, Context Window & Benchmarks

by xAI

Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. Excels in structured tasks and benchmarks like GPQA, LCB, and MMLU-Pro where it outperforms Grok 3 Mini even on high thinking. Note: That there are two xAI endpoints for this model. By default when using this model we will always route you to the base endpoint. If you want the fast endpoint you can add `provider: { sort: throughput}`, to sort by throughput instead.

Chat with Grok 3 Beta
Input Price
$3.00/1M tokens
Output Price
$15.00/1M tokens
Intelligence
25.0
Coding
19.8

What you can do with Grok 3 Beta

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

6 tests
GPQA
69.3%
MMLU Pro
79.9%
LiveCodeBench
42.5%
Math 500
87.0%
AIME 2025
58.0%
HLE
5.1%
Metric Value
Provider xAI
Context Window 131,072 tokens
Input Price $3.00/1M tokens
Output Price $15.00/1M tokens
Release Date Feb 19, 2025
Modalities text
Capabilities N/A

Compare Grok 3 Beta to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is Grok 3 Beta good for?

Use Grok 3 Beta for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Grok 3 Beta cost?

Pricing is based on usage. Current rates are $3.00/1M tokens for input and $15.00/1M tokens for output.

Can I try Grok 3 Beta for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Grok 3 Beta support images or audio?

Grok 3 Beta focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.