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xAI Corp.

grok-4.2-beta

Grok 4.20 Beta is xAI's newest flagship model with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses.

👁Vision🧠Reasoning🔧Tool calling⚡Caching🖥Computer use
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Specifications

Context window2M tokens
Max output—
API typechat
AddedMar 19, 2026
Model IDxai/grok-4.2-beta
Data retentionYes (30 days)
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyxAI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the xAI Corp. models overview.

Pricing

Input / 1M
$2.00
Output / 1M
$6.00
Cache write / 1M
$2.00
Cache read / 1M
$0.20
Estimated cost
100K input + 10K output$0.26
1M input + 100K output$2.60
10M input + 1M output$26.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to xai/grok-4.2-beta.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="xai/grok-4.2-beta",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other xAI Corp. models

grok-4-1-fast-non-reasoning
2M ctx$0.20/1M
grok-4-1-fast-reasoning
2M ctx$0.20/1M
grok-code-fast-1
256K ctx$0.20/1M
grok-3
131K ctx$5.00/1M
SWE-Bench 58%
grok-2-1212
131K ctx$2.00/1M
grok-4-fast-non-reasoning
2M ctx$0.20/1M

Frequently asked questions

How much does grok-4.2-beta cost?
grok-4.2-beta is priced at $2.00 per million input tokens and $6.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of grok-4.2-beta?
grok-4.2-beta has a context window of 2M tokens. That's roughly 2,667 words of input you can fit in a single prompt.
What can grok-4.2-beta do?
grok-4.2-beta supports vision input, tool calling, extended reasoning, prompt caching, computer use. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use grok-4.2-beta with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "xai/grok-4.2-beta". The Quickstart above shows Python, JavaScript and cURL snippets.

Access grok-4.2-beta through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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