Requesty

grok-3

Excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.

πŸ”§Tool calling

Specifications

Context window131K tokens
Max outputβ€”
API typechat
AddedOct 16, 2025
Model IDxai/grok-3
Data retentionYes (30 days)
Used for trainingUnknown
Provider locationπŸ‡ΊπŸ‡Έ US

Benchmarks

Released 2025-02
SWE-Bench Verifiedcoding
58.3%

Resolving real GitHub issues from 12 popular Python repositories.

GPQA Diamondreasoning
75.4%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

MMLU Proknowledge
82.8%

Massive Multitask Language Understanding across 57 academic subjects.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality β€” always test on your own workload.

Pricing

Input / 1M
$5.00
Output / 1M
$25.00
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.75
1M input + 100K output$7.50
10M input + 1M output$75.00

Requesty charges exactly what the upstream provider charges β€” 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-3.

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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-3", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

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Frequently asked questions

How much does grok-3 cost?
grok-3 is priced at $5.00 per million input tokens and $25.00 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of grok-3?
grok-3 has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
How does grok-3 perform on benchmarks?
grok-3 scores 89.3% on MATH, 88.2% on HumanEval, 83.9% on AIME 2024. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can grok-3 do?
grok-3 supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use grok-3 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-3". The Quickstart above shows Python, JavaScript and cURL snippets.

Access grok-3 through Requesty

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