Requesty
xAI Corp.

grok-3-mini

A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.

ReasoningTool callingWeb searchJSON schema
Try grok-3-miniCompareDocs

Specifications

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

Benchmarks

Released 2025-02-19
Coding Indexcoding
25.2%

Artificial Analysis Coding Index β€” a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
79.1%

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

Intelligence Indexreasoning
32.1%

Artificial Analysis Intelligence Index β€” a composite of multiple evaluations measuring overall model capability.

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
$0.30
Output / 1M
$0.50
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.0350
1M input + 100K output$0.35
10M input + 1M output$3.50

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-mini.

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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-mini",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other xAI Corp. models

grok-build-0.1
256K ctx$1.00/1M
grok-4.3
1M ctx$1.25/1M
Coding 41
grok-4.2-beta
2M ctx$2.00/1M
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
Coding 24

Frequently asked questions

How much does grok-3-mini cost?
grok-3-mini is priced at $0.30 per million input tokens and $0.50 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-mini?
grok-3-mini 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-mini perform on benchmarks?
grok-3-mini scores 90.4% on τ²-Bench, 84.7% on Math Index, 84.7% on AIME 2025. 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-mini do?
grok-3-mini supports tool calling, extended reasoning, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use grok-3-mini 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-mini". The Quickstart above shows Python, JavaScript and cURL snippets.

Access grok-3-mini 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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