Atlas / Models / X Ai / xAI: Grok 3 Mini Beta

xAI: Grok 3 Mini Beta✓ Catalog verified

x-ai/grok-3-mini-beta

Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s ideal for reasoning-heavy tasks that don’t demand extensive domain knowledge, and shines in math-specific and quantitative use cases, such as solving challenging puzzles or math problems. Transparent "thinking" traces accessible. Defaults to low reasoning, can boost with setting `reasoning: { effort: "high" }` 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.

Input price
$0.30 /1M
Output price
$0.50 /1M
Context
131K
Modalities
text
Released
Apr 9, 2025
Tool calling
✓ Yes
Atlas signal
89/100
01

Overview

Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s ideal for reasoning-heavy tasks that don’t demand extensive domain knowledge, and shines in math-specific and quantitative use cases, such as solving challenging puzzles or math problems. Transparent "thinking" traces accessible. Defaults to low reasoning, can boost with setting `reasoning: { effort: "high" }` 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.

Access: available through the official X Ai API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierx-ai/grok-3-mini-beta
ProviderX Ai
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedApr 9, 2025
TokenizerGrok
ModeratedNo
Architecture modalitytext->text
Supported parameters
include_reasoninglogprobsmax_tokensreasoningresponse_formatseedstoptemperaturetool_choicetoolstop_logprobstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for x-ai/grok-3-mini-beta as published in the catalog.

$0.30
Input /1M
$0.50
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3e-7$0.30 / 1MPer input token
Completion tokens$5e-7$0.50 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search fee$0.005$0.005000Per search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.25Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

xAI: Grok 3 Mini Beta
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
92signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call xAI: Grok 3 Mini Beta through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="x-ai/grok-3-mini-beta",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does xAI: Grok 3 Mini Beta cost?

$0.30 per 1M input tokens and $0.50 per 1M output tokens on the official X Ai API.

What is the context window of xAI: Grok 3 Mini Beta?

xAI: Grok 3 Mini Beta supports up to 131K tokens of context.

Does xAI: Grok 3 Mini Beta support tool / function calling?

Yes, xAI: Grok 3 Mini Beta supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access xAI: Grok 3 Mini Beta?

Use the official X Ai API with the model id `x-ai/grok-3-mini-beta`. See the Quick start section above for code examples.