Grok 3 Mini Beta — xAI | Modeldex

Grok 3 Mini Beta

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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...

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Feb 28, 2025(1.1 years ago)

API release

Apr 10, 2025(1.0 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

Grok 3 Mini Beta became available via the xAI API on 2025-04-09.

Training & availability

Training data has a knowledge cutoff of 2025-02-28 — information about events after that date is unlikely to appear in the model's responses. xAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 131K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 13 months old — this model will not know about recent events, releases, or API changes.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.3000 per 1M tokens
Output: $0.5000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="xai/grok-3-mini-beta",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.3/1M

Output tokens / month2.0M

@ $0.5/1M

Input cost

$1.5

5.0M × $0.3/1M

Output cost

2.0M × $0.5/1M

Total / month

$2.5

$30 / year

Providers & performance

2 providers

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
xAI	—	—	$0.3	$0.5	131K	—	tools · json
xAI	—	—	$0.6	$4	131K	—	tools · json

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.