Grok 3 Mini Reasoning (high)

Grok 3 Mini is a simplified version of the xAI Grok 3 AI model, designed to achieve faster response times while maintaining practicality. It is tailored for users who need speed over the comprehensive capabilities of the full Grok 3 model, making it suitable for tasks where rapid information retrieval is key. Grok 3 Mini still leverages the advanced training and data used in building Grok 3 but offers a lighter and more efficient version for daily use.

Intelligence(Relatively Strong)

Speed(Relatively Slow)

Input Supported Modalities

Yes

Is Reasoning Model

1,000,000

Context Window

8,000

Maximum Output Tokens

2024-11-17

Knowledge Cutoff

Pricing

￥2.16 /M tokens

Input

￥3.6 /M tokens

Output

￥2.52 /M tokens

Blended Price

Quick Simple Comparison

Grok 3 Reasoning Beta

￥3

Grok 3 mini Reasoning (Low)

￥0.3

Grok 3 mini Reasoning (high)

￥0.3

Basic Parameters

GPT-4.1 Technical Parameters

Parameter Count

Not Announced

Context Length

1.0M tokens

Training Data Cutoff

2024-11-17

Open Source Category

Proprietary

Multimodal Support

Text, Image

Throughput

100

Release Date

2025-02-19

Response Speed

56.6,852 tokens/s

Benchmark Scores

Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

6667

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

5513

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

82.8

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

79.1

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

11.1

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

69.6

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

40.6

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

97.8

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

99.2

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

93.3

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

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