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目录
Model catalogGrok 3
GR

Grok 3

Grok 3

Release date: 2025-02-17更新于: 2025-02-18 17:12:381,146
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
128K
Chinese support
Supported
Reasoning ability

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Grok 3

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
No data
Model type
聊天大模型
Release date
2025-02-17
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Grok 3

Open source & experience

Code license
不开源
Weights license
不开源- 不开源
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Grok 3

Official resources

Paper
No paper available
DataLearnerAI blog
Grok3发布！马斯克旗下大模型企业xAI发布Grok3、Grok3-mini，支持Deep Research、语音交互和“思考”模式的推理大模型，推理模式评测结果全球最强
Grok 3

API details

API speed
No data
No public API pricing yet.
Grok 3

Benchmark Results

Thinking
All modesNormal

综合评估

1 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Off
80.40
58 / 160

常识问答

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleQA
Off
43.40
16 / 45

数学推理

4 evaluations
Benchmark / mode
Score
Rank/total
AIME 2024
Off
84.20
22 / 62
AIME2025
Off
77.10
63 / 107
FrontierMath
Off
3.80
40 / 55
FrontierMath - Tier 4
Off
0.01
27 / 34

编程与软件工程

1 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
Off
70.60
40 / 106
查看评测深度分析与其他模型对比
Grok 3

Publisher

xAI
xAI
View publisher details
Grok 3

Model Overview

Grok-3是xAI发布的第三代大语言模型，在2025年2月17日发布。


Grok-3系列模型分为2个版本，分别是Grok-3和Grok-3 mini，官方没有公布参数等信息。这两个版本的模型都支持推理模式，其中Grok-3 mini的Reasoning版本已经训练完成，而Grok-3 Reasoning目前是beta版本，并未正式发布。


关于Grok-3大模型的具体介绍，参考DataLearnerAI的博客： https://www.datalearner.com/blog/1051739847418034 


为了更加清晰对比Grok-3模型和其它模型的对比结果，我们DataLearnerAI汇总了所有的大模型对比，数据来源： https://www.datalearner.com/ai-models/ai-benchmarks-tests/compare-result?benchmarkInputString=37,32&modelInputString=511,510,509,508,501,495,492,488,470,429 

https://www.datalearner.com/ai-models/ai-benchmarks-tests/compare-result?benchmarkInputString=37,32&modelInputString=511,510,509,508,501,495,492,488,470,429

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