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目录
Model catalogGrok 3.5
GR

Grok 3.5

推理大模型

Grok 3.5

Release date: 2025-05-06更新于: 2025-05-05 11:20:08932
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
128K
Chinese support
Supported
Reasoning ability

Grok 3.5 is an AI model published by xAI, released on 2025-05-06, for 推理大模型, and 128K tokens context length, under the 不开源 license.

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

Grok 3.5

Model basics

Reasoning traces
Supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
65536 tokens
Model type
推理大模型
Release date
2025-05-06
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Grok 3.5

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
https://grok.com/
Grok 3.5

Official resources

Paper
No paper available
DataLearnerAI blog
No blog post yet
Grok 3.5

API details

API speed
3/5
No public API pricing yet.
Grok 3.5

Benchmark Results

Grok 3.5 currently shows benchmark results led by GPQA Diamond (164 / 166, score 0), SimpleQA (45 / 45, score 0), AIME 2024 (62 / 62, score 0). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
All modesNormal

综合评估

1 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Off
0
164 / 166

常识问答

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleQA
Off
0
45 / 45

数学推理

2 evaluations
Benchmark / mode
Score
Rank/total
AIME 2024
Off
0
62 / 62
AIME2025
Off
0
107 / 107
View benchmark analysisCompare with other models
Grok 3.5

Publisher

xAI
xAI
View publisher details
Grok 3.5

Model Overview

马斯克旗下大模型企业xAI最新的Grok版本,Grok 3.5相比较Grok3有了大幅提升。


当前,Grok 3.5在各方面的评测都超过了市面上的模型,包括Gemini 2.5 Pro、OpenAI o3等,如下图所示:


Grok 3.5与其它主流模型的评测结果对比


数据来源: https://www.datalearner.com/ai-models/ai-benchmarks-tests/compare-result?benchmarkInputString=32,33,37,42&modelInputString=572,508,545,558,492 

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