DataLearner logo
GR

Grok 4.20

Reasoning modelTool use

xAI Grok 4.20

Release date: 2026-03-09Updated: 2026-07-17 23:18:39.346Knowledge cutoff: 2024-111,478
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
1M
Chinese support
Supported
Reasoning ability

Grok 4.20 是 xAI 的推理与智能体模型,支持文本和图像输入、文本输出、1M 上下文、函数调用与结构化输出,并按是否超过 200K 上下文采用分档 API 价格。

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

Grok 4.20

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Mode (Default)
Context length
1M tokens
Max output length
No data
Model type
Reasoning model
Modality (in / out)
Text, Image → Text
Release date
2026-03-09
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
2024-11
Grok 4.20

Open source & experience

Code license
不开源
Weights license
不开源
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Grok 4.20

Official resources

DataLearnerAI blog
No blog post yet
Grok 4.20

API details

API speed
3/5
No public API pricing yet.
Grok 4.20

Benchmark Results

Grok 4.20 currently shows benchmark results led by ARC-AGI-3 (8 / 8, 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

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
ARC-AGI-3
Thinking Mode
0
8 / 8

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Grok 4.20

Publisher

xAI Grok 4.20

Model Overview

Grok 4.20 是 xAI 的推理与智能体模型,支持文本和图像输入、文本输出、1M 上下文、函数调用与结构化输出,并按是否超过 200K 上下文采用分档 API 价格。

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code