GR

Grok 4.1

Reasoning modelGrok 4.1

xAI Grok 4.1 (Non-Thinking, codename: tensor)

Release date: 2025-11-17Updated: 2026-03-08 21:11:182,446
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
No data
Chinese support
Not supported
Reasoning ability

xAI Grok 4.1 (Non-Thinking, codename: tensor) is an AI model published by xAI, released on 2025-11-17, for Reasoning model, under the 不开源 license, with a 54.60 score on SWE-bench Verified.

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

Grok 4.1

Model basics

Reasoning traces
Not supported
Thinking modes
Standard ModeThinking Level · Extended
Context length
No data
Max output length
No data
Model type
Reasoning model
Modality (in / out)
Text → Text
Release date
2025-11-17
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Grok 4.1

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 4.1

Official resources

DataLearnerAI blog
No blog post yet
Grok 4.1

API details

API speed
3/5
No public API pricing yet.
Grok 4.1

Benchmark Results

Grok 4.1 currently shows benchmark results led by SWE-bench Verified (84 / 108, score 54.60). 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

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-bench Verified
Standard Mode
54.60
84 / 108

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Grok 4.1

Publisher

xAI Grok 4.1 (Non-Thinking, codename: tensor)

Model Overview

xAI Grok 4.1 (Non-Thinking, codename: tensor) is an AI model published by xAI, released on 2025-11-17, for Reasoning model, under the 不开源 license, with a 54.60 score on SWE-bench Verified.

DataLearner on WeChat

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

DataLearner WeChat QR code