DataLearner logoDataLearnerAI
Latest AI Insights
Model Leaderboards
Benchmarks
Model Directory
Model Comparison
Resource Center
Tools
LanguageEnglish
DataLearner logoDataLearner AI

A knowledge platform focused on LLM benchmarking, datasets, and practical instruction with continuously updated capability maps.

Products

  • Leaderboards
  • Model comparison
  • Datasets

Resources

  • Tutorials
  • Editorial
  • Tool directory

Company

  • About
  • Privacy policy
  • Data methodology
  • Contact

© 2026 DataLearner AI. DataLearner curates industry data and case studies so researchers, enterprises, and developers can rely on trustworthy intelligence.

Privacy policyTerms of service
Page navigation
Page navigation
Model catalogGLM 5.1
GL

GLM 5.1

Reasoning model

GLM 5.1

Release date: 2026-03-27Updated: 2026-04-25 14:56:58.6096,429
Live demoGitHubHugging FaceCompare
Parameters
75.4B
Context length
200K
Chinese support
Supported
Reasoning ability

GLM 5.1 is an AI model published by 智谱AI, released on 2026-03-27, for Reasoning model, with 754.0B parameters, and 200K tokens context length, requiring about 1.51TB storage, under the MIT License license.

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

GLM 5.1

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Mode (Default)Standard Mode
Context length
200K tokens
Max output length
128000 tokens
Model type
Reasoning model
Release date
2026-03-27
Model file size
1.51TB
MoE architecture
Yes
Total params / Active params
75.4B / 4B
Knowledge cutoff
No data
GLM 5.1

Open source & experience

Code license
MIT License
Weights license
MIT License- 免费商用授权
GitHub repo
https://github.com/zai-org/GLM-5.1
Hugging Face
https://huggingface.co/zai-org/GLM-5.1
Live demo
https://docs.z.ai/guides/llm/glm-5.1
GLM 5.1

Official resources

Paper
GLM-5.1: Towards Long-Horizon Tasks
DataLearnerAI blog
No blog post yet
GLM 5.1

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Learn about pricing modes
Standard
TypeConditionInputOutput
Text-$1.40/ 1M$4.40/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text5m$0.260/ 1M$4.40/ 1M
GLM 5.1

Benchmark Results

GLM 5.1 currently shows benchmark results led by HLE (9 / 149, score 52.30), SWE-Bench Pro - Public (5 / 36, score 58.40), AIME 2026 (2 / 14, score 95.30). 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
Tool usage
Internet

General Knowledge

3 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Thinking Mode
86.20
39 / 175
HLE
Thinking Mode
31
62 / 149
HLE
Thinking ModeTools
52.30
9 / 149

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-Bench Pro - Public
Thinking ModeTools
58.40
5 / 36

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
Thinking ModeToolsInternet
79.30
11 / 43

AI Agent - Tool Usage

2 evaluations
Benchmark / mode
Score
Rank/total
Terminal Bench 2.0
Thinking ModeTools
63.50
11 / 43
Tool Decathlon
Thinking ModeTools
40.70
3 / 7

Math and Reasoning

2 evaluations
Benchmark / mode
Score
Rank/total
AIME 2026
Thinking Mode
95.30
2 / 14
IMO-AnswerBench
Thinking Mode
83.80
9 / 17
View benchmark analysisCompare with other models

Compare with other models

  • Peer modelGLM 5.1 vs Kimi K2.68 benchmarks
  • Peer modelGLM 5.1 vs DeepSeek-V4-Pro6 benchmarks
  • Earlier versionGLM 5.1 vs GLM-56 benchmarks
  • Earlier versionGLM 5.1 vs GLM-4.76 benchmarks
  • Peer modelGLM 5.1 vs MiniMax-M2.73 benchmarks
  • Earlier versionGLM 5.1 vs GLM-4.63 benchmarks

Want a custom combination? Open the compare tool

GLM 5.1

Publisher

智谱AI
智谱AI
View publisher details
GLM 5.1

Model Overview

GLM 5.1 is an AI model published by 智谱AI, released on 2026-03-27, for Reasoning model, with 754.0B parameters, and 200K tokens context length, requiring about 1.51TB storage, under the MIT License license.

DataLearner on WeChat

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

DataLearner WeChat QR code