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GLM 5.1

by z-ai · Released Apr 2026

Open Source
87.0
avg score
Rank #12
Compare
Top 5% of all models
Context
203K tokens (~101 books)
Input $/1M
$0.95
Output $/1M
$3.15
Type
text
License
Open Source
Benchmarks
12 tested
Data updated today
About

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

Tested on 12 benchmarks with 70.2% average. Top scores: Chatbot Arena Elo — Overall (1467.4%), LiveBench — Mathematics (84.9%), LiveBench — Coding (75.4%).

Looking for similar performance at lower cost?
Qwen3.6 Plus scores 88.7 (102% as good) at $0.33/1M input · 66% cheaper
Capabilities
coding
65.2
#27 globally
reasoning
67.9
#24 globally
math
84.9
#13 globally
knowledge
70.2
#17 globally
language
70.1
#68 globally
speed
89.9
#6 globally
Benchmark Scores
Compare All
Tested on 12 benchmarks · Ranked across 7 categories
Score Distribution (all 231 models)
0255075100
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LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

75.4
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

55.0
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

72.5
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

63.2
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

84.9
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Info
Documentation
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BenchGecko API
glm-5-1
Specifications
  • Typetext
  • Context203K tokens (~101 books)
  • ReleasedApr 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.005
Available On
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GLM 5.1 is an open-source text AI model by z-ai, released in April 2026. It has an average benchmark score of 87.0. Context window: 203K tokens.