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GLM 5.1vsGLM-5

Across 7 shared benchmarks, GLM 5.1 leads overall: GLM 5.1 wins 7, GLM-5 wins 0, with 0 ties and an average score difference of +1.88.

智谱AI
GLM 5.1

智谱AI · 2026-03-27 · Reasoning model

智谱AI
GLM-5

智谱AI · 2026-02-11 · Chat model

GLM 5.17 wins(100%)(0%)0 winsGLM-5

Benchmark scores

Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.

General Knowledge

GLM 5.1 3/3
BenchmarkGLM 5.1GLM-5Diff
HLE52.3019 / 172Thinking (With Tools)50.4025 / 172+1.90
LiveBench70.1837 / 115Normal (No Tools)68.8543 / 115Normal (No Tools)+1.33
GPQA Diamond86.2047 / 187Thinking (No Tools)8648 / 187Thinking (No Tools)+0.20

Math and Reasoning

GLM 5.1 2/2
BenchmarkGLM 5.1GLM-5Diff
AIME 202695.304 / 18Thinking (No Tools)92.709 / 18Thinking (No Tools)+2.60
IMO-AnswerBench83.8012 / 21Thinking (No Tools)82.5015 / 21Thinking (No Tools)+1.30

AI Agent - Information Search

GLM 5.1 1/1
BenchmarkGLM 5.1GLM-5Diff
BrowseComp79.3017 / 53Thinking (With Tools + Internet)75.9024 / 53+3.40

AI Agent - Tool Usage

GLM 5.1 1/1
BenchmarkGLM 5.1GLM-5Diff
Terminal Bench 2.063.5013 / 47Thinking (With Tools)61.1018 / 47+2.40

Specs

FieldGLM 5.1GLM-5
Publisher智谱AI智谱AI
Release date2026-03-272026-02-11
Model typeReasoning modelChat model
ArchitectureMoEMoE
Parameters75.4B744B
Context length200K200K
Max output125K128K

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemGLM 5.1GLM-5
Text input$1.4 / 1M tokens$1 / 1M tokens
Text output$4.4 / 1M tokens$3.2 / 1M tokens
Cache read$4.4 / 1M tokensNot public
Cache write$0.26 / 1M tokens$0.2 / 1M tokens

Summary

  • GLM 5.1leads in:General Knowledge (3/3), Math and Reasoning (2/2), AI Agent - Information Search (1/1), AI Agent - Tool Usage (1/1)

On average across the 7 shared benchmarks, GLM 5.1 scores 1.88 higher.

Largest single-benchmark gap: BrowseComp — GLM 5.1 79.30 vs GLM-5 75.90 (+3.40).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.