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Qwen3.7 MaxvsGLM 5.1

Across 9 shared benchmarks, Qwen3.7 Max leads overall: Qwen3.7 Max wins 9, GLM 5.1 wins 0, with 0 ties and an average score difference of +5.04.

阿里巴巴
Qwen3.7 Max

阿里巴巴 · 2026-05-20 · Reasoning model

智谱AI
GLM 5.1

智谱AI · 2026-03-27 · Reasoning model

Qwen3.7 Max9 wins(100%)(0%)0 winsGLM 5.1

Benchmark scores

Grouped by capability, sorted by largest gap within each. 9 shared benchmarks.

AI Agent - Tool Usage

Qwen3.7 Max 2/2
BenchmarkQwen3.7 MaxGLM 5.1Diff
Terminal Bench 2.069.705 / 48Thinking (With Tools)63.5013 / 48Thinking (With Tools)+6.20
MCP-Atlas76.4016 / 38Thinking (With Tools)75.6019 / 38Normal (With Tools)+0.80

Coding and Software Engineer

Qwen3.7 Max 2/2
BenchmarkQwen3.7 MaxGLM 5.1Diff
Text Arena (Coding)1,54111 / 35Normal (No Tools)1,53413 / 35Normal (No Tools)+6.77
SWE-Bench Pro - Public60.6012 / 57Thinking (With Tools)58.4017 / 57Thinking (With Tools)+2.20

General Knowledge

Qwen3.7 Max 2/2
BenchmarkQwen3.7 MaxGLM 5.1Diff
LiveBench74.2921 / 115Deep Thinking (No Tools)70.1837 / 115Normal (No Tools)+4.11
HLE53.5018 / 181Thinking (With Tools)52.3021 / 181Thinking (With Tools)+1.20

Commonsense Reasoning

Qwen3.7 Max 1/1
BenchmarkQwen3.7 MaxGLM 5.1Diff
SimpleBench70.407 / 67Normal (No Tools)58.7022 / 67Normal (No Tools)+11.70

General Evaluation

Qwen3.7 Max 1/1
BenchmarkQwen3.7 MaxGLM 5.1Diff
GPQA Diamond92.4022 / 226最高(无工具)86.2078 / 226Thinking (No Tools)+6.20

Math and Reasoning

Qwen3.7 Max 1/1
BenchmarkQwen3.7 MaxGLM 5.1Diff
IMO-AnswerBench903 / 23最高(无工具)83.8014 / 23Thinking (No Tools)+6.20

Specs

FieldQwen3.7 MaxGLM 5.1
Publisher阿里巴巴智谱AI
Release date2026-05-202026-03-27
Model typeReasoning modelReasoning model
ArchitectureDenseMoE
ParametersNot available75.4B
Context length1M200K
Max output64K125K

API pricing

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

ItemQwen3.7 MaxGLM 5.1
Text input¥12 / 1M tokens$1.4 / 1M tokens
Text output¥36 / 1M tokens$4.4 / 1M tokens
Cache readNot public$4.4 / 1M tokens
Cache writeNot public$0.26 / 1M tokens

Summary

  • Qwen3.7 Maxleads in:AI Agent - Tool Usage (2/2), Coding and Software Engineer (2/2), General Knowledge (2/2), Commonsense Reasoning (1/1), General Evaluation (1/1), Math and Reasoning (1/1)

On average across the 9 shared benchmarks, Qwen3.7 Max scores 5.04 higher.

Largest single-benchmark gap: SimpleBench — Qwen3.7 Max 70.40 vs GLM 5.1 58.70 (+11.70).

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