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Old Meng AI Explorer
Old Meng AI Explorer
Apr 23, 2026 · Artificial Intelligence

GLM-5.1 vs Qwen3.6 Plus vs MiniMax M2.7: In‑Depth 2026 Review of China’s Top AI Models

This article provides a detailed, data‑driven comparison of three 2026 Chinese flagship large language models—GLM-5.1, Qwen3.6 Plus, and MiniMax M2.7—covering knowledge, math, code, long‑task, multimodal performance, pricing, open‑source status, ecosystem support, and scenario‑based recommendations.

GLM-5.1Large Language ModelMiniMax M2.7
0 likes · 12 min read
GLM-5.1 vs Qwen3.6 Plus vs MiniMax M2.7: In‑Depth 2026 Review of China’s Top AI Models
Coder Circle
Coder Circle
Apr 8, 2026 · Industry Insights

GLM‑5.1 Enables 8‑Hour Continuous Operation and Leads SWE‑bench; Tencent Unveils First Open‑Config AI Browser

The AI daily briefing highlights GLM‑5.1’s breakthrough 8‑hour continuous reasoning, its top performance on SWE‑bench and a 10% price hike, while Tencent’s QBotClaw introduces the first domestically free‑configurable large‑model API browser, signaling a shift toward open AI ecosystems in China.

AI PricingAI ecosystemGLM-5.1
0 likes · 6 min read
GLM‑5.1 Enables 8‑Hour Continuous Operation and Leads SWE‑bench; Tencent Unveils First Open‑Config AI Browser
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Apr 8, 2026 · Artificial Intelligence

Unlocking 8‑Hour Autonomous Coding: GLM‑5.1’s Leap with Kunlun XPU

The open‑source GLM‑5.1 model, adapted to Baidu Baige's Kunlun XPU via the vLLM‑Kunlun Plugin, delivers record‑breaking SWE‑bench scores, eight‑hour autonomous coding, long‑context handling up to 64K tokens, and scalable deployment across tens of thousands of chips, showcasing end‑to‑end AI acceleration.

GLM-5.1Kunlun XPUQuantization
0 likes · 8 min read
Unlocking 8‑Hour Autonomous Coding: GLM‑5.1’s Leap with Kunlun XPU
PaperAgent
PaperAgent
Apr 2, 2026 · Artificial Intelligence

Can an LLM Build a Full‑Stack Knowledge Graph System in Under 3 Hours?

Using the GLM‑5.1 large language model, the author automated the end‑to‑end development of an ontology‑based knowledge‑graph extraction and visualization platform—covering backend, frontend, and graph database—in just 2 hours 47 minutes, consuming 747 k tokens and self‑correcting multiple issues.

AI engineeringGLM-5.1Knowledge Graph
0 likes · 12 min read
Can an LLM Build a Full‑Stack Knowledge Graph System in Under 3 Hours?
Su San Talks Tech
Su San Talks Tech
Apr 2, 2026 · Artificial Intelligence

How GLM-5.1 Beats Its Predecessor: A Hands‑On Test and Deep Dive

The article presents a detailed, hands‑on evaluation of the newly released GLM‑5.1 model, describing the rollout strategy, step‑by‑step testing on complex coding tasks, configuration details, observed performance improvements over previous versions, and practical guidance for developers seeking to leverage the model for real‑world projects.

AI Coding AssistantGLM-5.1Large Language Model
0 likes · 9 min read
How GLM-5.1 Beats Its Predecessor: A Hands‑On Test and Deep Dive
ShiZhen AI
ShiZhen AI
Mar 28, 2026 · Artificial Intelligence

GLM-5.1 Now Open to All: Performance vs Claude Opus, Pricing & Setup Guide

GLM-5.1 is now available to all Coding Plan subscribers, including the $10/month Lite tier, scoring 45.3 on SWE‑bench—just 5.4% below Claude Opus 4.6’s 47.9—while offering 20+ tool integrations and a manual switch from the default GLM‑4.7 model.

AI coding modelClaude OpusGLM-5.1
0 likes · 7 min read
GLM-5.1 Now Open to All: Performance vs Claude Opus, Pricing & Setup Guide