#Z.AI

Tutorials, deep dives and product notes — built for developers.

GLM-5.3 vs GPT-5.6 Sol: The Open-Weight Challenger Meets OpenAI's Flagship

GLM-5.3 vs GPT-5.6 Sol benchmark and pricing breakdown. How Z.ai's upcoming open-weight model beats OpenAI's flagship on CyberGym (84.5%) and saves 85%+ on compute, while Sol leads on exploitation chains.

· 2.3K views · Abdeladim Fadheli

GLM-5.3 vs GLM-5.2: How Scaled Post-Training Unlocked a Generational Leap

Complete benchmark breakdown of GLM-5.3 vs GLM-5.2. How Z.ai extracted massive gains in DeepSWE (+45%), Terminal-Bench 3.0 (+515%), and global #1 on CyberGym purely through scaled post-training.

· 2.6K views · Abdeladim Fadheli

GPT-5.6 Luna vs GLM 5.2: OpenAI's Efficient Coder Meets Z.AI's Open-Weight Long-Horizon Model

GPT-5.6 Luna vs GLM 5.2 compared across coding, reasoning, long context, tools, pricing, licensing and deployment. After Luna's permanent 80% price cut, Luna has the stronger managed capability and economics package; GLM 5.2 brings MIT weights and openness.

· 6.3K views · Abdeladim Fadheli

Hy3 vs GLM 5.2: Half the Size, Half the Coding — But the Agent Crown

Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GLM 5.2 (753B MoE, MIT, $4.40/1M). GLM 5.2 wins every coding benchmark by 4-18 points. Hy3 counters with MCP Atlas #1 open-weight (79.1%), BrowseComp 84.2%, DeepSearchQA 91.0%, 47% fewer tokens, and 5.5× cheaper. Full comparison with 5 charts and a 10-point verdict.

· 4K views · Abdeladim Fadheli

Claude Sonnet 5 vs GLM 5.2: The Proprietary vs MIT Showdown — Near-Ties at Every Benchmark

Claude Sonnet 5 vs GLM 5.2: near-ties on every benchmark (±0.6-2.7 pts). GLM 2.3× cheaper on output, MIT open-weight, self-hostable. Sonnet has OSWorld, BrowseComp, Anthropic safety ecosystem. Proprietary premium vs open-weight value — Sonnet's $2/$10 is now permanent.

· 2.9K views · Abdeladim Fadheli

GLM-5.2 vs GLM-5.1: The Sibling Upgrade — 5× Context, Dual Thinking, +28 DeepSWE

GLM-5.2 vs GLM-5.1: the full sibling comparison. DeepSWE +28.2 (18.0→46.2), HMMT +9.9, GPQA +5.0, Pro +3.7. 200K→1M context (5×). Single→dual thinking modes. Anthropic API native. Same MIT license, same $4.40/1M. All data from Z.ai official blog.

· 4.4K views · Abdeladim Fadheli

Claude Opus 4.8 vs GLM-5.2: 0.7 Points From the Coding King at 1/6 the Price

Claude Opus 4.8 leads every benchmark — but GLM-5.2 is within 0.7 pts on FrontierSWE and 0.8 pts on MCP Atlas. At $4.40 vs $25 per 1M (5.7× cheaper) with MIT open weights, GLM-5.2 is the first open-weight model that makes Opus look expensive. Full 8-benchmark comparison from Z.AI & LLM Stats data.

· 10.8K views · Abdeladim Fadheli

GLM-5.2 vs GPT-5.5: The MIT Open-Weight Model That Beats OpenAI's Flagship on Pro

GLM-5.2 (62.1% Pro, MIT open-weight, $4.40/1M) beats GPT-5.5 (58.6%, $30/1M) on SWE-bench Pro by 3.5 points at 1/7 the cost. Also leads HLE w/tools (+2.5), FrontierSWE (+1.8), MCP Atlas (+1.7). GPT-5.5 counters with DeepSWE (+23.8), TB 2.1 (+3.0). Full comparison with 12 shared benchmarks from Z.AI/VentureBeat data.

· 6.8K views · Abdeladim Fadheli

Kimi K2.6 vs GLM-5.1: The Open-Weight Coding Showdown (May 2026)

0.2 points apart on SWE-bench Pro. Both open-weight. Both released in April 2026. But the similarities end there. Kimi K2.6 leads on coding (+11.1), agentic tasks (+7.8), and vision. GLM-5.1 counters with pure MIT license, Code Arena #3, and Claude Code compatibility. Here's the definitive comparison.

· 8.1K views · Abdeladim Fadheli

DeepSeek V4 Pro Max vs GLM-5.1: Chinese Open-Weight Coding Models

DeepSeek V4 Pro Max ($0.87/1M, MIT, 1.6T/49B) vs GLM 5.1 ($3.08/1M, MIT, 754B/40B). GLM leads SWE-bench Pro (58.4% vs 55.4%) & HLE w/tools. V4 Pro Max dominates 12/14 benchmarks. 3.5× price gap, 5× context gap. Updated June 9, 2026.

· 10.3K views · Abdeladim Fadheli