#AI benchmarks

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.

· 1.2K 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.

· 1.4K views · Abdeladim Fadheli

Gemini 3.6 Flash vs GPT-5.6 Terra: Complete Benchmark Comparison (July 2026)

Complete benchmark comparison of Gemini 3.6 Flash vs GPT-5.6 Terra. Every score sourced from official OpenAI and Google DeepMind model pages. Charts, radar plots, pricing analysis, and a clear verdict on which model to choose for your workload.

· 2.8K views

Gemini 3.6 Flash vs Claude Sonnet 5: Complete Benchmark Comparison (July 2026)

Complete benchmark comparison of Gemini 3.6 Flash vs Claude Sonnet 5. Every score sourced from official model cards and system cards. Charts, radar plots, pricing analysis, and a clear verdict on which model to choose for your workload.

· 1.9K views

Hy3 vs DeepSeek V4 Pro: Open-Weight Showdown — Tencent's Dark Horse Edges Out DeepSeek

Tencent's 295B MoE Hy3 just took the fight to DeepSeek's 1.6T V4 Pro — and won on 12 of 18 shared benchmarks. Pricing is close: Hy3 cheaper on fresh input/output, V4 Pro's disk caching is 16.5× cheaper on repeated contexts. Full breakdown.

· 5.5K views · Abdeladim Fadheli

The AI Coding Revolution: Tracking 14 Months of Benchmark Progress (March 2024 – May 2026)

From 33.4% Verified to 93.9% — Fable 5 breaks 90%. GPT-5.5's 47-day Terminal-Bench reign ends. Track 27 months of AI coding progress with new charts. Updated June 9, 2026.

· 1.3K views · Abdeladim Fadheli

The Context Window Lie: How Well AI Models Actually Use 1M Tokens in 2026

Every AI model claims a 1M-token context window. But only GPT-5.5 and Claude Opus 4.6 actually use it. We analyzed MRCR v2, NIAH-2, and Graphwalks to show the 60-point gap between the best and worst "1M-capable" models — and which one to trust for long-context coding.

· 6.3K views · Abdeladim Fadheli