Tutorials, deep dives and product notes — built for developers.
Qwen 3.7 Max — Alibaba's "Agent Frontier" — challenges GPT-5.5 and Claude Opus 4.8 with 60.6% SWE-bench Pro, 91.6% LiveCodeBench, and a record-breaking 53.5% SciCode. At $7.50/1M output with Anthropic API compatibility. Full benchmark comparison, Tetris bot real-world test, and the verbosity tax explained.
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.
A heavy AI coding user burning 200M output tokens/month on GPT-5.5 pays $6,000/month. The same workload on DeepSeek V4 Pro costs $174. The benchmarks gap? 3.2 points on SWE-bench Pro. Here's how to build a coding stack that gives you 95% of flagship performance for 3% of the cost.
Claude Fable 5 is the new #1 for game development (80.3% Pro, 88.0% Terminal-Bench, 85.0% OSWorld). Unity C#, Godot, Roblox, Unreal C++ — updated June 9, 2026.
Claude Fable 5 is the new Python coding king (80.3% SWE-bench Pro). Updated June 9, 2026 with full Fable 5 benchmarks.
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.
Which frontier AI model tells the truth? 🆕 Claude Fable 5 debuts at #1 on AA-Omniscience (40, 61% accuracy) but with accuracy-driven strategy — higher hallucination than Opus 4.8. GPT-5.4 Mini leads Vectara (5.5%). The reasoning paradox: thinking mode amplifies hallucination 2-3×. Full 19-model ranking.
A comprehensive, data-driven comparison of Claude Opus 4.8 and GPT-5.5 — the two frontier AI models battling for supremacy in May 2026. Benchmark deep-dives, pricing analysis, DeepSWE controversy, and practical guidance on which model to use.