Tutorials, deep dives and product notes — built for developers.
Across all six effort levels, GPT-6 Sol scores within a point of GPT-5.6 Sol and costs about half as much per task. Same-harness data on both, the full effort ladder, where coding improved, where knowledge work regressed, and the November price cliff.
Gemini 3.8 Flash review: DeepSWE v1.1 (73.7%), Terminal-Bench 2.1 (89.4%), full benchmark comparison vs Claude Opus 5 & GPT-5.6 Sol, real Antigravity builds with live links, and 3.8 Flash Cyber breakdown.
GPT‑5.6 Sol, Terra, and Luna compared across official coding, agentic, professional, science, computer-use, long-context, academic, tool-use, and cybersecurity benchmarks—with pricing tables, charts, radar, and a practical routing guide.
GPT-5.6 Sol vs Claude Fable 5: Sol leads on agentic coding and price; Fable leads SWE-bench Pro and aggregate intelligence. Rich charts, radar, cost math, and sourced guidance.
GPT-5.6 Sol vs Terra: a detailed family comparison across pricing, 1M context, coding, professional work, science, computer use, charts, radar, and a practical routing strategy.
GPT-5.6 Sol vs Claude Opus 4.8: detailed comparison across pricing, caching, 1M context, coding and professional benchmarks, long context, MCP Atlas, graphs, radar, and routing guidance.
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.
Cut AI coding agent costs by 80-97%. DeepSeek V4 Pro cache hits cost $0.003625/1M with 89.9% hit rate. Tiered model stacks save 94%. Batch APIs, structured prompts, iteration limits, and more — with a real before/after comparison: $8,500 to $235/month.
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.