Tutorials, deep dives and product notes — built for developers.
GPT-6 Luna vs GPT-5.4 Mini compared: rate card, context windows, knowledge cutoffs, and the shared Artificial Analysis harness where Luna leads the Intelligence Index 37 to 24 at 6.4x lower cost per task, while mini wins on speed. Vendor scorecard gaps stated honestly.
GPT-6.1 Sol replaced GPT-6 Sol after seven days: +4 index points, +12 on Terminal-Bench 4.0, and a cache rate halved to $0.10. It also dropped the "none" reasoning setting, uses 10-30% more output tokens, and is measurably slower.
GPT-6.1 Sol matches Claude Opus 5.5's default index score for 46% less per task and ties it at low effort for 76% less — then stops at index 52, below every Opus effort above default.
OpenAI's cheapest tier cut its price 61%, cut its hallucination rate from 93% to 77%, and lost a point on the independent index. Same-harness data on both generations, where Luna regressed, where it improved, and the ten-week price collapse.
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.
OpenAI shipped GPT-6 Sol 90 minutes after Claude Opus 5.5, at half the token price. Artificial Analysis ran both on the same tests: Sol is cheaper to any index score up to about 44, then runs out of headroom. Every benchmark, both effort ladders and the real bill.
Opus 5.5 matches GPT-6 Astra on Terminal-Bench 4.0 for roughly 40% of the cost per task, with 5x cheaper cache reads. Astra keeps uncontested leads in science, maths and gated offensive security — and OpenAI says it is harder to monitor.
OpenAI's GPT-6 Astra vs Anthropic's Claude Fable 5.1: every benchmark, the independent indices, real-world head-to-heads, pricing deep dive, and who actually wins your workload.
GPT-6 Astra review: every benchmark, what people built, pricing, and the Critical cybersecurity rollout — with sources.
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.
A data-backed comparison of Gemini 3.7 Flash and GPT-5.6 Terra across benchmarks, pricing, speed, context, and tooling — Terra wins on coding depth, Gemini wins on speed and economics.
A data-backed comparison of Grok 4.6 and GPT-5.6 Sol across benchmarks, pricing, speed, latency, and context window — with charts and a clear verdict on which to choose.