Tutorials, deep dives and product notes — built for developers.
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.
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.
Claude Opus 5 vs GPT-5.6 Sol: Opus 5 leads 9 of 12 benchmarks including SWE-bench Pro (+14.6 pts) and ARC-AGI-3 (3.9× better). Sol counters with Terminal-Bench 2.1 (91.9% Ultra) and DeepSWE. Opus 5 costs 17% less on output ($25 vs $30/1M). Full comparison with radar charts, pricing, and verdict.
Kimi K3 vs GPT-5.6 Sol: Sol leads 6 of 9 shared benchmarks including DeepSWE and Terminal-Bench 2.1. K3 wins FrontierSWE, BrowseComp, and AA-Briefcase at 40% lower cost. Sol Ultra hits 91.9% on Terminal-Bench. Full comparison with radar charts and pricing.