Models & Open Source
Model capability, architecture, benchmarks, price-performance, licensing, provenance, and workload fit.
Model coverage compounds only when it helps readers make a decision. This topic compares frontier and open systems through capability, architecture, benchmarks, price-performance, licensing, provenance, routing, and deployment fit.
Release news earns a place when it provides durable evidence about what a model can do, where it fails, and which workloads justify switching. Vendor and version names remain useful metadata, but the navigation stays organized around evaluation and operator choice rather than a separate archive for every model family.
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Anthropic Leaked Its Own Secret. Markets Flinched.
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A Trillion Parameters Walked In. Nobody Knows Who Sent Them
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Meta's $135 Billion AI Gamble Is Already Unraveling
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Five Models, One Month: China's AI Labs Declare War
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The Agentic Shift: Gemini 3.1 Pro, Opus 4.6, and Codex 5.3
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Opus 4.6: Anthropic's Sharpest Weapon Yet
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Kimi K2.5: The Benchmaxxing Debate and China's AI Surge
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GPT‑5.2 Codex: The CLI that still speaks chat
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Gemini 3 Flash: Pro-Grade Brains at Warp Speed
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GPT‑5.2: Reliability as a Product