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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A 20-Person Startup Raised $500M to Build God.
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OpenAI Just Built a Drug Discovery Machine
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This AI Rewrote Itself 100 Times. Then They Open-Sourced It.
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Gemma 4 Beat Models 20x Its Size. Google Gave It Away.
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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