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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Kimi K3 Makes Frontier AI a $0.57 Input Bet
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The Open-Weight Coalition Doubled to 50 Members
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Grok 4.5 Makes Token Efficiency the New Benchmark
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America Just Put AI Models on a Leash
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Google's DiffusionGemma Breaks the One-Token-at-a-Time Rule
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Microsoft builds its own brain, away from OpenAI
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DeepSeek V4: Open-Source Rival Reclaims the Arena
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GPT-5.5 Lands: OpenAI's Bid for the AI Super App
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Stanford AI Index 2026: Speed Outpaces Guardrails
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Claude Opus 4.7 Reclaims the AI Coding Crown