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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Meta's 30B Agent Weights Fit a 24GB GPU
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Claude's Math Result Needs a Reproducibility Gate
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Qwen3.8-Max Preview Needs Nine H200s
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llama.cpp Cuts DeepSeek V4 Prefill by 4.92 Seconds
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Onton's Search Benchmark Earns a Pilot, Not a Switch
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Inkling-Small Makes Control a 23% Premium
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Multiverse Raises $570M to Compress the AI Bill
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Solar Open 2 Puts a 250B Agent Model on Two H200s
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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