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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Spark X2.5 Doubles Output Cost, Not Every Bill
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K2 Horizon's Bigger Small Model Buys Two Points
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Ai2 Says 90% of Your Eval Questions Are Waste
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A 2B Model Pretrained on Gamer GPUs for $6,891
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OpenClaw Shipped 330 Merged PRs a Day for 7 Weeks
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Tencent's Hy4 Charges 5x GLM for a 2% Edge
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$26.5B Chases 6% of Businesses on Open Weights
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GLM-5.3-Flash Sells Opus-Class Coding at 1/42
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DeepSeek's API Runs an 82.9% Gross Margin
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Hugging Face Fields $13B Bids for AI's Switchboard