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Models2026-09-16 · source-backed
Mozilla's State of Open Source AI reports a 3-point Artificial Analysis Intelligence Index gap at 60% of the price and a 92-Elo gap on GDPval-AA v2 professional knowledge work, with a stark long-context split (Gemini 3.1 Pro 89% vs DeepSeek V4-Pro 41% at 1M tokens). The top technical comment in the r/LocalLLaMA thread disputes the aggregation for still folding in GSM8K, HellaSwag and plain MMLU in 2026, and for ranking GPT-5.2 above GLM 5.2. Read the component metrics, not the index.
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Two data points that tell the same story. First, Value Add Pulse counts four frontier launches in 30 days: Gemini 3.5 Pro, Grok 5, Anthropic's Fable 5 and Mythos 5, plus open-weight GLM-5.2 and Kimi K2.7. The model-layer moat compressed from quarters to weeks. Second, TechCrun...
Zhipu's GLM-5.1 ranked third on Code Arena, jumping 90+ points over its predecessor GLM-5 and landing ahead of GPT-5.4 and Gemini 3.1 Pro. Two separate r/LocalLLaMA threads (491 upvotes and 233 upvotes) confirm this isn't just a benchmark curiosity. Practitioners are paying at...
An open-weight model just beat every closed frontier model on the benchmark builders actually care about. Z.AI (formerly Zhipu AI) dropped GLM-5.1, a 754-billion parameter mixture-of-experts model with 40 billion active parameters. The SWE-Bench Pro score: 58.4%. That's above...
Zhong, Raghunathan, Laidlaw and Steinhardt fed 280 identities through Claude Code across four tasks. Against recognized safety researchers versus general users, Claude dropped behavioral confidence 1.4pp, increased reasoning usage 4.0pp and graded 0.11 points harder. Being tol...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
This is a supply-chain fact, and most people are still treating it as a geopolitics argument. Sequoia published "America's Open-Model Paradox" on July 24 with the number that reframes the whole conversation: Qwen's share of open-model fine-tunes went from 1% in January 2024 to...
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