UC Berkeley’s Sky Computing Lab built LEANN, an open-source vector index that stores almost no embeddings. The LEANN vector ...
Liquid AI LFM3 ships 6 open-weight 2B-class models; LFM3-1.7B averages 49.37 across 29 self-reported benchmarks, above ...
OpenAI’s GPT-6.1 Terra brings fast computer use at $1/$5 per million tokens, scoring 60.0% on Agents’ Last Exam.
Mirendil Fern 0.1 is a from-scratch coding model with a 10M-token context window, built for agentic AI research.
Nace AI’s Drex for Search reports 92.05% on BrowseComp-Plus with GPT-5, using only 12.6 search calls per question.
Baidu open-sources Unlimited OCR 2, an MIT-licensed 3B OCR model scoring 77.1 on MarathonDocBench for hundred-page document parsing.
LLM Semantic Router released d3-ultra, a 26.09B Apache-2.0 multimodal decision model scoring 87.2 on its own SR-Text benchmark.
Performance: 66.7% average on 5 DNA benchmarks, best of every open model tested (self-reported). Best: 74.9% on BioReason ...
TokenGate adds learned token pruning to existing LLMs, cutting long-context prefill time up to 11.3x and memory 3.4x.
Microsoft open-sourced Agensh, a decentralized multi-agent harness that scales to 1,024 agents, lifting Pandoc pass rates to ...
Moonshot AI’s Kimi K3.1 Pro is a 2.8T-parameter open-weight model with 1M context, scoring 65.7% on Terminal-Bench 4.0.
IBM Granite Speech 5.0 2B, an Apache 2.0 ASR model, ranks #2 on Open ASR Leaderboard at 5.68%. IBM speech recognition model ...
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