<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Open-Weights on Best of AI</title><link>https://bestofai.io/tags/open-weights/</link><description>Recent content in Open-Weights on Best of AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 04 Nov 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://bestofai.io/tags/open-weights/index.xml" rel="self" type="application/rss+xml"/><item><title>AstaBrief 8B</title><link>https://bestofai.io/models/astabrief-8b/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/astabrief-8b/</guid><description>&lt;p&gt;AstaBrief 8B turns a research question and a set of papers into a cited report. Ai2 also added a Fast mode in Asta that uses it.&lt;/p&gt;</description></item><item><title>Beam</title><link>https://bestofai.io/models/beam/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/beam/</guid><description>&lt;p&gt;Beam is Reflection&amp;rsquo;s open sparse mixture-of-experts model, with 501B total and 23B active parameters under Apache 2.0. It is built for coding, reasoning, and agentic work.&lt;/p&gt;</description></item><item><title>EmbeddingGemma 2</title><link>https://bestofai.io/models/embeddinggemma-2/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/embeddinggemma-2/</guid><description>&lt;p&gt;EmbeddingGemma 2 puts text, code, image, video, and audio into one embedding space. It has 740M parameters and is small enough to run on-device.&lt;/p&gt;</description></item><item><title>Kimi K3.1 Pro</title><link>https://bestofai.io/models/kimi-k3-1-pro/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/kimi-k3-1-pro/</guid><description>&lt;p&gt;Moonshot AI released Kimi K3.1 Pro on October 23, 2026. It is a 3T-class model with a 1M-token context window, aimed at coding, 3D, financial research, and agentic tasks. A faster Highspeed variant launched the same day.&lt;/p&gt;</description></item><item><title>Kolibri</title><link>https://bestofai.io/models/kolibri/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/kolibri/</guid><description>&lt;p&gt;Kolibri is Aleph Alpha&amp;rsquo;s open mixture-of-experts model for English and German, with 78B total and 3B active parameters and up to 1M tokens of context. It is aimed at regulated work.&lt;/p&gt;</description></item><item><title>LFM3</title><link>https://bestofai.io/models/lfm3/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/lfm3/</guid><description>&lt;p&gt;LFM3 is Liquid AI&amp;rsquo;s new model family built on a shared backbone. The first release is six 2B-class models covering text, vision, audio, omni, and decision tasks.&lt;/p&gt;</description></item><item><title>Ling-3.1-flash</title><link>https://bestofai.io/models/ling-3-1-flash/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/ling-3-1-flash/</guid><description>&lt;p&gt;Ling-3.1-flash is a hybrid reasoning model from InclusionAI with 560B total and about 25B active parameters and a 1M-token context. It targets agent, search, office, and coding tasks.&lt;/p&gt;</description></item><item><title>Mellum2.1</title><link>https://bestofai.io/models/mellum2-1/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/mellum2-1/</guid><description>&lt;p&gt;JetBrains released Mellum2.1 on October 8, 2026, an open 12B mixture-of-experts model for coding agents. It was trained with reinforcement learning in coding environments.&lt;/p&gt;</description></item><item><title>Muse Spark Open</title><link>https://bestofai.io/models/muse-spark-open/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/muse-spark-open/</guid><description>&lt;p&gt;Muse Spark Open is a natively multimodal mixture-of-experts model from Meta, with 816B total and 42B active parameters and a 1M-token context window. It targets coding and agentic work.&lt;/p&gt;</description></item><item><title>Nemotron 3.5 Bolt E4B</title><link>https://bestofai.io/models/nemotron-3-5-bolt-e4b/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/nemotron-3-5-bolt-e4b/</guid><description>&lt;p&gt;Nemotron 3.5 Bolt E4B is a small model that fits in 4GB, built for conversational agents with multi-turn tool use and configurable reasoning. It has a 64K context window.&lt;/p&gt;</description></item><item><title>Nemotron 3.5 Transcribe</title><link>https://bestofai.io/models/nemotron-3-5-transcribe/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/nemotron-3-5-transcribe/</guid><description>&lt;p&gt;Nemotron 3.5 Transcribe follows instructions for transcription, translation, and speaker attribution across 40 languages, and handles recordings up to an hour long.&lt;/p&gt;</description></item><item><title>Qwen3.6 27B</title><link>https://bestofai.io/models/qwen3-6-27b/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/qwen3-6-27b/</guid><description>&lt;p&gt;Qwen3.6 27B is a 27B-parameter model from Alibaba&amp;rsquo;s Qwen team, released October 21, 2026.&lt;/p&gt;</description></item><item><title>WeVisOne-VL</title><link>https://bestofai.io/models/wevisone-vl/</link><pubDate>Wed, 04 Nov 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/wevisone-vl/</guid><description>&lt;p&gt;WeVisOne-VL is a vision-language model from Tencent in 2B and 4B sizes. It handles detection, localization, counting, OCR, segmentation, and matting.&lt;/p&gt;</description></item></channel></rss>