タグ: Open-source model

GLM 5.2 arrived on June 13, 2026, and it lands with three headline numbers: a 744-billion-parameter Mixture-of-Experts design, a 1-million-token context window, and an MIT license that makes the weights free for anyone to download and run. Chinese AI lab Zhipu AI (operating as Z.ai) shipped it as a coding-first frontier model, and the timing was not subtle. It went public just two days after the US ordered Anthropic to cut foreign access to its Fable 5 and Mythos 5 models. This article breaks down what GLM 5.2 actually is, how it differs from the GLM 5.1 release in April, what the 1M-token context means in practice, and where it […]

Moonshot AI released Kimi K2.7 Code on June 12, 2026, and it is one of the largest open-weight coding models you can download right now. It packs 1 trillion total parameters, activates 32 billion of them per token, runs a 256K-token context window, and ships with open weights on Hugging Face under a Modified MIT license. The headline pitch is efficiency, with Moonshot claiming the model uses about 30% fewer reasoning tokens than the previous K2.6 while scoring higher on its coding tests. This is a coding-first, agentic model, built to plan, edit files, run tools, and debug across many steps rather than to chat. That focus matters, because the […]

The city government of Rio de Janeiro just released a frontier-class open AI model. It is built to go head to head with the best open systems on the planet. Rio 3.5 Open 397B comes from IplanRIO, the municipal IT company that runs Rio de Janeiro’s digital services. On its own benchmarks it edges out Alibaba’s Qwen 3.7 Plus on several tests. That is not a typo. A city hall shipped a 397-billion-parameter model under a fully open license. Here is the honest version of the story. Rio 3.5 Open 397B is not built from scratch. It is fine-tuned from Qwen 3.5-397B-A17B, Alibaba’s open base model, with a new reasoning […]

GreenPT runs every conversation on 100% renewable energy inside European data centers, and it claims a 40% lower CO₂ footprint than US hyperscalers. That single promise, sustainable AI chat that keeps your data in the EU, is the whole pitch behind this growing ChatGPT alternative from the Netherlands. This GreenPT review covers what it is, what it costs, whether there is a free version, how the API works, and whether the green claims actually hold up. You will get the exact pricing in euros, the model lineup behind the chat, and an honest look at where the sustainability story gets complicated. By the end you will know if GreenPT fits […]

A Chinese AI lab just released a free model that scores 80.8 on SWE-Bench Verified and 75.3 on Terminal-Bench 2.1, putting it in the same league as GPT-5.5 and Claude Opus 4.7 on real coding work. It is called Nex-N2-Pro, it dropped on June 2, 2026, and it costs nothing to download. The model comes from Nex AGI, ships under a permissive Apache 2.0 license, and is built specifically for agentic tasks like writing code, calling tools, and running long, multi-step workflows on its own. This is one of the clearest signs yet that open-source AI has caught up with the frontier on the tasks developers actually care about. In […]

On June 4, 2026, NVIDIA released Nemotron 3 Ultra, a fully open 550 billion parameter reasoning model built specifically for long running agents. According to benchmark platform Artificial Analysis, it is now the most capable open model to come out of a US lab, scoring 48 on the Artificial Analysis Intelligence Index. That puts it well ahead of every other open American model and lands it in what Artificial Analysis calls the most attractive quadrant on its chart, combining high intelligence with fast output speed. Microsoft entered the in-house model race days earlier with its MAI lineup at Build. What makes Nemotron 3 Ultra different is the design goal. NVIDIA […]

On June 1, 2026, MiniMax officially released M3, the Shanghai lab’s next flagship language model, and it shipped exactly as promised. The model that spent weeks as an architecture teaser is now live, and the pitch turned out to be real: frontier-level coding, a 1-million-token context window, and native multimodality, all in one open-weight model. MiniMax calls it the first and only open-weight model to bring all three together. The architecture story we covered before launch held up. M3 is built on the new MiniMax Sparse Attention (MSA) design, the same sparse attention the company had killed in its M2 generation and brought back for M3. You can use it […]

Kimi K2.6 is the new open-source AI model from China’s Moonshot AI, released on April 20, 2026. It just tied GPT-5.5 on the toughest coding benchmark in the industry, at roughly 80% less per million tokens. With 1 trillion total parameters, 32 billion active per token, and a 256K-token context window, K2.6 is now the #1 open-weight model on the Artificial Analysis Intelligence Index. In this article you will find what Kimi K2.6 actually does well, where it still loses to Claude Opus 4.7 and GPT-5.5, exactly how much it costs, and the simplest ways to use it on a Mac without renting your own GPU. We will also cover […]

The five open-source AI models worth running on an M5 Mac in April 2026 are Mistral 7B (16 GB), Qwen 3.5 9B (24 GB), DeepSeek R1 Distill Qwen 14B (24 GB), Gemma 4 26B-A4B (32 GB), and Qwen 3.5 35B-A3B (32 GB+). Minimum unified memory is 16 GB, the sweet spot is 24 GB, and anything above 30B parameters needs 32 GB or more. Frontier open-source models like GLM-5 or the full DeepSeek R1 need hundreds of GBs of VRAM, so skip those entirely. The five below are what actually fits. Apple’s own MLX benchmarks show the M5 chip delivering a 3 to 4 times speedup on time-to-first-token compared to […]

MiniMax M2.5 scores 80.2% on SWE-Bench Verified, runs at 100 tokens/sec, and costs $1/hour. Here’s what we know — and what’s still unverified.