Open Source LLMs

DiffusionGemma 26B-A4B is Google’s first open-weight text-diffusion LLM — a 25.2B MoE built on Gemma 4 that generates text in parallel for up to 4x faster output.

Cohere North Mini Code 1.0 is an open-weight 30B MoE coding model (3B active, 256K context, Apache 2.0) built for agentic software engineering. Specs, benchmarks, access.

Qwen3.7-Max is the closed flagship with higher vendor benchmarks and a 1M context; Kimi K2.7 Code is the open-weights, cheaper agentic specialist. We compare access, benchmarks, pricing, local feasibility, and which to use for autonomous coding.

Ornith 1.0 is a free, MIT-licensed, self-hostable coding model. Opus 4.8 is the closed frontier flagship. A benchmark-grounded, harness-honest comparison of where each wins on agentic coding in 2026.

A realistic, no-hype guide to running Qwen 3.6 27B locally as a Claude Code alternative: benchmarks vs Opus, the hardware and quant you actually need, how to wire it in, where it holds up, and what a hybrid setup actually saves you.

DeepSeek V4 and Qwen 3.7 post near-identical coding benchmarks, but only one is actually open. A specifics-first comparison of architecture, local-run feasibility, API pricing, and license for developers choosing a coding model in 2026.

Two new MIT open-weights coding models shipped a day apart in June 2026. We compare architecture, coding benchmarks, local hardware, and API pricing for Ornith 1.0 vs GLM 5.2 — with an honest, no-hype verdict on which to pick.

Zhipu Z.ai shipped GLM 5.2 today on every GLM Coding Plan tier with a usable 1M-token context window. Standalone API, the Z.ai chatbot, and the MIT open weights are arriving next week. No benchmarks yet — here's what's confirmed, what's not, and how it fits next to GLM-5.1.

JetBrains released Mellum2, a 12B Mixture-of-Experts model that activates just 2.5B parameters per token and ships under Apache 2.0. Here's what it is, where it fits in an AI stack, and how to put it to work.

A practical, size-tier-by-tier comparison of Google's Gemma 4 and Alibaba's Qwen 3.5 — benchmarks, coding, reasoning, multilingual, and how to run each locally in 2026.

Qwen 3.7 weights are not on Hugging Face yet (May 20, 2026). Here are the honest ways to use it today, and exactly what to run locally instead.

Qwen 3.6 is shipping with open weights today. Qwen 3.7-Max was announced May 20 with previews live but no weights yet. A grounded side-by-side.

MiniMax M3 is not released as of May 2026. Here's what's actually shipping (M2.7), where the 'M3.0 released' claim came from, and how to verify it.

Is Qwen 3.7 released? As of May 2026 it isn't — no weights, API, or benchmarks. Here's what's real, what's only rumored, and what to run today.

SubQ claims to be the first fully subquadratic LLM with a 12M-token context window. Here's what's verified, what isn't, and why the architecture matters.

ZAYA1-8B is an Apache-2.0 MoE reasoning model with 760M active params, pretrained 100% on AMD MI300X GPUs with zero NVIDIA in the loop.

Kimi K2.6 vs DeepSeek V4 vs GLM-5.1 for coding in 2026 — sourced benchmarks, real cost-per-task, self-host and license comparison, plus a clear pick-X-if decision block.

A single tiered table for DeepSeek V4 Pro vs Flash VRAM at every quantization (FP8, FP4+FP8, INT4, Q2) — triangulated across official and community sources.

What OmniCoder 9B is, its lineage and license, vendor-reported benchmarks, the full GGUF quant table, and step-by-step Ollama and llama.cpp setup.

Run Qwen 3.6 locally: 27B dense vs 35B-A3B MoE explained, VRAM tables per quant, and copy-paste Ollama, llama.cpp, vLLM, and MLX commands.

Ant Group's inclusionAI shipped Ring-2.6-1T, a trillion-parameter open-weights reasoning MoE. What it is, the vendor benchmarks, how it stacks up against Kimi K2.6 and DeepSeek V4, and whether you can run it.