open weights

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Strata runs Qwen3.8-Flash-Next on a 12GB gaming PC

strataqwenqwen3-8-flash-nextmoelocal-inference+2+3

Niko1221/Strata streams a ~125B-parameter MoE from RAM and SSD into a 12GB consumer GPU and serves it as a local OpenAI-/Anthropic-compatible API.

Mistral opens a public preview of Mistral Large 4, a 1.05T-parameter open-weight model trained in Europe

mistralmistral-large-4open-weightsmoeeurope+5+6

Mistral puts Mistral Large 4 ("le Chonk") into public preview: a 1.05T-parameter open-weight MoE served from EU datacenters, with weights promised by month's end.

Cohere North Small Translate: 218B MoE translation model

coherenorth-small-translatemachine-translationmoeopen-weights+1+2

Cohere's first North-family translation model is a 218B/25B-active MoE under CC BY-NC 4.0. Cohere-run WMT26 tests score it 83.6; the eval method is GPT-5.6-Sol as judge.

Meta Muse Glimmer 30B: Apache agentic multimodal model

metamuse-glimmeropen-weightsmultimodallocal-llm+1+2

Meta's Muse Glimmer is a 30B Apache-2.0 multimodal model distilled from Muse Spark that fits a 24GB consumer GPU with 4-bit quantization. Architecture, benchmarks, and DFlash.

Moonshot AI Kimi K3: 2.8T open-weights MoE model

moonshot-aikimikimi-k3open-weightsmoe+3+4

Kimi K3 is a 2.8T-parameter open-weights MoE model built on Kimi Delta Attention and Attention Residuals, with 1M-token context and native vision. Weights to follow by July 27.

DiffusionGemma: 1,000+ tokens/sec open-weights text gen

google-deepmindgemmadiffusiongemmatext-diffusionopen-weights+10+11

Google DeepMind's June 10, 2026 release: a 26B/3.8B text-diffusion model denoising 256 tokens in parallel; ~4x faster than AR on a single H100, Apache 2.0, explicitly experimental.