# Tagged open-llms

> Announcements and real-world deployments of AI, checked against their sources and scored: open-weights releases, decision models in the wild, and what is actually in use.

- [Liquid AI releases LFM2.5-24B-A2B, a 24B on-device reasoning MoE with 2B active](https://shipped.anth.us/open-weights/liquidai-lfm2-5-24b-a2b/index.md): LFM2.5-24B-A2B is a 24B-parameter reasoning model with about 2.45B active, built for agents on-device, under the LFM1.0 licence. (2026-10-12)
- [Reflection releases Beam, a 501B open-weights MoE under Apache 2.0](https://shipped.anth.us/open-weights/reflection-beam-1-0-501b-a23b/index.md): Beam is Reflection's first open model: 501B total and 23B active parameters, 1M-token context, under Apache 2.0. (2026-10-07)
- [Aleph Alpha releases Kolibri 1, a 78B German and English reasoning MoE under Apache 2.0](https://shipped.anth.us/open-weights/aleph-alpha-kolibri-1/index.md): Kolibri 1 is a 78B mixture-of-experts reasoning model with 3.46B active parameters, tuned for German and English, under Apache 2.0. (2026-10-03)
- [Xiaomi MiMo releases MiMo-V2.6-Pro-RL, a 1.02T omnimodal MoE under MIT](https://shipped.anth.us/open-weights/xiaomimimo-mimo-v2-6-pro-rl/index.md): MiMo-V2.6-Pro-RL is the flagship of the MiMo-V2.6 series: 1.02T total, 42B active, 1M context, text, image, video and audio in. (2026-09-21)
- [JetBrains releases Mellum2.1 Thinking, a 12B coding MoE with 2.5B active, under Apache 2.0](https://shipped.anth.us/open-weights/jetbrains-mellum2-1-12b-a2-5b-thinking/index.md): Mellum2.1 Thinking is a 12B mixture-of-experts reasoning model with 2.5B active, retrained mostly with reinforcement learning on real repositories. (2026-09-20)
- [Yandex releases AliceAI-Foundation-80B-A3B-Base, an Apache 2.0 base MoE for Russian and English](https://shipped.anth.us/open-weights/yandex-aliceai-foundation-80b-a3b-base/index.md): AliceAI-Foundation-80B-A3B-Base is an 80B base model with 3B active parameters and 262,144-token context, trained from scratch. (2026-09-12)
- [DeepSeek releases V4.1-Flash, a multimodal MoE with a much smaller KV cache, under MIT](https://shipped.anth.us/open-weights/deepseek-ai-deepseek-v4-1-flash/index.md): DeepSeek-V4.1-Flash is a 552B-backbone multimodal MoE with 1M-token context and a 890-byte-per-token KV cache, under MIT. (2026-09-10)
- [OpenBMB releases MiniCPM5-2B, a dense 2B model with open training data, under Apache 2.0](https://shipped.anth.us/open-weights/openbmb-minicpm5-2b/index.md): MiniCPM5-2B is a dense 2B on-device model for coding, tool use and long context, released with its UltraData training sets. (2026-09-06)
- [Z.ai releases GLM-5.3, a 753B open-weights model aimed at coding and cyber tasks](https://shipped.anth.us/open-weights/zai-org-glm-5-3/index.md): GLM-5.3 reuses the GLM-5.2 base with new post-training. The weights are public under a custom glm-5.3 licence. (2026-08-25)
- [Qwen releases Qwen3.8-27B, a dense 27B vision-language model under Apache 2.0](https://shipped.anth.us/open-weights/qwen-qwen3-8-27b/index.md): Qwen3.8-27B is a dense 27B model with a vision encoder, 262,144-token native context and switchable thinking, under Apache 2.0. (2026-08-05)

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