# Tagged multimodal

> 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.

- [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)
- [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)
- [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)
- [Moonshot releases Kimi K3, a 2.8T-parameter open-weights multimodal model](https://shipped.anth.us/open-weights/moonshotai-kimi-k3/index.md): Kimi K3 is a 2.8T mixture-of-experts model with 104B active parameters and 1M-token context, under the Kimi K3 License. (2026-06-13)
- [StepFun releases Step 3.7 Flash, a 198B vision-language MoE with 11B active parameters](https://shipped.anth.us/open-weights/stepfun-ai-step-3-7-flash/index.md): Step 3.7 Flash is a 198B sparse MoE vision-language model with about 11B active parameters and 256k context, under Apache 2.0. (2026-05-23)
- [Google DeepMind releases Gemma 4, with a 31B dense model under Apache 2.0](https://shipped.anth.us/open-weights/google-gemma-4-31b-it/index.md): Gemma 4 comes in five sizes from E2B to 31B, with multimodal input, 256K context on the larger models and an Apache 2.0 licence. (2026-03-11)