Xiaomi MiMo releases MiMo-V2.6-Pro-RL, a 1.02T omnimodal MoE under MIT
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.
Tagged multimodal
DeepSeek releases V4.1-Flash, a multimodal MoE with a much smaller KV cache, under MIT
DeepSeek-V4.1-Flash is a 552B-backbone multimodal MoE with 1M-token context and a 890-byte-per-token KV cache, under MIT.
Qwen releases Qwen3.8-27B, a dense 27B vision-language model under Apache 2.0
Qwen3.8-27B is a dense 27B model with a vision encoder, 262,144-token native context and switchable thinking, under Apache 2.0.
Moonshot releases Kimi K3, a 2.8T-parameter open-weights multimodal model
Kimi K3 is a 2.8T mixture-of-experts model with 104B active parameters and 1M-token context, under the Kimi K3 License.
StepFun releases Step 3.7 Flash, a 198B vision-language MoE with 11B active parameters
Step 3.7 Flash is a 198B sparse MoE vision-language model with about 11B active parameters and 256k context, under Apache 2.0.
Google DeepMind releases Gemma 4, with a 31B dense model under Apache 2.0
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.