Liquid AI releases LFM2.5-24B-A2B, a 24B on-device reasoning MoE with 2B active
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.
Tagged mixture-of-experts
Reflection releases Beam, a 501B open-weights MoE under Apache 2.0
Beam is Reflection's first open model: 501B total and 23B active parameters, 1M-token context, under Apache 2.0.
Aleph Alpha releases Kolibri 1, a 78B German and English reasoning MoE under Apache 2.0
Kolibri 1 is a 78B mixture-of-experts reasoning model with 3.46B active parameters, tuned for German and English, under Apache 2.0.
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.
JetBrains releases Mellum2.1 Thinking, a 12B coding MoE with 2.5B active, under Apache 2.0
Mellum2.1 Thinking is a 12B mixture-of-experts reasoning model with 2.5B active, retrained mostly with reinforcement learning on real repositories.
Yandex releases AliceAI-Foundation-80B-A3B-Base, an Apache 2.0 base MoE for Russian and English
AliceAI-Foundation-80B-A3B-Base is an 80B base model with 3B active parameters and 262,144-token context, trained from scratch.
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.
Z.ai releases GLM-5.3, a 753B open-weights model aimed at coding and cyber tasks
GLM-5.3 reuses the GLM-5.2 base with new post-training. The weights are public under a custom glm-5.3 licence.
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.