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.
The AI that actually shipped
Beam is Reflection's first open model: 501B total and 23B active parameters, 1M-token context, 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.
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.
Mellum2.1 Thinking is a 12B mixture-of-experts reasoning model with 2.5B active, retrained mostly with reinforcement learning on real repositories.
DeepSeek-V4.1-Flash is a 552B-backbone multimodal MoE with 1M-token context and a 890-byte-per-token KV cache, under MIT.
GLM-5.3 reuses the GLM-5.2 base with new post-training. The weights are public under a custom glm-5.3 licence.
Mistral Medium 3.5 is a dense 128B instruct, reasoning and coding model with 256k context. The licence excludes large-revenue companies.
Nemotron 3 Nano is a 30B hybrid Mamba-2 and MoE model with 3.5B active parameters, under the NVIDIA Nemotron Open Model License.
Olmo 3 has 7B and 32B Instruct and Think variants. Ai2 releases code, checkpoints and training details alongside the weights.
Kimi K2 Thinking is a 1T-parameter MoE with 32B active, 256K context and native INT4 quantisation, under a modified MIT licence.