AI Briefing#open-weight
The latest AI and developer news about #open-weight, with the original source and a short summary.
The latest AI and developer news about #open-weight, with the original source and a short summary.
The 27B-parameter model is available under Apache 2.0 and outperforms FLUX 3 Action and Cosmos3 Nano on the RoboLab-120 leaderboard.
The 16B parameter checkpoints support multi-sensor driving generation and bimanual robot action prediction under the OpenMDW1.1 license.
The 276B-A12B model achieves 20.0% on Terminal-Bench 4.0 and 24.0% on FrontierCode 2.0, running at 200 tokens per second.
The 2.8T parameter Mixture-of-Experts model features a 1M token context window and achieves 65.7 on Terminal-Bench 4.0.
The open-weight model is post-trained from GLM-5.3 to assist with reviewing results and planning experiments in lab settings.
Mistral released the weights for its 1T MoE model, Mistral Large 4, demonstrating token efficiency.
The 1-trillion parameter native multimodal model is fully open-weight, trained in Europe, and offers 96.6% refusal rate for malicious cyber requests.
The 1T parameter model features a 1M token context window and ranks 5th on the Artificial Analysis Intelligence index for open-weight models.
The open-weight reasoning model features 30B parameters with 3B active per token and a 1M token context window.
The open-weight model achieves 184 tokens/s on an Apple M5 Max and scores 48.09 on LiveClaw, outperforming larger models in agentic tasks.
The new open-weight model features only 2B active parameters, achieving up to 1.7x faster inference than comparable MoEs on-device while matching larger models on key agentic benchmarks.
Users can access the open-weight, multimodal model via a single API key without a separate Mistral account.
Aleph Alpha has released Kolibri, an open-weight English-German Mixture-of-Experts model with 78.1 billion parameters and support for 1 million token contexts, available under the Apache 2.0 license.
NVIDIA has released Nemotron 3 Diarization, a 100M parameter open-weight model that ranked first on the Voice Arena Diarization-Bench.
Aikido has released Altar, a lightweight open-weight security model that runs in on-premises environments without leaking sensitive security data.
An open-weight model, PCCG-Qwen3-4B, was released to control generation halting using discontinuity experiments across 11 LLMs and the Jacobian lens.
Mistral raised €3 billion in a Series D round led by Samsung Electronics, pushing its valuation past €21 billion.
Magic announced that a new pretraining recipe reached performance similar to DeepSeek V4 Pro Base with approximately 50x fewer FLOPs, and that training scaled up by approximately 10x subsequently outperformed public base models in perplexity evaluations.
Laguna has released the 225B M.1 and 33B XS.2 models along with the ACP runtime.
Microsoft has released Phi-4-reasoning-vision-15B, a 15B open-weight multimodal reasoning model.