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StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context

StepFun has published open FP8 and BF16 checkpoints for Step 5 Preview, a sparse Mixture-of-Experts model with 600B total parameters, 27B active per token and up to 1M tokens of context, targeting long-horizon agentic work. The release lists data-center-only self-hosting requirements, including 4x B300 or 8x H200 GPUs for the FP8 checkpoint, and an API priced at $1.00 per 1M input tokens and $2.70 per 1M output tokens. StepFun-reported results put it near GLM-5.3 and Kimi K3 on DeepSWE v1.1, whi

Why it matters: It gives developers a concrete new self-hostable open-weight option for agentic and long-context work, with clear hardware requirements, pricing and benchmark caveats.

MarkTechPost1d agoScore 81

StepFunopen-weight LLMsmixture-of-experts

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Meta Releases Muse Spark Open: 816B Open-Weight Multimodal MoE With 1M Context

Meta Superintelligence Labs released Muse Spark Open, an 816B-parameter Mixture-of-Experts model that activates 42B parameters per token and accepts text, image, video and audio input with a 1M-token context window. Weights ship in BF16 and NVFP4 on Hugging Face, with day-one support in SGLang, vLLM, TensorRT-LLM, Transformers, MLX, llama.cpp and Unsloth. Meta reports top scores on tool use (MCP-Atlas 89.2) but trails Kimi K3 and GLM 5.3 on Terminal-Bench 2.1 (76.4) and on Artificial Analysis In

Why it matters: It gives developers concrete open-weight release details, deployment options, license terms and comparative benchmark results for a large multimodal model they could actually adopt.

MarkTechPost2d agoScore 85

Meta Superintelligence LabsMuse Spark Openopen-weight LLMs

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NVIDIA Releases Nemotron 3.5 Super VL, a 120B Open Multimodal Agent Model

NVIDIA released Nemotron 3.5 Super VL, an open vision-language agent model with 120B total parameters and 12B active per token in a mixture-of-experts design, supporting text, image, document and video input with up to 1M-token context. It ships with an NVFP4 checkpoint runnable on a single DGX Spark, H200 or GB200, plus open datasets, training recipes and RL environments in NeMo Gym under the OpenMDW-1.1 license. NVIDIA-reported results include 89.90 on GPQA-Diamond and 71.07 on SWE-bench Verif

Why it matters: Developers get a concrete, deployable open multimodal agent model with published weights, licensing, hardware requirements and benchmark numbers to weigh against alternatives.

MarkTechPost3d agoScore 85

NVIDIANemotron 3.5open-weight LLMs