Articles Tagged "Agentic AI"

NVIDIA Nemotron 3.5 Lightning 30B-A3B

NVIDIA Nemotron 3.5 Lightning 30B-A3B

NVIDIA's 30B MoE model with 3B active parameters, distilled from Nemotron 3 Ultra, hits 86% PinchBench accuracy at up to 4x the output speed of comparable open models.

Qwen3.8-Max

Qwen3.8-Max

Alibaba's 2.4 trillion parameter flagship ships with real pricing and a published benchmark table, but the open-weight release it promised for this week still hasn't shown up.

Muse Glimmer

Muse Glimmer

Meta's 30B open-weight agentic model distilled from Muse Spark runs on a single consumer GPU, ships under Apache 2.0, and leads Gemma4-31B and Qwen3.6-27B on 5 of 8 agentic benchmarks.

Muse Spark 1.1

Muse Spark 1.1

Meta's second Muse model ships a public API at $1.25/$4.25 per million tokens, a 1M-token context window, and the top score on Meta's own tool-use benchmarks.

MAI-Cyber-1-Flash

MAI-Cyber-1-Flash

Microsoft's first in-house cybersecurity model is a 137B sparse MoE fine-tune that drives its MDASH vulnerability harness to a self-reported 95.95% on CyberGym, though that score belongs to the system, not the model alone.

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite

Google DeepMind's cheapest paid Gemini tier prices input at $0.30/M and output at $2.50/M tokens, more than doubling OSWorld-Verified and Terminal-Bench 2.1 scores over Gemini 3.1 Flash-Lite while trailing GPT-5.4 mini on raw coding benchmarks.