Nemotron 3 Super Review: Best Open Model for Agents
NVIDIA Nemotron 3 Super is the strongest open-weight model for agentic coding as of March 2026, but its efficiency-first design means real trade-offs on general knowledge and chat quality.
Nemotron
Nemotron-Cascade 2: 30B Open MoE, One GPU, Beats 120B
NVIDIA's new Nemotron-Cascade-2-30B-A3B activates just 3B parameters per token, runs on a single RTX 4090, and outscores NVIDIA's own 120B model on coding and math benchmarks.
Nemotron 3 Nano 4B: NVIDIA Edge Model Runs on 8GB
NVIDIA's Nemotron 3 Nano 4B packs a Mamba-dominant hybrid architecture, 262K token context, and 95.4% on MATH500 into a model that fits an 8GB Jetson Orin Nano.
Mistral Small 4: 128 Experts, 6B Active, Apache 2.0
Mistral AI releases Small 4 - a 119B MoE with only 6B active parameters, 256K context, configurable reasoning, and Apache 2.0 license. Plus a new NVIDIA partnership to co-develop frontier open models.
NVIDIA Nemotron 3 Super 120B-A12B
NVIDIA Nemotron 3 Super is a 120B-parameter open model with 12B active at inference, combining Mamba-2, LatentMoE, and Multi-Token Prediction for agentic workloads with a 1M token context window.
NVIDIA Ships Nemotron 3 Super - 120B Open Model for Agents
NVIDIA releases Nemotron 3 Super, a 120B-parameter open model with only 12B active at inference, combining Mamba-2 and Transformer layers for agentic AI workloads with a 1M token context window.
Kimi K2.5 vs Nemotron 3 Nano 30B-A3B: Benchmark King vs the Throughput Machine
Comparing Moonshot AI's trillion-parameter Kimi K2.5 with NVIDIA's Mamba2-MoE hybrid Nemotron 3 Nano 30B-A3B - frontier intelligence versus a model engineered for maximum throughput, 1M context, and 10x lower cost.
Nemotron 3 Nano 30B-A3B
NVIDIA's hybrid Mamba2+MoE model packs 31.6B total parameters but activates only 3.2B per token, delivering frontier-class reasoning with 3.3x the throughput of comparable models on a single H200 GPU.
Qwen3.5-35B-A3B vs Nemotron 3 Nano 30B-A3B: Benchmarks vs Throughput in the 3B Active Parameter Class
A data-driven comparison of Alibaba's Qwen3.5-35B-A3B and NVIDIA's Nemotron 3 Nano 30B-A3B - two ~30B MoE models activating ~3B parameters that take fundamentally different architectural approaches to the same problem.
